Harsh
Tripathi

Working on machine translation systems with a focus on Hindi, Chinese, and Burmese. Aiming to build locally deployable, high-accuracy translation models. Evaluating tools like Google Translate, Argos Translate, LibreTranslate, MarianMT with BLEU score analysis.

Developing and training YOLO models for a real-time railway alert system using drone-based imagery. Optimizing deep learning models for efficient deployment on edge hardware, specifically the NVIDIA Jetson Nano Orin. Responsible for the end-to-end software pipeline, from model development to on-device implementation.

Built a real-time algorithmic trading platform using PPO-based Reinforcement Learning. Designed a streaming data pipeline using Pathway and Redis Streams. Implemented multi-agent LLM reasoning with Bull vs Bear agent debates. Achieved 22.3% return and ranked 12th among 23 IITs.