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 problemsβfrom 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
π₯ fastapi2postman β 8
Automatically generate Postman collections from FastAPI applications. Streamlines API documentation and testing workflows.
ποΈ WhisperX Space β 25
High-accuracy speech recognition deployment on Hugging Face. Features word-level timestamps and speaker diarization.
π€ GameMind API
LangGraph-powered agentic system for intelligent game strategy and decision-making. Demonstrates advanced multi-agent coordination and reasoning.
π HanRAG
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!
π§ Email: ashhadahsan@gmail.com
π‘ Open to exciting opportunities in AI/ML Engineering, particularly in Agentic AI and LLM applications