Sameer Bhalerao

Now

What I'm focused on

A simple, honest snapshot of where my attention is. Last updated: October 2026.

Available

Looking for a Senior PM role in AI, data and decision systems, or an analytics leadership role, in Luxembourg or EU remote. Nine years of building data products at Amazon is the foundation; this year of hands-on AI building is the new layer.

Spending more time in person too: meeting founders, data and product people across Luxembourg's startup and tech scene.

I'm being deliberate about what I take on next. The right role needs meaningful scope, not just a title.

Building

The main focus is Disha Analytics — restaurant intelligence that turns public data into a structured report through an eight-agent LLM pipeline. One pilot report has been walked through with a restaurant owner in New Delhi. Next is running a full cycle with a restaurant and closing the loop: which recommendations they act on, and what changes.

Vyoman — an aerial-photography venture. The infrastructure is built: portfolio site and print store (Stripe + Gelato print-on-demand), a Django ops console on Railway, and Vantage (vantage.vyomanaerials.com), an LLM mission intelligence tool built in 3 days. Commercial launch is pending business registration.

Also on the bench: ReasonTrail — an AML/KYC review workflow prototype for Luxembourg (four-eyes approval, immutable audit trail, CSSF-format export) with a password-gated demo at reasontrail.vercel.app and an AI drafting layer designed next. Soul Spark — a multi-agent personal intelligence system with all inference on-device (soulspark.me). Narrate — an audiobook tool (Next.js 15 + OpenAI TTS + Cloudflare R2) that I use every day.

Exploring

Local-first LLM architectures and privacy-preserving data systems
How LLMs can improve decision quality rather than just answer volume
The design patterns that separate useful LLM-powered tools from impressive demos
What a senior analytics function looks like when LLMs are a first-class inference layer, not an add-on

Not doing

Rushing into the wrong role — I'd rather wait for the right one
Building for novelty — each project has to solve a real problem
Chasing every AI trend — focused on useful systems over impressive demos