AMIR Janjan

Developed LLM agents for autonomous planning and reasoning, and built a quantitative finance multi-agent system for financial research and analysis. Designed agent orchestration and collaborative reasoning workflows.

Developed Python-based fingerprint matching algorithms for identity verification, built and deployed an e-commerce platform using Django and PostgreSQL, and created an AI coaching web app with LangChain and Django. Also developed Travel-Planner-X, an LLM travel planner using OpenStreetMap and budget estimation.

Optimized neural network inference using TensorRT on NVIDIA Jetson, accelerating object detection and face recognition by 70%. Engineered a robotic system integrating mechanical, electronic, and AI components, improving autonomous navigation precision by 10%. Developed AI agents and LLM pipelines for research prototypes.

Pursuing a Master of Science in Artificial Intelligence with a thesis on Multi-Agent Financial Quantitative Research Systems based on Large Language Models. Research areas include LLMs, multi-agent systems, generative AI, and quantitative finance.

Bachelor of Science in Electrical Engineering with a focus on Control Theory, Signal Processing, Embedded Systems, and Robotics. Developed a mobile-based tracking robot as a final year project.