Arzam Abid
Verified Expert in Engineering
Artificial Intelligence Engineer and Developer
Riyadh, Saudi Arabia
Toptal member since August 14, 2026
Arzam is a senior AI engineer and AI architect with 6 years of experience designing and shipping production AI, NLP, and computer vision systems. She specializes in GenAI platforms, agentic AI, and integrating LLM-powered capabilities into enterprise systems via RAG, embeddings, and API-driven services. Arzam turns ambiguous requirements into reliable, production-grade AI that ships.
Portfolio
Experience
- Artificial Intelligence (AI) - 6 years
- Python - 6 years
- Natural Language Processing (NLP) - 5 years
- SQL - 3 years
- LangGraph - 2 years
- Retrieval-augmented Generation (RAG) - 2 years
- LangChain - 2 years
- Large Language Model Operations (LLMOps) - 2 years
Preferred Environment
Docker, CI/CD Pipelines, Git, GitHub Actions, Amazon Web Services (AWS), Azure, Kubernetes, BERT
The most amazing...
...thing I've built is an end-to-end RAG system that classified enterprise documents at 85-90% accuracy, cutting review time to a third.
Work Experience
Senior Generative AI Engineer | Data Scientist
Tecshield
- Architected transformer-based NLP and document intelligence systems, making core design decisions on model selection, retrieval strategy, and service structure to handle noisy, unstructured enterprise data.
- Designed and built RAG-style, embedding-based retrieval architecture for semantic search, knowledge extraction, and context-aware responses, selecting vector search and chunking strategies to balance accuracy, latency, and cost.
- Integrated GenAI capabilities into back-end systems via FastAPI, Django, and Flask APIs, SQL, and vector search—architecting the boundary between LLM components and existing enterprise workflows.
- Applied prompt engineering, retrieval evaluation, hallucination reduction, and guardrails as core design controls to improve the reliability of production GenAI workflows.
- Worked directly with business and product stakeholders to translate ambiguous requirements into scalable AI service architecture, running demos and incorporating feedback into design iterations.
- Built a content-based product recommendation system using similarity search and feature vector comparison, including product-name matching for catalog resolution, with cold-start handling for new products with limited historical data.
- Improved text classification accuracy by 15% through feature engineering, model tuning, and evaluation-driven iteration.
Machine Learning Engineer
DP World
- Architected computer vision systems (YOLO, Mask R-CNN, OpenCV, FFmpeg) for real-time video analytics and event detection, designing the inference pipeline for near real-time performance at operational scale.
- Designed and built Flask/Django inference APIs to integrate ML outputs with back-end services, databases, and enterprise monitoring platforms.
- Owned the reliability of production inference workflows through debugging, performance tuning, and continuous monitoring.
Data Engineer
Kavtech Solutions
- Engineered ETL pipelines (Python, SQL, Pandas, NumPy) for ingestion, validation, and transformation, feeding downstream ML and analytics systems.
- Reduced Google Ads API latency from 500 milliseconds to 170 milliseconds by redesigning ingestion and processing architecture.
- Built reusable ETL utilities, automated quality checks, and validation workflows that improved reliability for dashboards and reporting.
Junior Data Scientist
Programmers Force
- Developed and evaluated ML models across 1,000+ classification categories, improving performance by 20% through hyperparameter tuning and iterative validation.
- Improved model performance by 20% through hyperparameter tuning, feature selection, and iterative testing.
- Performed exploratory data analysis, model comparison, and statistical interpretation.
Python Developer
Ebiz Ltd
- Built Python back-end systems, REST APIs, and real-time WebSocket features (Django, Flask), the engineering foundation underlying later AI service integration work.
- Implemented WebSocket-based real-time communication features and integration workflows.
- Collaborated with cross-functional teams on back-end development, feature delivery, and problem-solving.
Experience
CareLine — Healthcare Voice Agent
https://github.com/arzamabid/careline-healthcare-voice-agentAthar – AI-powered ESG Compliance for Saudi Vision 2030
https://try.ka.nz/ai/arzamabidEducation
Master's Degree in Computer Science
Hanyang University - Seoul, South Korea
Bachelor's Degree in Electrical Engineering
Government College University - Lahore, Pakistan
Certifications
AI Training Hackathon
Kanz
Build with AI Agent
GeeksforGeeks
Huawei HCIA-AI V3.0
Huawei
Microsoft Certified: Azure AI Fundamentals
Microsoft
Skills
Libraries/APIs
Pandas, OpenAI API, Claude API, PyTorch, TensorFlow, XGBoost, OpenCV, NumPy, Node.js, Scikit-learn, Hugging Face Transformers, React, FFmpeg, REST APIs, vLLM, WhatsApp API
Tools
You Only Look Once (YOLO), Git, MATLAB, Claude Code, n8n, Claude, Whisper, ChatGPT, Codex, Microsoft Copilot, BigQuery
Languages
SQL, Python, TypeScript, C, Python 3
Frameworks
LangGraph, Agentic Frameworks, Django, Flask, LlamaIndex, AutoGen, Express.js
Paradigms
Model Context Protocol (MCP), Machine-learned Ranking (MLR), Microservices
Storage
Data Pipelines, PostgreSQL, NoSQL, Database Management Systems (DBMS)
Platforms
Amazon Web Services (AWS), CrewAI, Docker, Azure, Kubernetes, Ollama, Replit, Azure AI Studio, LiveKit, Google Cloud Platform (GCP), Vertex AI
Industry Expertise
Marketing
Other
AI Architecture, Systems Design, Data Analysis, Machine Learning, Deep Learning, Artificial Intelligence (AI), AI Agents, Large Language Models (LLMs), Agentic AI, Communication, Data Engineering, Data Science, Demand Forecasting, Model Development, Stakeholder Management, Time Series Forecasting, Monitoring, Linear Regression, Attention to Detail, Code Review, Screeners, Written Communication, Team Leadership, Interviewing, Team Management, Optical Character Recognition (OCR), Full-stack, LLM Agents, Data Taxonomy, Recommendation Systems, Taxonomy, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Retrieval-augmented Generation (RAG), FastAPI, Mask R-CNN, LangChain, Embeddings from Language Models (ELMo), Gemini API, Large Language Model Operations (LLMOps), BERT, Computer Vision, Feature Engineering, Model Evaluation, Generative Artificial Intelligence (GenAI), ChatGPT API, Prompt Engineering, Model Deployment, AI Systems, Agentic AI Systems, Multi-agent Orchestration, Multi-agent Systems, API Integration, Agentic RAG Systems, Minimum Viable Product (MVP), OpenAI, Booking Systems, Localization, Mobile Apps, Stripe Payments, Conversational AI, Supabase, Computer Vision Algorithms, Image Processing, Answer Engine Optimization (AEO), OpenAI Agents SDK, AI Model Integration, AI Model Training, Web Applications, WebSockets, CI/CD Pipelines, GitHub Actions, GuardRails, Mathematics, Microcontrollers, Signal Processing, Linear Algebra, Numerical Methods, Mathematical Modeling, Control Systems, Algorithmic Problem Solving, Data Structures, Software Engineering, Research & Experimental Evaluation, EDA, Classification, Hyperparameter Tuning, Lovable, NotebookLM, Magnific, ElevenLabs Solutions, Kokoro, APIs, Vertex, User Experience (UX), User Interface (UI), Auditing, Audits, SEO Tools, Content-Based Filtering, Similarity Search
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