6+ Years of Experience in AI/ML Engineering, specializing in Agentic AI, LLMs, and Production ML Systems

I build intelligent systems that solve real-world problems—from agentic workflows to computer vision solutions. Currently pushing the boundaries of Agentic AI, I have built scalable agents for enterprises, working on real-world projects that have a social impact.

• Agentic AI & LLMs: LangGraph agents, RAG systems, multi-agent orchestration
• Machine Learning: Deep Learning (PyTorch, TensorFlow), Computer Vision (OpenCV), NLP
• Backend Engineering: FastAPI, Django, Flask, Node.js/Express
• MLOps & Infrastructure: Docker, AWS, CI/CD pipelines, Model deployment
• Data Engineering: ETL pipelines, Big Data (Hadoop), Real-time processing

Automatically generate Postman collections from FastAPI applications. Streamlines API documentation and testing workflows.

High-accuracy speech recognition deployment on Hugging Face. Features word-level timestamps and speaker diarization.

LangGraph-powered agentic system for intelligent game strategy and decision-making. Demonstrates advanced multi-agent coordination and reasoning.

Heuristic Accurate Noise-resistant RAG system for multi-hop question answering. Implementation inspired by Ant Group's research paper, featuring advanced reasoning across multiple documents with noise-resistant retrieval.

I'm passionate about building AI systems that make a real impact. Whether you're looking for expertise in Agentic AI, LLM applications, or production ML systems, let's talk!

📧 Email: ashhadahsan@gmail.com

💡 Open to exciting opportunities in AI/ML Engineering, particularly in Agentic AI and LLM applications