Paul is available for hire
Hire PaulPaul E Dawson
Verified Expert in Engineering
Software Architect and Developer
Atlanta, GA, United States
Toptal member since October 7, 2022
Bio
Paul is an AI full-stack software architect who's built platforms and solutions for Fortune 100 companies and startups. He spent the first seven years of his career developing the skill set to transform clients' ideas into production-ready platforms. For the past three years, Paul has utilized AI to accelerate development and integrate LLMs to create task automation, context-aware reasoning, and agentic flows at scale. He also has deep experience with React and React Native.
Portfolio
Self Employed
JavaScript, Node.js, Azure, Google Cloud, Full-stack Development, React...
Fortune 500 Consumer Good Company
Google Cloud Platform (GCP), Python, React, OpenAI, OpenAI API, Gemini API...
Tamarin Health
React, Material UI, Node.js, Express.js, Sequelize, PostgreSQL, Python 3, SQL...
Experience
- JavaScript - 8 years
- Python - 8 years
- Node.js - 8 years
- React - 8 years
- Full-stack Development - 7 years
- Python 3 - 6 years
- Docker - 5 years
- OpenAI - 3 years
Preferred Environment
Linux, Amazon Web Services (AWS), Azure, Node.js, React, Docker, React Native, Google Cloud Platform (GCP), OpenAI API, Large Language Models (LLMs)
The most amazing...
...thing I've built is an IoT-connected full-stack application fully integrated with Azure Cloud and Azure Active Directory (Azure AD).
Work Experience
Principal Full-stack Architect
2019 - PRESENT
Self Employed
- Collaborated with a data scientist at a government agency to build AI/ML applications. Built APIs in Python using Flask, Django, and other API frameworks. The APIs integrated the AI/ML engines/algorithms into endpoints that were consumed by the UI.
- Built a full-stack IoT native Microsoft Teams application integrated with Microsoft Azure Active Directory, enabling teachers and students to view real-time data and perform aggregate analysis on historical device data. Built with React and Node.js.
- Developed a mobile application for iOS and Android using React Native that worked offline. Built a sync engine that allowed data collected offline to be properly up- and down-synced with the remote Microsoft Dynamics CRM back end.
- Created a custom JavaScript applet that tracked users' interaction with roadside assistance mobile web apps and sent proper intents to the customer automation platform. This triggered the correct phone prompts to guide users through the process.
- Implemented mobile and web applications using React and React Native for the vehicle reconditioning process. The white-label platform allowed dealerships to optimize the process via live tracking and analytics for each car in each step.
- Executed a rebate platform allowing companies to give customers cashback for posting an Instagram story about the product they bought. Constructed a web scraping service that was the basis of the platform using AWS, Node.js, and React.
- Worked with a major media company to develop their TV streaming application using React Native. The application was created for tvOS, Amazon Fire TV, Android TV, and Roku. Implemented payment solutions that worked for all platforms.
- Worked on building an iOS and Android financial wellness application with React Native. Used Redux for state management, Redux middleware for app-level side effects, and TypeScript for typings and code quality.
Technologies: JavaScript, Node.js, Azure, Google Cloud, Full-stack Development, React, Web3.js, Azure IoT Hub, Internet of Things (IoT), Docker, Server Administration, SQL, NoSQL, REST APIs, Agile, HTML5, CSS3, Express.js, Shopify API, API Development, Web Security, API Integration, CSS, TypeScript, .NET, C#, MongoDB, HTML, Amazon Web Services (AWS), React Native, Architecture, Full-stack, Software Architecture, APIs, Dashboards, Python, Cloud Architecture, AWS Cloud Architecture, Redux, Charts, Figma, User Experience (UX), NestJS, Amazon S3 (AWS S3), WebSockets, Jest, Slack API, Slackbot, Virtual DOM, Shopify, REST, Front-end, QA Testing, Cypress, Responsive Web Apps, Storybook, Mobile, Smart Devices, Cross-platform, Mobile Apps, Mobile App Development, Swift, Kotlin, Amazon EC2, AWS Lambda, Amazon DynamoDB, Amazon CloudWatch, Amazon CloudFront CDN, Amazon RDS, Responsive Web Design (RWD), ECMAScript (ES6), Next.js, MySQL, Flux, Web Development, API Design, Progressive Web Applications (PWAs), LocalStorage, Flask, Git, MERN Stack, Back-end, Relational Databases, CI/CD Pipelines, User Interface (UI), OpenAI GPT-4 API, OpenAI GPT-3 API, Google Cloud Platform (GCP), Generative Pre-trained Transformers (GPT), Microservices, Microsoft Teams, Large Language Models (LLMs), Frameworks, Minimum Viable Product (MVP), Compliance, General Data Protection Regulation (GDPR), Data Security, Data Privacy, Artificial Intelligence (AI), Redis, FastAPI, Data Integration, Object-oriented Programming (OOP), Plotly, Technical Leadership, Machine Learning, Early-stage Startups, Messaging, VPN, Mobile Development, Material UI, Terraform, Event-driven Architecture, Vercel, Startups, Apollo, HIPAA Compliance, Back-end Development, OpenAI, Data Engineering, Scalable Application, Video Streaming, Front-end Architecture, Cloud Firestore, Docker Compose, Prompt Engineering, Natural Language Processing (NLP), Finance, Google Maps API, Data Scraping, Agentic AI, AI Tools, Containerization, DevOps, Microservices Architecture, eCommerce, Generative Artificial Intelligence (GenAI), Product Management, Claude Code, Cursor AI, Expo, Serverless Framework, Serverless Architecture, API Architecture, AWS Step Functions, Amazon EventBridge, Amazon Simple Queue Service (SQS), Distributed Systems, Tailwind CSS, Bluetooth, Bluetooth Low Energy (LE), Vector Databases, Network Security, WiFi, Code Review, AI Model Training, AI Prompts, Go, Rust, Agentic AI Systems, SQLAlchemy, AI-assisted Development, Agentic Engineering, Codex, HIPAA, Google Maps, Healthcare, Message Queues, Real-time Data, Real-time Systems, Scheduling, Task Scheduling, Electronic Medical Records (EMR)
AI Full-stack Architect
2024 - 2025
Fortune 500 Consumer Good Company
- Built distributed system architecture: Designed and deployed a scalable, cloud-native back end on Google Kubernetes Engine using FastAPI, Celery, Redis, PostgreSQL, Google Pub/Sub, and Server-Sent Events to support real-time, collaborative workflows.
- Built a RESTful API for user management, prompt construction, and multi-user concept iteration, enabling R&D teams to create, share, and refine product ideas seamlessly. Also built a React front end for the application flows.
- Contributed to LLM queuing service: Established a dedicated Celery-based queue for all LLM interactions, enforcing per-user concurrency limits, customizable prompts, and reliable retry logic.
- Handled AI generation and personas: Integrated OpenAI GPT for text and DALL·E for imagery; leveraged “digital-twin” consumer personas to drive AI feedback loops that iteratively enhance product concepts.
- Enabled agentic context-aware chat: Utilized LangGraph and LangChain to enable agentic workflows through context-aware chat. Users were able to chat continuously to iterate on a generated concept.
- Iterated on the generated images via a chat interface similar to ChatGPT that allowed free writing from the user, which was used to trigger the proper agentic workflow to generate the proper response.
- Built a prompt engineering layer: Developed a dynamic prompt layer that allowed users to customize the prompts used for each LLM call within the platform for a particular concept or user.
- Contributed to different templated prompts for each workflow; they were able to select the prompt and create new ones for each workflow.
- Converted PNG/JPEG, DOC/DOCX, PPT, XLSX/CSV, and other office files to standardized PDFs using ImageMagick and LibreOffice within a Celery workflow. Parsed large (100+ page) PDFs via Google Document AI.
- Enabled LLM summarization and classification: Orchestrated LangChain chains to summarize document content and assign one of five hierarchical classification labels, supporting both real-time uploads and scheduled SharePoint-style ingestions.
Technologies: Google Cloud Platform (GCP), Python, React, OpenAI, OpenAI API, Gemini API, Pub/Sub, Queuing Systems, Server Sent Events (SSE), Docker, Docker Compose, Kubernetes, Django, FastAPI, Prompt Engineering, Natural Language Processing (NLP), Agentic AI, AI Tools, Containerization, DevOps, Microservices Architecture, AI Agents, Agentic Frameworks, Generative Artificial Intelligence (GenAI), Product Management, Claude Code, Cursor AI, API Architecture, Distributed Systems, Code Review, AI Model Training, AI Prompts, Agentic AI Systems, SQLAlchemy, AI-assisted Development, Agentic Engineering, Codex, HIPAA, Healthcare, Message Queues, Real-time Data, Real-time Systems, Scheduling, Task Scheduling, Electronic Medical Records (EMR)
Senior Architect
2018 - 2019
Tamarin Health
- Designed, developed, and tested front- and back-end products and services. Used React, Mobx, mobx-state-tree (MST), Material UI (MUI), Webpack, Jest, and Enzyme.
- Deployed front-end products to the Azure Cloud app devices by creating custom build and deployment pipelines in Azure DevOps to achieve continuous integration and deployment.
- Led demos with clients that showed the full functionality of the products, answered all questions, and served as an integral part in closing clients to utilize products.
- Planned and taught a series of workshops that served as onboarding for clients.
- Created, managed, and tested secure, reliable, and agile back-end services and products. Utilized Node.js, Express, Sequelize, JSON Web Tokens (JWT), Mocha, and Chai to build stateless REST APIs that powered the front-end products.
- Developed customized modules to produce functionalities that fit the exact needs of the apps, including a search module integrated with Sequelize and PostgreSQL that enabled full-text search of a table and its associations.
- Set up NGINX as a proxy server on the VMs. Used PM2 as a process manager to ensure services were always available and restarted when necessary.
- Implemented continuous integration and deployment using Azure DevOps by creating customized deployment pipelines that set up each environment correctly. Installed fresh dependencies and restarted the application.
Technologies: React, Material UI, Node.js, Express.js, Sequelize, PostgreSQL, Python 3, SQL, HTML5, CSS3, API Development, Web Security, API Integration, CSS, TypeScript, JavaScript, HTML, Architecture, Full-stack, Software Architecture, APIs, Dashboards, GraphQL, Python, Cloud Architecture, Charts, Figma, User Experience (UX), WebSockets, Jest, Virtual DOM, REST APIs, REST, Front-end, QA Testing, Cypress, Responsive Web Apps, Responsive Web Design (RWD), ECMAScript (ES6), Web Development, API Design, Progressive Web Applications (PWAs), LocalStorage, Flask, Git, Back-end, Relational Databases, CI/CD Pipelines, User Interface (UI), Frameworks, Minimum Viable Product (MVP), Redis, Data Integration, Object-oriented Programming (OOP), Technical Leadership, Early-stage Startups, Messaging, Startups, HIPAA Compliance, Back-end Development, Front-end Architecture, Containerization, DevOps, Product Management, API Architecture, Code Review, HIPAA, Healthcare
Senior Architect
2018 - 2018
Rentpath
- Built a website with React, Redux Thunk, and Webpack architecture. Volunteered to be on ad hoc teams that built many time-sensitive critical features and integrations.
- Worked with a distributed team to reach milestones in the Agile shop with two-week sprints. Wrote unit and E2E tests that helped ensure high test coverage and stability of the codebase.
- Developed components for a private npm module that was used to extract reusable components.
Technologies: React, Redux, Redux Thunk, HTML5, CSS3, Web Security, API Integration, CSS, TypeScript, JavaScript, HTML, Architecture, Software Architecture, AWS Cloud Architecture, Charts, User Experience (UX), Amazon S3 (AWS S3), Jest, Mapbox, Virtual DOM, REST APIs, REST, Front-end, QA Testing, Flux Architecture, Cypress, Responsive Web Apps, Responsive Web Design (RWD), ECMAScript (ES6), Web Development, LocalStorage, Git, User Interface (UI), Frameworks, Data Integration, Technical Leadership, Scalable Application, Front-end Architecture, Google Maps API, DevOps, eCommerce, Product Management, API Architecture, Code Review
Senior Architect
2016 - 2018
Cox Automotive
- Built internal web applications and tools for the executives using data from different subsidiaries.
- Visualized the data using dashboards and graphs to display the overall health of the company and the health of each of its subsidiaries using MongoDB, Express, Angular, and Node.js (MEAN).
- Led the redesign of the whole application into a MEAN stack format. Built new application infrastructure that was scalable, DRY, easy to read, and enabled fast implementation of new features.
- Converted applications using a RESTful API and an Angular application that consumes it using Restangular.
- Built a mobile application for the executives that allowed real-time updates on incident data throughout the company using React Native, Objective-C, and Java to develop fully native iOS and Android applications.
- Maintained and updated previous iOS applications. Led a complete rebuild and redesign of iOS and Android applications based on React Native that incorporated a Flux and Redux architecture.
- Updated Watch iOS companion application to watchOS 3. Updated back-end Python Eve API to supply real-time updates and send push notifications.
Technologies: MongoDB, React, React Native, Angular, Python 3, Node.js, iOS, Android, WatchOS, Push Notifications, HTML5, CSS3, Cordova, Express.js, API Development, Web Security, API Integration, CSS, JavaScript, HTML, Architecture, Full-stack, Software Architecture, APIs, Dashboards, Python, Cloud Architecture, Redux, Charts, User Experience (UX), Jest, Virtual DOM, REST APIs, REST, Front-end, QA Testing, Flux Architecture, Responsive Web Apps, Mobile, Mobile Apps, Mobile App Development, Swift, Kotlin, Responsive Web Design (RWD), MySQL, Web Development, API Design, LocalStorage, Git, MERN Stack, Back-end, User Interface (UI), Minimum Viable Product (MVP), Technical Leadership, Mobile Development, Back-end Development, Scalable Application, Front-end Architecture, Wearables, DevOps, Product Management, API Architecture, Code Review
Lead Developer
2016 - 2017
SimplyWrks
- Developed an MVP for an Event-based travel application that integrated with social accounts to personalize travel recommendations using Angular2 with NativeScript and React Native to build the iOS and Android apps.
- Built API that retrieves, cleans, and processes data for the application using Node.js, MongoDB, and Express.js. Implemented a Flux and Redux architecture to handle data flow.
- Worked with a startup CEO to build applications based on requirements and design screens.
Technologies: Angular, Node.js, MongoDB, React Native, NativeScript, HTML5, CSS3, Cordova, Express.js, Web Security, API Integration, CSS, JavaScript, HTML, Amazon Web Services (AWS), Architecture, Full-stack, Software Architecture, APIs, Cloud Architecture, Charts, REST APIs, Front-end, QA Testing, Flux Architecture, Responsive Web Apps, Web Development, API Design, Git, Back-end, Relational Databases, User Interface (UI), Minimum Viable Product (MVP), Technical Leadership, Early-stage Startups, Mobile Development, Startups, Back-end Development, Front-end Architecture, Data Scraping, DevOps, API Architecture, Code Review
Software Engineer
2016 - 2016
Moderna
- Developed and maintained a Cloud-based suite of application microservices connected through API endpoints to enable the real-time design, ordering, and production of therapeutic products.
- Containerized with Docker and continuously deployed and integrated to AWS via a Jenkins pipeline. Using Express.js, Node.js, Angular, Sequelize, and PostgreSQL.
- Maintained, added new features, integrated, and wrote API Unit tests using the Jasmine framework for the following microservices.
- Managed multiple microservices. The one handling authentication, one running mail queue automated and templated emailing, and the inventory microservice that operates the tracking of all items.
- Built a file-maker microservice that generated PDFs. It had n UI that allowed users to create custom PDF templates using handlebars and had service endpoints that enabled it to communicate with other microservices.
Technologies: Angular, Sequelize, Docker, Jenkins, PostgreSQL, Microservices, HTML5, CSS3, Express.js, API Development, Web Security, API Integration, CSS, JavaScript, HTML, Amazon Web Services (AWS), Architecture, Full-stack, Software Architecture, APIs, Cloud Architecture, AWS Cloud Architecture, Charts, REST APIs, WebSockets, Front-end, Responsive Web Apps, Web Development, API Design, Git, Relational Databases, User Interface (UI), Early-stage Startups, HIPAA Compliance, Containerization, DevOps, Microservices Architecture, API Architecture, Code Review
Researcher
2014 - 2015
MIT Media Lab
- Performed researched focus on developing an application for Google Glass to be used for augmented statistical analysis. It was the first use case to assist with NBA coaching.
- Coded a dynamic Node.js script to scrape statistical information to supply data to the Glass application.
- Built a Node.js, Express.js API connected to a MongoDB database to store and retrieve data for all NBA player statistics for all games in the season.
- Programmed HTML and CSS to create an application structure that visually showcases the performance of players.
Technologies: Node.js, HTML, CSS, Python 3, Web Scraping, HTML5, CSS3, Express.js, API Integration, JavaScript, MongoDB, Architecture, Full-stack, Software Architecture, APIs, Python, Cloud Architecture, AWS Cloud Architecture, REST APIs, Front-end, Web Development, Relational Databases, User Interface (UI), Data Scraping, Containerization, API Architecture, Code Review
Experience
Operationalizing LLM Reasoning
Created an LLM-based platform for analyzing and sorting documents and text. The platform used Python for the AI services. We implemented a performant and scalable generative AI RAG platform using LlamaIndex, ChromaDB, and an LLM-agnostic service that allowed users to use several individual LLMs from OpenAI GPT, Anthropic Claude, Facebook Llama, the Mistral family of LLMs, and other open source LLMs.
I implemented a scalable queuing system via Amazon SQS and lambda functions to handle all LLM calls. I controlled the parallelism of the queue-based token and request limits for each LLM. I implemented a multi-turn chat component that enabled users to chat with the LLMs about the documents, where the chat history was also used as context. I also implemented a dead letter queue to retry calls that failed.
The user interface was built with Next.js and a React query, and the UI components were developed in Storybook to enable maximum reuse.
I implemented a scalable queuing system via Amazon SQS and lambda functions to handle all LLM calls. I controlled the parallelism of the queue-based token and request limits for each LLM. I implemented a multi-turn chat component that enabled users to chat with the LLMs about the documents, where the chat history was also used as context. I also implemented a dead letter queue to retry calls that failed.
The user interface was built with Next.js and a React query, and the UI components were developed in Storybook to enable maximum reuse.
Applications for Data Scientist
I worked very closely with a data scientist on many projects to integrate their AI/ML algorithms/engines with an application workflow. The data scientist usually created their AI/ML algorithm/engine, whether it be a zero-shot classification algorithm, topic clustering, batch ranking algorithm, or customized chatbot trained on an organization's data. I worked with them closely to understand the algorithm itself and the inputs and outputs needed. I assessed the processing times and architected how that would work from an API and UI standpoint. Once I had a full understanding of the AI/ML engines, I created a full platform (API and UI) around the engines. APIs were generally built in Python in order to easily integrate the AI/ML engines, while the UIs were built in React. I even built an application using React only with AI/ML capabilities by integrating the OpenAI API for a client. I have a great conceptual understanding of AI/ML and a growing technical ability within the space that make it very easy for me to work and collaborate with a data scientist.
Farming in the Future
A fully integrated MS Teams application for classrooms. It enabled teachers to demonstrate how technology is currently changing farming quickly. The platform was a full-stack IoT-integrated application where each student had a device on a farm with several sensors and a camera. The app allows students and teachers to create connected devices and visualize data in real-time.
It allowed teachers and students to store and manage and analyze historical data and trends over time. A Raspberry Pi device loaded with Azure IoT Edge, sensors, a camera used on location, and a live sensor and base64 image data were streamed to the Azure IoT hub.
A hot path was implemented by saving the data streamed on a device level in Azure Cosmos DB. An Azure function was triggered based on the updated device collection, and the live data was then sent to an API.
The API, built with Node.js and Express.js, then used WebSockets to forward the data to the subscribed clients. The UI client was built with React and used Mobx for state management and ReCharts for charting. The UI client displayed live streaming sensor data and streaming images. It also provided analytics on the historical data for each device.
It allowed teachers and students to store and manage and analyze historical data and trends over time. A Raspberry Pi device loaded with Azure IoT Edge, sensors, a camera used on location, and a live sensor and base64 image data were streamed to the Azure IoT hub.
A hot path was implemented by saving the data streamed on a device level in Azure Cosmos DB. An Azure function was triggered based on the updated device collection, and the live data was then sent to an API.
The API, built with Node.js and Express.js, then used WebSockets to forward the data to the subscribed clients. The UI client was built with React and used Mobx for state management and ReCharts for charting. The UI client displayed live streaming sensor data and streaming images. It also provided analytics on the historical data for each device.
Website Scraping RAG Architecture with Q&A
Built a data pipeline that periodically scrapes and processes data from the organization's website. The processed data is then embedded using OpenAI embeddings and stored in ChromaDB, a vector database. I created a REST API that used LlamaIndex to enable questions and answers on the data. I also built a UI in React that allowed users to ask questions about the data. Finally, I implemented a chat feature on the data using LlamaIndex, enabling the users to chat with the bot about the data. The history of the conversation is used as context.
Education
2019 - 2022
Master's Degree in Computer Science
University of Pennsylvania - Philadelphia, PA, USA
2011 - 2015
Bachelor's Degree in Mechanical Engineering
Massachusetts Institute of Technology - Boston, MA, USA
Skills
Libraries/APIs
Node.js, React, REST APIs, API Development, LocalStorage, OpenAI API, Google Maps API, SQLAlchemy, Google Maps, Shopify API, Web3.js, Slack API
Tools
Git, Docker Compose, VPN, Claude Code, Expo, AWS Step Functions, Amazon Simple Queue Service (SQS), AI Prompts, Codex, Figma, Amazon CloudWatch, Plotly, Azure IoT Hub, Sequelize, Redux Thunk, Jenkins, Amazon CloudFront CDN, Microsoft Teams, Terraform
Languages
JavaScript, SQL, HTML, CSS, HTML5, CSS3, TypeScript, GraphQL, Python, ECMAScript (ES6), C, Java, Python 3, C#, Swift, Kotlin, Go, Rust
Frameworks
Material UI, Express.js, Redux, React Native, Next.js, Serverless Framework, Tailwind CSS, Angular, NestJS, Jest, Cypress, Flux, Flask, Agentic Frameworks, NativeScript, .NET, LlamaIndex, Django
Paradigms
Agile, REST, Cross-platform, Responsive Web Design (RWD), Object-oriented Programming (OOP), Mobile Development, Event-driven Architecture, Scalable Application, DevOps, Serverless Architecture, API Architecture, Real-time Systems, Automation, Microservices, HIPAA Compliance, Microservices Architecture
Platforms
Amazon Web Services (AWS), Shopify, Mobile, Kubernetes, Linux, Azure, Docker, iOS, Android, Amazon EC2, AWS Lambda, Bluetooth Low Energy (LE), Blockchain, Azure Functions, WatchOS, Mapbox, Google Cloud Platform (GCP), Ubuntu, Vercel
Storage
Databases, Google Cloud, PostgreSQL, MongoDB, Amazon S3 (AWS S3), Amazon DynamoDB, Relational Databases, Redis, Data Integration, NoSQL, MySQL, Cloud Firestore, Azure Cosmos DB
Industry Expertise
Healthcare
Other
Web Applications, Applications, Full-stack Development, API Integration, Architecture, Full-stack, Software Architecture, APIs, Dashboards, Charts, Virtual DOM, Front-end, QA Testing, Responsive Web Apps, Mobile Apps, Mobile App Development, Web Development, API Design, Progressive Web Applications (PWAs), MERN Stack, Back-end, User Interface (UI), OpenAI GPT-4 API, Large Language Models (LLMs), Frameworks, Minimum Viable Product (MVP), Artificial Intelligence (AI), Technical Leadership, Early-stage Startups, Messaging, Startups, Back-end Development, OpenAI, Front-end Architecture, Large Language Model Operations (LLMOps), Queuing Systems, Prompt Engineering, Data Scraping, Agentic AI, AI Tools, Containerization, Generative Artificial Intelligence (GenAI), Product Management, Cursor AI, Amazon EventBridge, Distributed Systems, Code Review, Agentic AI Systems, AI-assisted Development, Agentic Engineering, HIPAA, Message Queues, Real-time Data, Scheduling, Task Scheduling, Cloud, Computer Science, Data Structures, Web Security, Cloud Architecture, AWS Cloud Architecture, User Experience (UX), WebSockets, Flux Architecture, Storybook, Smart Devices, CI/CD Pipelines, Generative Pre-trained Transformers (GPT), Data Privacy, Compliance, General Data Protection Regulation (GDPR), Data Security, FastAPI, Apollo, Data Engineering, Natural Language Processing (NLP), Finance, AI Agents, eCommerce, Bluetooth, Vector Databases, Network Security, WiFi, AI Model Training, Electronic Medical Records (EMR), Internet of Things (IoT), Server Administration, Azure Databricks, Push Notifications, Web Scraping, Cordova, Slackbot, Amazon RDS, OpenAI GPT-3 API, Llama 2, Llama 3, Anthropic, Mistral AI, ChromaDB, Chatbots, Data Science, Machine Learning, Video Streaming, Wearables, Gemini API, Pub/Sub, Server Sent Events (SSE)
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