I build dependable AI products, from infrastructure to interface.
I'm Sarthak Agrawal, an AI infrastructure and product engineer. I turn model capabilities into systems people can trust: local code review, post-training tools, private assistants, research signals, and the operating layer behind them.
// current focus
Five products, one through-line.
Each explores the same question from a different angle: how do useful AI systems become more private, legible, and dependable?
CodeVetter
Desktop-first AI code review workbench. Local SQLite, Tauri shell, evidence-backed review loops for agent-generated code.
view project →PostTrainLLM
Post-training and model-learning workspace built around small local language models.
view project →Pace
Local-only macOS menu-bar voice agent for screen-aware personal workflows.
view project →High Signal
Evidence-first signal log supported by focused research and ratings data.
view project →SaaS Maker
Product platform and operating layer supported by focused infrastructure tools.
view project →// selected work
A few things I've built.
Four projects from my day jobs — what the problem was, what I built, and what changed.
PostTrainLLM — a transformer built end to end
pytorch · webassembly · webgpu · browser
A small GPT (~0.8M params, byte-level) written from scratch in three layers — a PyTorch reference, a hand-derived C++/WASM implementation, and a full WebGPU training loop — running entirely in a browser tab. Every layer's backward pass was finite-difference checked before being trusted.
Vector-Powered Personalized Feeds
embeddings · vector search · ranking
A home feed that actually learns what you like. Content gets embedded with BERT, ranked by similarity in Milvus, and the user vector keeps updating from live events. Engagement went up 40%.
Real-Time Market Data Pipeline
streaming · protobuf · fan-out
The streaming backbone of a fintech social app. Go services push live market data through Kafka to clients in real time — and it held up while daily users went from 15k to 200k.
RAG Agents for Support & Learning
retrieval · openai · moderation
A set of RAG chatbots — support, learning, assistant — built on OpenAI APIs and grounded in real product docs. The support one cut human replies by 90%.
Durable Financial Workflows
temporal · reliability · go
Financial planning can't run on workflows that quietly break. Moving them to Temporal killed 90% of the random failures and gave the team back about three hours a day.