Summary
Varun Prakash is a data scientist with four years of hands-on experience applying deep learning and ML to real-world problems, currently based in New Delhi and working at S&P Global. He has practical expertise fine-tuning diffusion models (DDPM, Stable Diffusion) and LLMs (Llama, Mistral) and has built RAG pipelines, semantic search, and super-resolution models in production settings. Varun’s background blends classical software engineering with research-oriented model work—he’s implemented DreamBooth, LoRA/QLoRA strategies, contrastive training for semantic search, and efficiency optimizations that reduced compute and sped up inference. Early freelance and internship projects, including music note prediction research, reflect a long-standing curiosity about how systems learn and generalize. Colleagues describe him as a developer who moves smoothly between model prototyping and deployable engineering solutions.
4 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Manav Rachna University
English, Hindi