AI & Machine Learning

• Large Language Models (LLMs): GPT-4, Claude, Gemini, Qwen, LLaMA, OpenRouter, Prompt Engineering
• RAG Systems & Vector Databases: LangChain, LlamaIndex, Qdrant, semantic search, document retrieval
• Agent Orchestration & Frameworks: LangGraph, OpenClaw, MCP (Model Context Protocol), multi-agent systems
• Conversational AI: Voice agents, chatbots, natural language understanding, dialogue management
• ML Operations: Model deployment, monitoring, MLflow, experiment tracking, production ML pipelines

Python & Backend Development

• Python Frameworks: FastAPI, Django, Flask, RESTful APIs, async programming, WebSockets
• ML Libraries: Scikit-Learn, XGBoost, LightGBM, Pandas, NumPy, Matplotlib, Plotly, Seaborn, SciPy
• API Development: OpenAPI/Swagger, authentication (JWT, OAuth2), rate limiting, API gateway, microservices

Data Engineering & Web Scraping

• Web Scraping & Crawling: Crawlee, Playwright, Selenium, BeautifulSoup, Scrapy, Puppeteer, anti-bot bypass
• Data Processing: ETL pipelines, data cleaning, feature engineering, exploratory data analysis (EDA), data validation
• Workflow Automation: n8n, Make.com, Celery, Prefect, scheduled jobs, event-driven architectures

Databases & Data Storage

• Relational Databases: PostgreSQL, MySQL, SQLite, database design, query optimization, indexing
• NoSQL Databases: MongoDB, Redis, Firebase, Airtable, document stores, caching strategies
• Vector Databases: Qdrant, Pinecone, Weaviate, Milvus, embedding storage, similarity search

Frontend & Full-Stack Development

• JavaScript/TypeScript: React.js, Next.js, Node.js, Express.js, responsive design, state management
• Data Visualization: Chart.js, Plotly, D3.js, Streamlit dashboards, interactive analytics

DevOps & Cloud Infrastructure

• Containerization & Deployment: Docker, Docker Compose, CI/CD (GitHub Actions), serverless
• Cloud Platforms: Azure (Storage, Functions), AWS (EC2, S3, Lambda), Linux administration

ABC TEKNOLOGY | Ottawa, Canada (Remote)

AI Engineer & Senior Web Scraping Developer | Jan 2026 - Present

• Designed and developed a production AI shopping assistant for UAE grocery price comparison, using a FastAPI backend and LangGraph agent architecture to interpret natural-language shopping requests, search retailers in parallel, filter results, and rank products by relevance and value.
• Built parallel web-crawling and data-ingestion services for major UAE grocery retailers, supporting live product, price, availability, and catalog data for AI-powered shopping workflows.
• Developed a cross-platform React Native / Expo mobile application for iOS and Android with TypeScript, multi-provider OAuth, secure session management, and real-time backend communication.
• Extended the same AI backend to WhatsApp, enabling users to interact with the shopping assistant through multiple channels using Twilio.
• Implemented LLM-driven product ranking, availability filtering, relevance filtering, live progress streaming, and multi-step agent orchestration using LangGraph and OpenAI.
• Designed backend services with PostgreSQL and Redis for persistent data, caching, session management, and scalable request handling.
• Worked across AI architecture, backend APIs, web scraping, mobile development, authentication, integrations, and production deployment.

STECHAI | Lahore, Pakistan

AI / ML Engineer | July 2025 - Present

• Designed and deployed a production RAG platform for enterprise knowledge retrieval across 100K+ documents, using LangChain, Qdrant, hybrid retrieval, citation grounding, FastAPI, Redis, GPT-4, and Claude.
• Implemented MCP-based AI agents capable of multi-step tool use and reasoning, extending the RAG platform beyond document retrieval into agentic workflows.
• Optimized document chunking, retrieval, caching, and validation pipelines, achieving 94% retrieval accuracy and approximately 70% faster search.
• Built TrendGen, an end-to-end AI trend intelligence platform processing 100K+ social posts per run using embeddings, Sentence Transformers, BERTopic, LLM-assisted trend naming, Qdrant, and MongoDB.
• Developed emerging-signal forecasting using Qdrant vector search and Dynamic Time Warping (DTW), achieving a 74% emerging-signal hit rate with approximately 17 days average forecast lead time.
• Built asynchronous ML job orchestration with live progress streaming, scheduled pipelines, model versioning, and Azure Blob Storage for repeatable production inference.
• Developed a React and TypeScript administration console for trend generation, model management, trend exploration, forecasting, monitoring, and analytics.
• Designed and deployed FastAPI services and data pipelines integrating MongoDB, Qdrant, Azure Storage, OpenAI, and scheduled ML workflows.

FREELANCE AI ENGINEER | Remote

Independent AI Consultant | 2023 - Present

• Designed and delivered production AI, automation, CRM, marketing, conversational AI, and full-stack products for international clients across service, sales, marketing, and technology use cases.
• Built Tap Connect, a production digital identity and networking platform using Next.js, FastAPI, PostgreSQL, Redis, HubSpot, NFC, and QR workflows, including live profiles, card management, connection capture, analytics, team governance, and CRM integrations.
• Developed Communication AI Hub, a production CRM and communications operations platform integrating lead intake, automated nurture flows, email, SMS, voice, call review, inbound AI agents, human review queues, and CRM workflows.
• Built Marketing AI Hub, a multi-brand content and advertising platform that transforms field videos into AI-generated social content, campaigns, organic posts, and Meta advertising workflows with human approval and brand controls.
• Designed and deployed AI voice agents and omnichannel booking systems using VAPI, OpenAI, Twilio, FastAPI, n8n, and Airtable for automated phone, SMS, and web booking.
• Developed intelligent document-processing and knowledge systems using RAG, vector databases, LLMs, and MCP-based agent workflows for automated extraction, retrieval, validation, and reporting.
• Built full-stack AI applications combining Python/FastAPI backends with React, Next.js, and React Native frontends, integrating third-party APIs, automation platforms, databases, and cloud services.
• Worked directly with international clients on architecture, technical planning, implementation, integrations, debugging, deployment, and production optimization.

AI Shopping Assistant | Agentic AI

Python, FastAPI, LangGraph, OpenAI GPT-4o, React Native, Expo, TypeScript, PostgreSQL, Redis, Twilio

• Built a conversational grocery price-comparison assistant for the UAE supporting iOS, Android, and WhatsApp.
• Designed a multi-step LangGraph agent that interprets natural-language shopping requests, searches four major retailers in parallel, filters unavailable or off-topic products, and ranks the best matching products.
• Implemented parallel crawling, LLM-driven product ranking, live progress streaming, persistent sessions, and multi-channel delivery through a shared FastAPI backend.

Enterprise RAG System with MCP Agents | RAG / Agentic AI

Python, LangChain, Qdrant, FastAPI, Redis, GPT-4, Claude, MCP

• Built a production RAG platform for a 100K+ document enterprise corpus with citation-grounded answers and hybrid retrieval.
• Implemented MCP-based agents capable of multi-step reasoning and tool use beyond traditional document retrieval.
• Added caching, validation, retrieval-quality monitoring, and optimized search pipelines, achieving 94% retrieval accuracy and approximately 70% faster search.

TrendGen: AI Trend Intelligence Platform | ML / NLP

Python, FastAPI, BERTopic, Sentence Transformers, MongoDB, Qdrant, OpenAI, React, TypeScript, Azure

• Built an end-to-end trend intelligence platform processing 100K+ social posts per run using embeddings, BERTopic clustering, LLM-assisted trend naming, and trend scoring.
• Developed emerging-signal forecasting using Qdrant vector search and DTW time-series matching, achieving a 74% emerging-signal hit rate with approximately 17 days average forecast lead time.
• Built asynchronous ML workflows, model versioning, scheduled pipelines, and a real-time React administration console for trend generation, monitoring, and analysis.

AI Voice Agent & Booking Automation | Conversational AI

VAPI, OpenAI, Twilio, FastAPI, n8n, Airtable, Next.js

• Built an always-on conversational booking system handling phone, SMS, and web interactions.
• Implemented real-time availability checks, stateful booking flows, Airtable synchronization, and human handoff for edge cases.
• Optimized conversational turn-taking and backend orchestration for responsive interactions with sub-500ms response latency.