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Abhinav SaiAS
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Abhinav Sai

@abhinavsai

AI engineer at Quash building mobile-QA agents, GPU-resident RL environments, and a Pokémon TCG agent for Kaggle.

India
Message

At Quash, I built the MCP server that lets coding agents drive mobile QA runs, and shipped self-healing test scripts and a document-to-test-case generator that became a product feature. I also redesigned the MongoDB v2 schema and built a load-test harness reporting p50 and p99 latency per module.

I'm building metal-rl-envs, a GPU-resident reinforcement-learning environment engine for Apple Silicon, with hand-written Metal kernels and algorithms including PPO, DQN, and Evolution Strategies. I'm also developing a Pokémon TCG agent for Kaggle using imitation learning, PPO self-play, and decision-time search, and I built a multi-agent coding workflow with specialist subagents and independent reviews.

Experience

Work history, roles, and key accomplishments

QU
Current

AI Engineer

Quash

Sep 2025 - Present (1 year 1 month)

Own whole subsystems alone on an AI mobile-QA agent platform. Built the Quash MCP server, shipped self-healing record/replay, and redesigned the MongoDB schema.

IB

Research Intern

IIT Bhubaneswar

Jun 2024 - Aug 2024 (2 months)

Trained an ML classification model that detects glaucoma from retinal fundus images.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Bhubaneswar logoIB

Indian Institute of Technology Bhubaneswar

B.Tech, Electrical Engineering

Graduated in 2025 with a B.Tech in Electrical Engineering, with coursework in machine learning, deep learning, computer vision, and NLP.

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