Rishi Chhabra — AI Researcher

AI & Machine Learning Engineer with an M.Tech in Computer Science from IIT Jodhpur. My work spans Reinforcement Learning, Generative AI, Multimodal Learning, and Intelligent Decision Systems. As part of a DRDO-funded research project, I developed 2D and 3D war-game simulators, controller mechanisms for autonomous underwater vehicles, and reinforcement learning frameworks for autonomous naval and underwater defense systems. My M.Tech thesis progressed from single-agent learning to multi-agent reinforcement learning, culminating in communication-delay-aware coordination strategies for autonomous agents operating in realistic underwater environments. Beyond reinforcement learning, I have built Retrieval-Augmented Generation (RAG) systems, multimodal AI pipelines, and generative models. I secured a Top-14 rank in the Amazon ML Challenge 2025 by developing a multimodal price estimation system using CLIP/SigLIP embeddings across 75,000+ products. Previously, as a Research Intern at VNIT Nagpur, I worked on financial-market reinforcement learning, leading to a Springer-published research contribution on GRU-enhanced Deep Q-Networks with interpretability analysis. Passionate about building scalable, explainable, and deployable AI systems that bridge research and real-world impact. Skills: PyTorch • TorchRL • TensorFlow • Reinforcement Learning • Generative AI • Multimodal AI • NLP • Computer Vision • C++ • Deep Learning

Stackforce AI infers this person is a Fintech and AI-focused Machine Learning Engineer with strong reinforcement learning expertise.

Location: Nagpur, Maharashtra, India

Experience: 1 yr