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I build intelligent, multi-agent systems and robust AI applications designed for real-world impact. My focus is on LLM orchestration, AI safety, and scalable machine learning pipelines.

• 🌱 I’m currently exploring Advanced Agentic Patterns & Semantic Routing
• 💬 Ask me about LLM Integrations, Python, and Multi-Agent Architectures
• 🤝 Open to collaborations on Open-Source AI & Healthcare AI Solutions

Multi-Agent Healthcare System featuring specialized agents (Medical Reasoner, Safety Guard, Intake Parser).

• Core Innovation: Engineered for Zero False Negatives clinical safety using Chain-of-Thought reasoning.
• Tech Stack: LLMs, Multi-Agent Architecture, Prompt Engineering.

AI Output Anomaly Detector & Learning System that improves AI responses via Human Feedback.

• Core Innovation: Features a Semantic Learning Loop and real-time A/B comparison for continuous model refinement.
• Tech Stack: LLM Intent Classification, Semantic Routing.

End-to-End ML Pipeline identifying Indo-Pakistani food from images with dynamic recipe generation.

• Core Innovation: Automated data processing and model versioning.
• Tech Stack: TensorFlow, MLflow, Apache Airflow, MongoDB, Docker.

Driven by curiosity, building AI for the real world.