Biography

Mohit Goyal is a full-stack AI engineer and researcher with hands-on experience across deep learning, agentic systems, and production-ready applications. He has built and deployed end-to-end systems using PyTorch, Transformers, RAG pipelines, FastAPI, React/Next.js, and cloud platforms, with a strong focus on practical impact over demos. Mohit has contributed to open-source projects, authored an international conference paper, and completed multiple internships spanning research and applied AI engineering. He has implemented core architectures including Transformers, VAEs, ViTs, and LLM-based agents from scratch, and regularly competes in hackathons, securing multiple wins and national-level finalist positions. Currently, he is focused on building scalable, deployment-grade agentic AI systems with proper LLMOps, while deepening his research rigor and systems thinking.