AI Developer & Machine Learning Engineer
Building Production LLM Applications • Agentic AI • RAG Systems
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AI Developer specializing in LLM applications, Agentic AI systems, and RAG architectures.
Currently building production-ready AI solutions at InterCraft, focusing on intelligent automation and real-time AI agents.
- 🔥 Currently Working On: Agentic RAG systems, Real-time AI agents with LiveKit, Local LLM deployment
- 🌱 Learning: AWS AI Services (SageMaker, Bedrock), Cloud deployment
- 🎓 BSCS (CGPA 3.87) — Arid Agriculture University Rawalpindi
- 💡 Passionate About: Building scalable AI systems that solve real-world problems
Languages & Frameworks
AI/ML & LLM Tools
Cloud & DevOps
Core Skills
RAG Systems • Agentic AI • Prompt Engineering • NLP • Computer Vision • Real-time AI (LiveKit) • Local LLM Deployment
Autonomous coding agent automating code modifications and analysis using Google ADK and LangGraph.
Tech: RAG-based retrieval, multi-agent orchestration, automated testing, semantic embeddings
Vision-enabled AI agent with real-time video interactions, TTS/STT capabilities using LiveKit.
Tech: LiveKit, Computer Vision, Conversational AI
Intelligent assistant for semantic search across Quran, Hadith, and Fatwa sources.
Tech: Google ADK, LangChain, HuggingFace, FastAPI, Streamlit, Docker
CNN-based medical image classification achieving 99.15% accuracy using DenseNet201.
Tech: TensorFlow, Keras, Deep Learning, Computer Vision
Predictive model with 97% accuracy for early diabetes detection.
Tech: Scikit-learn, Data Preprocessing, Classification Algorithms
- Building Agentic RAG architectures for autonomous AI systems
- Deploying production AI solutions on AWS (EC2, S3, Lambda, SageMaker)
- Exploring multi-agent collaboration and context engineering
- Contributing to open-source AI/ML projects
"Building intelligent systems that create measurable impact."
⭐️ From MuhammadSamarShehzad