I build AI systems that move from model to product.
I'm Om Javia, an AI Product Engineer focused on computer vision, LLM applications, and product execution. My work sits where models meet messy user behavior, real latency constraints, and business decisions.
Currently building at Metashot
Real-time sports AI, product feedback systems, and player-facing intelligence.
87.4%
rover navigation efficiency improvement
185+
players used for product feedback loops
7K+
users supported through ML endpoints
9.0
B.Tech CGPA in Computer Science
How I create value
I connect research, engineering, and product judgment.
The strongest portfolios now prove decision-making quickly: what problem was owned, what shipped, and how tradeoffs were handled. That is the signal I want this page to communicate.
Computer Vision
Real-time detection, segmentation, model optimization, and gameplay-aware CV systems.
LLM & RAG Systems
Document intelligence, retrieval workflows, prompt engineering, and practical AI utilities.
Product Execution
Turning user feedback into PRDs, roadmaps, shipped features, and measurable iteration.
AI Deployment
FastAPI services, CI/CD workflows, Dockerized systems, and production-ready ML delivery.
Experience arc
From space research to sports AI products.
My path has moved through research datasets, ML APIs, real-time vision, and product leadership. The common thread is building systems that survive contact with real users.
2025 - Present
AI Product Engineer, Metashot
Leading AI product execution across engineering, UX, product feedback, and go-to-market loops.
2025
AI Engineer, Metashot
Improved real-time cricket shot detection, retention models, and low-latency vision pipelines.
2024 - 2025
Associate AI Engineer, Apoliums
Built data pipelines, ML prediction APIs, and deployment workflows for production products.
2024
R&D Intern, ISRO
Worked on terrain understanding and obstacle-aware rover path planning with satellite imagery.
Available for focused collaborations