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Sanchit Bhalla / AI engineer

I build AI that still works after the demo.

LLM features, RAG systems, and agents with real tools, taken from prototype to production by someone who also owns the backend, the pipeline, and the server they run on.

What I build

AI inside real products.

How I work

Every step is one you can inspect.

An example of how I structure an agent run, so you can see what it did, why, and where a person stays in control.

  1. 01 REQUEST Turn last week's client calls into a task list
  2. 02 PLAN Needs the call notes, then a write to the task system
  3. 03 RETRIEVE Hybrid search over notes, rerank, keep the best matches
  4. 04 CALL TOOL create_tasks(items, owner, due_date)
  5. 05 VALIDATE Check arguments against the schema, retry once on failure
  6. 06 REVIEW Pause for approval before anything is written
  7. 07 RESPOND Summary with citations back to each source note
  8. 08 LOG Save the trace, add the run to the eval set

Projects

What I've shipped.

Two AI products and a Rust networking tool, all live right now.

01 / LLM product

Note Me Please

An AI notes organizer for solo creators. Its assistant, Cortex AI, works on the page you are writing: it summarizes, expands, rewrites, and turns rough notes into tags, tasks, and drafts, with AI usage metered per plan.

Cortex AI / LLM Features / Search / Tasks / Sharing

Note Me Please preview

02 / Generative AI product

MyContent

An AI creative engine that generates product visuals, videos, and captions tailored to a brand, built for content and product marketing workflows.

Image Generation / Video / Captions / Brand Assets

MyContent preview

03 / Systems / Rust

Yoop

A very fast peer-to-peer CLI for local network file transfers and clipboard sync. Simple 4-character codes, TLS 1.3, and resumable transfers, with no cloud uploads or accounts.

Rust / P2P / TLS 1.3 / mDNS / Open Source

Yoop preview

Experience

Where I've worked.

  1. Jan. 2025 - Present

    Fullstack Developer, Ebslon Infotech

    Developed ERP systems end to end. Managed DevOps, CI/CD pipelines (Jenkins, GitHub Actions), and VPS infrastructure (Hetzner, Contabo). Implemented real-time features with WebSockets and Redis caching.

  2. Nov. 2021 - Jan. 2022

    Frontend Intern, Bestor

    Designed and improved UI/UX of websites in Shopify. Collaborated with developers and SEO team to enhance user experience and site performance.

Stack

What I work with.

Model APIs
OpenAI, Anthropic, Gemini
Orchestration
Vercel AI SDK, LangChain, LangGraph
Agents
Tool calling, MCP, Structured output
Retrieval
Embeddings, pgvector, Pinecone, Hybrid search, Reranking
Quality
Evals, Tracing, Guardrails, Prompt caching
Languages
TypeScript, Python, Rust, Go
Data and real-time
PostgreSQL, Redis, WebSockets
Infrastructure
GitHub Actions, Jenkins, Hetzner, Contabo

About

A model is the easy part. I care about everything around it: the data it sees, the tools it can touch, how you find out when it gets worse, and an interface people actually trust. Coming from full-stack and infrastructure work, I build all of that myself.

An illustration of a man, representing Sanchit Bhalla, saying hello by waving a hand

Contact

Have an AI feature in mind?

If you have a product, a role, or a hard problem, tell me about it.

Or email me at [email protected]