Pawel is available for hire
Hire PawelPawel Sloboda
Verified Expert in Engineering
AI systems and Full-Stack Engineer Developer
Silver Spring, United States
Toptal member since October 1, 2026
Bio
Pawel is a senior AI systems engineer with 4 years of experience designing production AI platforms, full-stack applications, and intelligent automation. His expertise includes Python, TypeScript, FastAPI, Next.js, Azure, RAG, LLM agents, vector search, and machine learning. He focuses on scalable architecture, reliability, and real-world business impact.
Portfolio
ChainIT
Python, Model Context Protocol (MCP), AI Agents, JavaScript, React, TypeScript...
SIE Wellness
Next.js, FastAPI, Azure Cosmos DB, TypeScript, Python, Docker, GitHub Actions...
National Defense University (DoD)
Windows, Ubuntu, Kali Linux, Metasploit, Wireshark, SharePoint, Python...
Experience
- AI Agents - 6 years
- Python - 6 years
- TypeScript - 6 years
- Next.js - 4 years
- Microsoft Azure - 4 years
- LLM Integration - 3 years
- FastAPI - 3 years
- Retrieval-augmented Generation (RAG) - 2 years
Work Experience
Senior AI Systems Engineer
2026 - PRESENT
ChainIT
- Designed and built production AI systems and automation workflows supporting marketing, HR operations, IT operations, and internal engineering teams.
- Developed multi-step agentic workflows using Python, LLMs, tool integrations, and structured execution patterns to automate engineering and operational tasks.
- Implemented safeguards around tool access, generated outputs, human review, and execution boundaries to improve reliability and reduce unsafe or unexpected agent behavior.
- Built reusable AI orchestration and integration components that allowed multiple teams to adopt shared AI capabilities without rebuilding core workflow logic.
- Evaluated emerging LLM platforms, coding agents, MCP-based integrations, and orchestration patterns for accuracy, reliability, latency, and production suitability.
- Designed AI workflows with measurable success criteria, validation steps, fallback behavior, and operational observability.
- Worked directly with technical and business stakeholders to translate ambiguous operational problems into scoped AI use cases and maintainable production workflows.
- Standardized reusable agentic-development patterns for tool calling, structured outputs, controlled execution, and human-in-the-loop workflows.
Technologies: Python, Model Context Protocol (MCP), AI Agents, JavaScript, React, TypeScript, DevOps, Node.js, LLM Agents, Cursor AI, Claude Code, Generative Coding, Prompt Engineering, AI Automation, Full-stack, Next.js, GitHub Actions, GitHub CLI, GitHub Copilot, Jira, Confluence, Amazon Web Services (AWS), Amazon S3 (AWS S3), Cloudflare, Vercel, Lovable, Auth0, Pydantic, CI/CD Pipelines, Automation, React Query, Beautiful Soup, Pytest, Agentic Coding, Amazon EC2, Vector Search, HIPAA, API Development, AI Programming, Role-based Access Control (RBAC), Webhooks, GraphDB, Oracle Cloud Infrastructure (OCI) Generative AI, Payment APIs, Multer, Agentic AI, LLM Integration, AI Prompts, Agentic Workflow Design, Workflow Automation, System Design, Production Support, Enterprise Software, Test Automation Architecture, AI-assisted Development, Google Cloud Platform (GCP), Software Architecture, Data Security, Multi-tenant Architecture, Integrations, MySQL, Python 3, SOC 2, SOAP, Large Language Models (LLMs), Artificial Intelligence (AI), Knowledge Graphs, LlamaIndex, LangChain, GraphRAG, Harness, Audits, Linux, SQL, APIs, Back-end, Front-end, Microservices, Object-oriented Programming (OOP), Distributed Systems, Amazon EKS, AI Evaluation, Model Evaluation, Retrieval-augmented Generation (RAG), Information Extraction, Azure OpenAI Service, AI Model Training, Service-oriented Architecture (SOA), Architecture, Leadership, Technical Leadership, Education Technology (Edtech), Data Engineering, API Integration, Data Modeling, Graph API, GraphQL, SQLModel, AI Consulting, AI Engineering, Agentic RAG Systems, Agentic Frameworks, Claude API, RAG Architecture, Cloud Platforms, Claude, Supabase, Pgvector, Recommendation Systems, Replit, Search Engines, Vite, RAG Systems, Amazon Bedrock, Software Engineering, LangGraph, Ollama, Amazon Bedrock AgentCore, AWS Lambda, Serverless Framework, eCommerce, Infor ION, WebSockets, Codex, OpenAI, AI-generated Video, Express.js, OpenRouter, React Router, React Redux, Redux, Generative Artificial Intelligence (GenAI), Payment Gateways, Browser Automation, Computer Vision, Web Applications, User Interface (UI), OAuth, SDK Development, Security, AWS CloudFormation, Relational Databases, Kubernetes, Angular, Asyncio, SQLAlchemy, Databricks, Datadog, Grafana, Prometheus, Amazon Transcribe, Cloud, Startups, System Architecture, Team Leadership, Video Streaming, Streaming, Azure, Agentic AI Systems, BigQuery, Cloud Run, Gemini, Google ADK, Google Kubernetes Engine (GKE), OpenAI SDK, Vertex AI
Full-stack Software Engineer
2025 - 2026
SIE Wellness
- Built a production AI-powered healthcare-access platform matching users with more than 10,000 providers and 500,000 healthcare services across the DMV region.
- Designed a production architecture using Next.js, React, FastAPI, Azure Cosmos DB, and Azure OpenAI embeddings for semantic search and AI-assisted healthcare discovery.
- Developed a TypeScript and Python LLM extraction framework for clinical, insurance, and service-related information, achieving approximately 92% F1 accuracy.
- Designed evaluation workflows to measure extraction quality using precision, recall, F1, validation rules, and structured output checks.
- Implemented embedding-based semantic retrieval using Azure OpenAI and Cosmos DB to improve relevance beyond traditional keyword search.
- Tuned vector-search configuration, indexing strategies, retrieval logic, and application queries to improve retrieval quality, latency, and infrastructure efficiency.
- Reduced Azure Cosmos DB request costs by approximately 38% through index optimization, vector-search tuning, and query redesign.
- Built data-processing and validation workflows that transformed unstructured healthcare and insurance information into structured, searchable records.
- Integrated AI extraction, semantic retrieval, APIs, databases, and React-based user workflows into a unified production platform.
- Implemented Docker and GitHub Actions CI/CD workflows with structured logging, health checks, and repeatable production releases.
Technologies: Next.js, FastAPI, Azure Cosmos DB, TypeScript, Python, Docker, GitHub Actions, Microsoft Azure, OpenAI API, Next.js 14, React, LLM Integration, LLM Agents, Programmatic SEO, Vector Search, HIPAA Compliance, AI SDK, Claude Code, Codex, Claude Agent SDK, Confluence, ChatGPT, React Hook Form, React Query, Yup, Zod, API Development, Beautiful Soup, React Flow, NGINX, Search Engine Optimization (SEO), Role-based Access Control (RBAC), Data Validation, Redis, Data Pipelines, Graph Databases, Agile, Payment APIs, Compliance, NextAuth.js, NestJS, LangGraph, Server-side Rendering (SSR), Progressive Web Applications (PWAs), AI Chatbots, Docker Cloud, Cosmos, IndexedDB, Query Optimization, TypeScript 5, TypeScript 4, JavaScript, Azure, Azure OpenAI Service, Embeddings from Language Models (ELMo), Vector Databases, REST APIs, Docker Hub, Tailwind CSS, Shadcn, Responsive Design, Performance Optimization, Programmatic Design, Full-stack Development, AI-assisted Development, Google Cloud Platform (GCP), Software Architecture, Data Security, Multi-tenant Architecture, DigitalOcean, Integrations, Django, MySQL, Python 3, SOC 2, SOAP, Large Language Models (LLMs), Artificial Intelligence (AI), Knowledge Graphs, Harness, Audits, Linux, SQL, APIs, Back-end, Front-end, Java, Spring Boot, Microservices, Object-oriented Programming (OOP), Distributed Systems, Apache Tomcat, Node.js, Machine Learning, Natural Language Processing (NLP), Model Evaluation, F1 Score, Information Extraction, Semantic Search, Retrieval-augmented Generation (RAG), AI Agents, AI Model Training, Ruby on Rails (RoR), Service-oriented Architecture (SOA), Architecture, Leadership, Technical Leadership, Education Technology (Edtech), Data Engineering, API Integration, Data Modeling, Graph API, GraphQL, SQLModel, AI Consulting, AI Engineering, Agentic RAG Systems, Agentic Frameworks, Claude API, RAG Architecture, Cloud Platforms, Claude, Supabase, Pgvector, Recommendation Systems, Replit, Search Engines, Vite, RAG Systems, Amazon Bedrock, Software Engineering, Ollama, Amazon Bedrock AgentCore, AWS Lambda, Serverless Framework, BigCommerce, Shopify, eCommerce, Infor ION, Agentic Coding, Agentic AI, WebSockets, Cursor AI, OpenAI, Elasticsearch, Express.js, OpenRouter, React Router, React Redux, Redux, WebRTC, WebXR, Generative Artificial Intelligence (GenAI), Payment Gateways, Full-stack, Browser Automation, Computer Vision, Web Applications, User Interface (UI), OAuth, SDK Development, Security, AWS CloudFormation, Relational Databases, Kubernetes, Angular, Vue, Go, Asyncio, SQLAlchemy, Databricks, Datadog, Grafana, Prometheus, Model Context Protocol (MCP), Amazon Transcribe, Agentic Workflow Design, Cloud, Startups, System Architecture, Video Streaming, Streaming, Agentic AI Systems, BigQuery, Cloud Run, Gemini, Google ADK, Google Kubernetes Engine (GKE), OpenAI SDK, Vertex AI
Software Engineer
2025 - 2025
National Defense University (DoD)
- Led a Windows 7-to-Windows 11 modernization across 80 laptops supporting Department of Defense cyber warfare simulation and cybersecurity training environments.
- Configured Windows and Ubuntu virtualized environments with Kali Linux, Metasploit, Wireshark, and related cybersecurity tooling for hands-on simulation laboratories.
- Built a local retrieval-augmented generation assistant integrated with internal SharePoint content to improve access to operational documentation and training resources.
- Implemented the RAG workflow using Python, LangChain, Llama, and vector-database technologies to enable contextual retrieval across internal documents.
- Developed an OpenAI-assisted research workflow that cross-referenced approximately 17,000 graduates and extracted roughly 10,000 structured alumni profiles.
- Automated cybersecurity toolchain setup and environment preparation using reusable scripts, reducing repeated manual configuration across training systems.
- Managed network configurations, firewall rules, vulnerability environments, and supporting automation scripts required for reliable cybersecurity simulation infrastructure.
- Built automated data-collection workflows using Selenium, Beautiful Soup, and OpenAI-assisted extraction to transform large volumes of web information into structured records.
- Supported both Windows and Linux systems used for cyber training, combining infrastructure administration, network configuration, automation, and application development responsibilities.
- Integrated AI-assisted retrieval and data-processing workflows into a security-focused environment while working within the operational constraints of a DoD organization.
Technologies: Windows, Ubuntu, Kali Linux, Metasploit, Wireshark, SharePoint, Python, LangGraph, RAG Systems, RAG Pipelines, Retrieval-augmented Generation (RAG), Llama 3, Vector Databases, OpenAI APIs, Selenium, Beautiful Soup, Network Security, Information Retrieval, System Administration, Web Scraping, Batch Scripting, Data Extraction, Network Configuration, Firewalls, Enterprise Cybersecurity, Windows 11, AI-assisted Development, Software Architecture, Multi-tenant Architecture, DigitalOcean, Integrations, Django, MySQL, Python 3, SOAP, Large Language Models (LLMs), Artificial Intelligence (AI), Knowledge Graphs, LlamaIndex, Harness, Audits, Enterprise Security, Linux, SQL, APIs, Back-end, Front-end, Java, Spring Boot, Microservices, Object-oriented Programming (OOP), Distributed Systems, Apache Tomcat, Node.js, Amazon EKS, Azure OpenAI Service, AI Model Training, Ruby on Rails (RoR), Architecture, Leadership, Technical Leadership, Education Technology (Edtech), Data Engineering, API Integration, Graph API, GraphQL, SQLModel, AI Consulting, AI Engineering, Agentic Frameworks, RAG Architecture, Cloud Platforms, Claude, Supabase, Pgvector, Recommendation Systems, Replit, Search Engines, TypeScript, Vite, Amazon Bedrock, Software Engineering, Ollama, Amazon Bedrock AgentCore, AWS Lambda, Serverless Framework, BigCommerce, Shopify, eCommerce, Agentic Coding, Agentic AI, WebSockets, OpenAI, Elasticsearch, Express.js, OpenRouter, React Router, React Redux, Redux, WebRTC, WebXR, Generative Artificial Intelligence (GenAI), Payment Gateways, AI Agents, Full-stack, Browser Automation, Computer Vision, Web Applications, User Interface (UI), Trading, OAuth, SDK Development, Security, Personally Identifiable Information (PII), AWS CloudFormation, Relational Databases, Kubernetes, Angular, Internet of Things (IoT), Asyncio, SQLAlchemy, Databricks, Datadog, Grafana, Prometheus, Model Context Protocol (MCP), Amazon Transcribe, Agentic Workflow Design, Cloud, Startups, System Architecture, Azure, Agentic AI Systems, BigQuery, Google ADK, OpenAI SDK
Machine Learning Engineer
2024 - 2024
Adobe
- Engineered Python machine-learning pipelines integrating data from four analytics dashboard sources and normalizing customer-support data for predictive modeling.
- Developed, trained, and evaluated Random Forest and XGBoost models for KPI prediction, risk scoring, customer engagement analysis, and proactive support strategies.
- Built feature-engineering pipelines covering escalation ratios, support impact, portfolio complexity, engagement intensity, and proactive engagement scoring.
- Performed model configuration, hyperparameter tuning, validation, and comparative evaluation across predictive-modeling experiments.
- Designed reusable ML workflows that separated data preparation, feature generation, model training, tuning, evaluation, and reporting into maintainable processing stages.
- Created feature-importance analysis, correlation matrices, model diagnostics, and structured reports to explain predictive behavior to business stakeholders.
- Applied machine-learning and statistical-analysis techniques to identify patterns associated with engagement, escalation risk, customer activity, and service outcomes.
- Transformed multi-source analytics data into validated machine-learning features reusable across multiple predictive experiments.
- Evaluated model behavior and feature relationships to improve model interpretability and support business decision-making.
- Communicated model performance and predictive insights through visualizations and structured reporting for technical and non-technical stakeholders.
Technologies: Python, XGBoost, Pandas, Scikit-learn, Random Forests, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Hyperparameter Tuning, Hyperparameter Optimization, Matplotlib, Seaborn, Data Analysis, Model Evaluation, Data Entry Analysis, Data Processing, Data Validation, Statistical Analysis, Correlational Analysis, Feature Importance, Predictive Analytics, KPI Analysis, Classification, Model Tuning, Large-scale Data Processing, Software Architecture, Multi-tenant Architecture, DigitalOcean, Integrations, MySQL, Python 3, Large Language Models (LLMs), Artificial Intelligence (AI), Knowledge Graphs, Harness, Audits, Linux, APIs, Back-end, Front-end, Spring Boot, Microservices, Object-oriented Programming (OOP), Distributed Systems, Node.js, Amazon EKS, Azure Machine Learning, Adaptive Learning, Predictive Learning, Random Forest Regression, AI Model Training, AI Evaluation, Hyperparameter, Statistical Methods, Natural Language Processing (NLP), F1 Score, Information Extraction, Azure OpenAI Service, Architecture, API Integration, Data Modeling, SQLModel, AI Engineering, Agentic RAG Systems, RAG Architecture, Cloud Platforms, Claude, Supabase, Pgvector, Recommendation Systems, Replit, Search Engines, TypeScript, Vite, RAG Systems, Software Engineering, LangGraph, Ollama, Serverless Framework, eCommerce, Agentic AI, WebSockets, OpenAI, Elasticsearch, Express.js, OpenRouter, React Router, React Redux, Redux, WebRTC, WebXR, Generative Artificial Intelligence (GenAI), Payment Gateways, AI Agents, Full-stack, Computer Vision, Web Applications, User Interface (UI), Trading, OAuth, SDK Development, AWS CloudFormation, Relational Databases, Internet of Things (IoT), Asyncio, Grafana, Prometheus, Model Context Protocol (MCP), Amazon Transcribe, System Architecture, Azure, Agentic AI Systems, OpenAI SDK
Software Developer
2024 - 2024
California Department of Social Services
- Developed a Python eligibility-processing pipeline that analyzed more than 167,000 households for California public benefits and eligibility workflows.
- Built repeatable data-processing workflows that transformed raw public datasets into structured inputs for eligibility calculations, policy analysis, and feature generation.
- Engineered a YAML-driven compliance automation framework that allowed policy and configuration changes to be implemented without repeatedly rewriting application logic.
- Reduced manual data reconfiguration by separating policy rules from processing code and representing configurable requirements through reusable YAML definitions.
- Automated the acquisition, preparation, and normalization of public PUMS datasets to create consistent inputs for downstream analysis and eligibility processing.
- Created Matplotlib and Seaborn visualizations that helped stakeholders explore eligibility outcomes, policy effects, and underlying data patterns.
- Developed reusable Python components for data extraction, transformation, validation, and analysis across large public-sector datasets.
- Supported policy-oriented decision-making by converting large datasets into repeatable analytical workflows and interpretable visual outputs.
- Designed the processing workflow to accommodate changing compliance and policy requirements without requiring extensive manual reconfiguration of the underlying data pipeline.
Technologies: Python, YAML, Matplotlib, Seaborn, Data Analysis, Data Pipelines, Data Processing, Data Validation, Data Extraction, Graph Databases, Workflow Automation, Workflow Automation & System Integration, Feature Engineering, Security Policy Analysis, ETL, Large-scale Data Processing, Software Development, AI Automation, Statistical Analysis, Software Architecture, Multi-tenant Architecture, DigitalOcean, Integrations, Django, MySQL, Python 3, Insurance, Large Language Models (LLMs), Artificial Intelligence (AI), Knowledge Graphs, Enterprise Security, Linux, APIs, Back-end, Microservices, Object-oriented Programming (OOP), Apache Tomcat, Node.js, AI Model Training, Ruby on Rails (RoR), Service-oriented Architecture (SOA), Architecture, API Integration, SQLModel, Cloud Platforms, Claude, Supabase, Replit, Search Engines, TypeScript, Vite, RAG Systems, Software Engineering, Serverless Framework, BigCommerce, Shopify, eCommerce, Agentic AI, OpenAI, Express.js, OpenRouter, React Router, React Redux, Redux, WebXR, Generative Artificial Intelligence (GenAI), AI Agents, Full-stack, Computer Vision, Web Applications, User Interface (UI), OAuth, SDK Development, AWS CloudFormation, Relational Databases, System Architecture, OpenAI SDK
Project History
Apicus.io – Advanced RAG and Automation Recommendation Platform
https://apicus.ioI built an advanced retrieval-augmented generation platform to discover and recommend automation workflows from more than 500,000 possible combinations. I designed the vector-search architecture and RAG pipeline using OpenAI and Azure AI, improving retrieval accuracy by approximately 50%.
I also developed the FastAPI and MongoDB back end with sub-100 milliseconds response latency and containerized the application with Docker and CI/CD on Azure, reducing deployment cycles by roughly 70%. I contributed to product strategy and iterative beta development, helping the platform reach more than 50 early users.
I also developed the FastAPI and MongoDB back end with sub-100 milliseconds response latency and containerized the application with Docker and CI/CD on Azure, reducing deployment cycles by roughly 70%. I contributed to product strategy and iterative beta development, helping the platform reach more than 50 early users.
Healthcare Cost Navigator – AI-powered Healthcare Pricing Search
https://healthcare-cost-navigator.vercel.appI built a full-stack healthcare data platform that transforms Medicare hospital-pricing data into a conversational search experience for patients and analysts. I designed a PostgreSQL, PostGIS, and pgvector data layer containing more than 2.7 million records, supporting geospatial radius queries and semantic SQL-template matching in under 20 milliseconds.
I integrated GPT-4o for natural-language-to-SQL parsing with normalization and safety checks, delivering streaming responses in approximately 1.5 seconds. I deployed the database and FastAPI back end on AWS using Docker Compose for a repeatable one-command setup.
I integrated GPT-4o for natural-language-to-SQL parsing with normalization and safety checks, delivering streaming responses in approximately 1.5 seconds. I deployed the database and FastAPI back end on AWS using Docker Compose for a repeatable one-command setup.
SecuSpark – Gamified AI-powered Cybersecurity Learning Platform
https://secuspark.comI built and scaled a gamified cybersecurity-learning application designed around Security+ exam preparation. I developed interactive RPG-style progression and analytics features and integrated GPT-4 capabilities for explanations, mnemonics, adaptive difficulty, and personalized learning insights.
I also implemented an offline-first IndexedDB architecture to support responsive application behavior and sub-50-millisecond edge AI latency. The platform grew to more than 1,000 monthly users while combining AI-assisted learning, gamification, analytics, and cybersecurity education in a single experience.
I also implemented an offline-first IndexedDB architecture to support responsive application behavior and sub-50-millisecond edge AI latency. The platform grew to more than 1,000 monthly users while combining AI-assisted learning, gamification, analytics, and cybersecurity education in a single experience.
DigitizeMD – Digital Media Conversion and Order Management Platform
https://digitizemd.comI built a full-stack platform for managing analog-to-digital media conversion orders, including customer scheduling, payments, pricing, shipping, authentication, and administrative workflows. I developed the application with Next.js 15 and React 19 and implemented authentication using Clerk. I designed the application data layer with Prisma and PostgreSQL and integrated Stripe webhooks to support payment and order-processing workflows.
The project demonstrates end-to-end product development across front-end engineering, back-end integration, relational data modeling, authentication, and payment infrastructure.
The project demonstrates end-to-end product development across front-end engineering, back-end integration, relational data modeling, authentication, and payment infrastructure.
Education
2022 - 2025
Bachelor's Degree in Computer Technology Network Enterprise Infrastructure
Bowie State University - Bowie, MD, USA
Skills
Libraries/APIs
React, Node.js, OpenAI API, React Query, Beautiful Soup, API Development, React Hook Form, Yup, Zod, React Flow, Graph API, Claude API, React Router, React Redux, WebRTC, WebXR, Asyncio, SQLAlchemy, XGBoost, Pandas, Scikit-learn, REST APIs, Pydantic, Stripe, Stripe API, Vue, Matplotlib
Tools
Claude Code, Auth0, Multer, Codex, ChatGPT, AI Prompts, Docker Hub, Shadcn, Prisma, GraphRAG, Apache Tomcat, Claude, AWS CloudFormation, Grafana, Amazon Transcribe, BigQuery, Wireshark, Seaborn, GitHub CLI, Jira, Pytest, Oracle Cloud Infrastructure (OCI) Generative AI, AI SDK, Claude Agent SDK, NGINX, Docker Compose, Amazon EKS, Google Kubernetes Engine (GKE), Metasploit, GitHub Copilot, Confluence, Azure OpenAI Service, Azure Machine Learning
Languages
TypeScript, Python, YAML, JavaScript, Java, TypeScript 5, TypeScript 4, SQL, Python 3, GraphQL, Go
Frameworks
Next.js, Tailwind CSS, Next.js 14, NestJS, LangGraph, Django, LlamaIndex, Ruby on Rails (RoR), Agentic Frameworks, Serverless Framework, Express.js, Redux, Spring Boot, Angular, Selenium
Paradigms
Model Context Protocol (MCP), Search Engine Optimization (SEO), Programmatic Design, Agile Software Development, Gamification, Object-oriented Programming (OOP), Service-oriented Architecture (SOA), DevOps, Automation, HIPAA Compliance, Agile, Microservices, Role-based Access Control (RBAC), ETL
Platforms
Windows, Ubuntu, Linux, Azure, DigitalOcean, Harness, Replit, Ollama, AWS Lambda, BigCommerce, Shopify, Kubernetes, Databricks, Docker, Kali Linux, SharePoint, Amazon Web Services (AWS), Vercel, Amazon EC2, Clerk, Google Cloud Platform (GCP), Cloud Run, Vertex AI
Storage
Docker Cloud, MongoDB, PostgreSQL, MySQL, Elasticsearch, Relational Databases, Datadog, Azure Cosmos DB, Data Pipelines, Data Validation, Amazon S3 (AWS S3), Redis, Graph Databases, IndexedDB, PostGIS
Industry Expertise
Insurance, Enterprise Security
Other
AI Agents, Vector Databases, Responsive Design, Software, Full-stack, Lovable, Agentic Coding, AI Programming, Webhooks, Server-side Rendering (SSR), Progressive Web Applications (PWAs), AI Chatbots, RAG Systems, RAG Pipelines, Agentic AI, Agentic Workflow Design, System Design, Full-stack Development, Windows 11, Software Development, OpenAI, Back-end Development, AI Integration, Product Development, Pgvector, AI Model Integration, Authentication, Front-end Development, AI-assisted Development, Software Architecture, Multi-tenant Architecture, Integrations, SOAP, Large Language Models (LLMs), Artificial Intelligence (AI), Knowledge Graphs, LangChain, Audits, APIs, Back-end, Front-end, Distributed Systems, AI Model Training, Architecture, Leadership, Technical Leadership, Education Technology (Edtech), API Integration, Data Modeling, SQLModel, AI Consulting, AI Engineering, Agentic RAG Systems, RAG Architecture, Cloud Platforms, Supabase, Search Engines, Vite, Amazon Bedrock, Software Engineering, Amazon Bedrock AgentCore, eCommerce, Infor ION, WebSockets, OpenRouter, Generative Artificial Intelligence (GenAI), Payment Gateways, Browser Automation, Computer Vision, Web Applications, User Interface (UI), OAuth, SDK Development, Security, Personally Identifiable Information (PII), Cloud, Startups, System Architecture, Agentic AI Systems, Gemini, OpenAI SDK, FastAPI, GitHub Actions, Microsoft Azure, OpenAI APIs, CI/CD Pipelines, LLM Integration, Prompt Engineering, Embeddings, Vector Search, Model Evaluation, Feature Engineering, Predictive Modeling, Semantic Search, Performance Optimization, Network Configuration, Virtualization, LLM Agents, Cursor AI, Generative Coding, AI Automation, HIPAA, GraphDB, Payment APIs, NextAuth.js, Cosmos, Retrieval-augmented Generation (RAG), Network Security, Machine Learning, Model Tuning, Workflow Automation, Enterprise Software, Test Automation Architecture, System Administration, Web Scraping, Workflow Automation & System Integration, Security Policy Analysis, Data Engineering, Data Security, SOC 2, AI Evaluation, Natural Language Processing (NLP), F1 Score, Information Extraction, Recommendation Systems, AI-generated Video, Trading, Internet of Things (IoT), Prometheus, Team Leadership, Video Streaming, Streaming, Google ADK, SharePoint Integration, Programmatic SEO, Enterprise Cybersecurity, Network Design, Cisco, Cloudflare, Compliance, Query Optimization, Llama 3, Random Forests, Hyperparameter Tuning, Hyperparameter Optimization, Data Analysis, Data Entry Analysis, Data Processing, Statistical Analysis, Correlational Analysis, Feature Importance, Predictive Analytics, KPI Analysis, Classification, Large-scale Data Processing, Production Support, Embeddings from Language Models (ELMo), Information Retrieval, Batch Scripting, Data Extraction, Firewalls, GPT Neo, Natural Language Processing, Natural Language to SQL, OpenAI GPT-4 API, Offline-first Architecture, Analytics, Adaptive Learning, Order Management, Predictive Learning, Random Forest Regression, Hyperparameter, Statistical Methods
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