Nithin Varghese
@nithinvarghese
Senior AI Engineer building production computer vision and generative AI with multi-agent LLM systems.
What I'm looking for
I’m an AI Engineer with 7+ years of experience building and deploying production computer vision and machine learning systems at scale, including 3+ years leading engineering teams as Head of Computer Vision.
I’ve delivered video analytics platforms across mining, energy, banking, and retail—scaling to 10,000+ cameras—and I’m known for hardware-aware model optimization for edge-first, real-time inference using TensorRT, OpenVINO, and TFLite.
Now I’m building generative AI products end to end as founder of an AI product studio—creating multi-agent LLM systems, RAG pipelines, and LLM fine-tuning—while shipping products like LatentStory and FlowWriter.
Experience
Work history, roles, and key accomplishments
Founder & AI Engineer
Vnm Technologies Llp
Dec 2024 - Present (1 year 7 months)
Founded an AI product studio and owned the full lifecycle for generative AI applications, from product design through ML engineering, deployment, and operations. Built a multi-agent storybook generation system using LangGraph and a voice-first ideation tool using LLM agents.
Head of Computer Vision
Deepsight Ai Labs
Feb 2021 - May 2024 (3 years 3 months)
Led end-to-end delivery of multi-site computer vision systems across mining, energy, banking, and retail, including scoping, architecture, model operations, and on-site rollout. Scaled real-time video analytics and deployed safety- and security-critical use cases such as PPE compliance, intrusion detection, and person-under-steel roll safety detection.
Computer Vision Engineer
Deepsight Ai Labs
Sep 2018 - Feb 2021 (2 years 5 months)
Created and deployed a camera tamper detection algorithm for production surveillance systems. Trained and deployed deep learning models for masked-face and helmet detection and for crowd detection in safety and security analytics.
Machine Learning Engineer (Freelance)
Self Employed
May 2018 - Aug 2018 (3 months)
Built a receipt information extraction system that used YOLOv3 for field detection and an OCR pipeline to output structured CSV data from receipt images.
Education
Degrees, certifications, and relevant coursework
Cochin University of Science and Technology (CUSAT)
Bachelor of Technology (B.Tech), Information Technology
Completed a B.Tech in Information Technology at the School of Engineering, Cochin University of Science and Technology (CUSAT) in 2018.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
humandotlearning.github.ioPortfolio
latentstory.comJob categories
Skills
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