Hello, I'm
Asadullah Khan
AI Engineer & Python Developer
Building intelligent systems with RAG, LLMs, and scalable microservices. Delivered solutions handling millions of records for World Bank funded projects and national-scale integrations.
About Me
I'm a passionate AI Engineer and Python Developer specializing in building intelligent systems that solve real-world problems at scale.
My expertise spans RAG-based AI assistants, real-time voice AI systems, and high-performance microservices. I've had the privilege of working on World Bank funded projects, building APIs that integrate with NADRA and Microfinance banks for payment processing.
Currently pursuing my BS in Information Technology while actively building enterprise-grade solutions that handle millions of records and serve thousands of users daily.
Years Experience
Projects Delivered
Professionals Trained
Technical Skills
Backend Development
AI & Machine Learning
Voice AI & Chatbots
Databases
Cloud & DevOps
Messaging Systems
Work Experience
Software Engineer
- •Built high-performance microservices using FastAPI with async/await, handling millions of records with JWT auth, Redis caching, and RabbitMQ
- •Designed RAG-based AI learning assistant achieving 40% improvement in query resolution accuracy
- •Engineered GPT-powered SQL chatbot enabling non-technical staff to generate insights 60% faster
- •Optimized MySQL queries and indexing, improving system performance by 40%
AI/Backend Engineer
- •Architected scalable FastAPI backend for Voice AI SaaS platform supporting real-time inbound/outbound calling with WebSocket integration
- •Deployed and fine-tuned LLMs (Llama, Mistral) for conversational AI, achieving sub-200ms response latency
- •Implemented self-hosted TTS/STT pipelines reducing cloud dependency costs by 70%
- •Built multi-tenant architecture handling concurrent voice sessions with Redis-based queue management
- •Integrated telephony APIs (Twilio, VoIP) for seamless call routing and real-time transcription
AI Trainer
- •Delivered 'AI in Finance' course training 30+ professionals on Python, NLP, and ML fundamentals
- •Developed hands-on labs for RAG, embeddings, text classification, and automation
Education
Bachelor of Science in Information Technology
FYP: Built a LiveKit-powered Robotics Teaching Assistant using RAG, STT & TTS, achieving 85%+ response accuracy and 90% retrieval precision
Featured Projects
Enterprise-grade solutions handling millions of records, national-scale integrations, and AI-powered systems that deliver real business value.
World Bank Funded - SSPA System
Developed high-performance microservices handling millions of records for Social Safety Program. Built scalable backend with JWT authentication, Redis caching, and RabbitMQ for async task processing.
NADRA & Microfinance Payment APIs
Engineered secure payment APIs integrating with NADRA verification systems and multiple Microfinance banks, enabling seamless digital transactions at national scale.
Agentify - AI Calling Platform
Built real-time AI calling backend using FastAPI, LiveKit, custom STT/TTS, and async microservices. Automated workflow execution with optimized routing to reduce call-handling latency.
EH-GPT - AI Learning Assistant
Designed and deployed RAG-based AI assistant for high-school curriculum support. Improved accurate query resolution by 40%, reducing manual teacher support significantly.
Oraaq Admin Portal - SQL Chatbot
Engineered GPT-powered SQL chatbot using LangChain to translate English queries into optimized SQL. Empowered non-technical staff to generate insights 60% faster.
Robotics Teaching Assistant
Final Year Project: LiveKit-powered voice assistant using RAG, STT & TTS. Achieved 85%+ response accuracy and 90% retrieval precision with multi-turn dialog management.
Frequently Asked Questions
Let's Connect
Have a project in mind or want to discuss AI solutions? I'd love to hear from you.