Mohit Kourav

About Mohit Kourav

I’m an ML Engineer specializing in multimodal systems, LLM workflows, efficient inference, and generative model engineering. My work spans building large-scale search systems, designing agentic pipelines, and optimizing model performance for production environments.I have hands-on experience with:• Multimodal retrieval models (vision–text encoders, cross-encoders, rerankers)• LLM & RAG pipelines for semantic search and reasoning• Diffusion and transformer-based generation models• Inference acceleration using FlashAttention, quantization, efficient attention, and PyTorch 2.x• Production deployment using vector databases, CI/CD, cloud GPU stacks, and monitoring toolsI enjoy translating research into scalable systems — particularly in areas like LLM inference optimization, multimodal learning, diffusion models, and agentic automation.Open to roles in LLM engineering, Applied Scientist, Multimodal AI, and GenAI product teams.

Experience

1. Ml Engineer 1

   Monotype

   Jul 2024 — Present · New Delhi, IN

   Improved multimodal retrieval performance using advanced vision–text encoders and reranking architectures.• Designed agentic pipelines for ranking, quality monitoring, and retrieval stability.• Worked on generative vision models (diffusion/transformer-based) to automate high-volume creative tasks.• Developed custom transformer-based architectures for style transfer and visual synthesis.• Fine-tuned and deployed high-resolution image–text generation models using efficient training/inference techniques.

Education

• ABV-Indian Institute of Information Technology and Management

  Bachelor of Technology - BTech and Masters of Technology - MTech, Information Technology

  2019 — 2024