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 TEKNOLOGIES | Ottawa, Canada (Remote)

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

• Designed and deployed scalable web scraping & data ingestion pipelines processing 10M+ records/month across multiple e-commerce platforms (Talabat, Carrefour); implemented crawlers, service-to-service authentication, and fault-tolerant workflows achieving 99.5% uptime.
• Built LLM-powered AI shopping assistant using LangChain, enabling dynamic tool orchestration with OpenAI/OpenRouter APIs; implemented concurrent session handling (1000+ users), memory persistence, and TTL-based cleanup, improving user decision efficiency by 40%.
• Developed cross-platform React Native (Expo) mobile application with OAuth (Google, Facebook, Microsoft), secure token management, and real-time backend integration; implemented RBAC, session lifecycle management, and seamless navigation for production-ready iOS & Android deployment.
• Engineered WhatsApp AI chatbot (Twilio + FastAPI) with stateful conversation flows, webhook processing, and location-aware queries; built backend orchestration layer to route user intents to microservices and stream responses with <500ms latency.

STECHAI | Lahore, Pakistan

AI / ML Engineer | July 2025 – Present

• Built production-grade RAG systems using LangChain, Qdrant, and GPT-4, enabling context-aware document Q&A across 100K+ enterprise documents, reducing retrieval time by 70% with 94% accuracy.
• Designed and deployed end-to-end ML pipelines for predictive analytics using ensemble models (XGBoost, Random Forest, Neural Networks), achieving 88% accuracy; exposed models via FastAPI, serving 10K+ daily predictions.
• Developed trend prediction systems using BERTopic and NLP pipelines to analyze social media creators and content trends (historical, real-time, and forecasting); leveraged MongoDB for scalable data storage and retrieval.
• Orchestrated scalable data workflows using Prefect, automating ETL pipelines with Python to reduce preprocessing time by 40% through parallel processing, validation layers, and integration with MongoDB and Azure Storage.
• Built interactive ML dashboards (React) for real-time monitoring of model performance, data drift, and business KPIs, enabling data-driven decisions with automated alerting.

FREELANCE AI ENGINEER | Remote

Independent AI Consultant | Mar 2025 – Present

• Designed and deployed AI voice agents and omnichannel booking automation systems using VAPI, OpenAI, Twilio, and n8n, enabling 24/7 conversational interactions and automated scheduling for service-based businesses.
• Built intelligent document processing systems leveraging RAG architectures and Model Context Protocol (MCP) for autonomous agent workflows, improving operational efficiency by 85% through automated data extraction and validation.
• Developed AI-driven analytics platforms for government and enterprise use cases, enabling natural language querying, automated reporting, and trend analysis to convert large-scale data into actionable insights.
• Delivered end-to-end AI solutions including recommendation systems, chatbots, data extraction pipelines, and workflow automation, serving clients across service industries, public sector, and social media analytics.

AI Shopping Assistant (Multi-Agent System)

Python, FastAPI, LangChain, GPT-4, React Native, PostgreSQL

• Built LLM-powered shopping assistant with multi-agent orchestration for product search, comparison, and personalized recommendations.
• Implemented RAG pipeline (Qdrant) for semantic search across large-scale product data with real-time filtering.
• Orchestrated autonomous agents for price tracking, review analysis, and availability checks with parallel execution.
• Developed full-stack system integrating FastAPI backend and React frontend with live data pipelines.

Enterprise RAG System with MCP Agents

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

• Developed enterprise RAG system for 100K+ documents with 94% retrieval accuracy using hybrid search.
• Implemented MCP-based autonomous agents for multi-step reasoning and persistent context handling.
• Integrated multi-LLM workflows for document extraction, classification, and report generation.
• Improved processing efficiency by 85% via optimized chunking and validation pipelines.

AI Voice Agent & Booking Automation

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

• Designed 24/7 AI voice agent for automated booking across phone, SMS, and web channels.
• Built workflow orchestration with n8n and Airtable CRM for seamless customer intake and scheduling.
• Enabled real-time conversational booking with webhook-based confirmations and multi-channel communication.
• Reduced manual workload while maintaining high-quality customer interactions.

AI Trend Prediction & Insights Platform

Python, FastAPI, MongoDB, OpenAI, React, TypeScript

• Built trend prediction platform using NLP pipelines for social media and creator data analysis.
• Implemented automated classification, sentiment analysis, and trend forecasting using LLMs.
• Designed scalable backend with MongoDB and ETL pipelines for real-time analytics.
• Delivered dashboards for trend monitoring and actionable business insights.