AI Engineer — Bangalore, India

Hi, I'm

Sneh Sinha

Multimodal AI Autonomous Infrastructure Embedded Intelligence
(scroll)

An AI engineer from Bangalore, building at the intersection of intelligence, infrastructure, and the physical world.

// profile.ts interface Engineer {   name: "Sneh Sinha";   location: "Bangalore, India";   role: "AI Engineer";   vibe: "building"; }

I'm an AI engineer from Bangalore who builds systems at the intersection of artificial intelligence, robotics, and cloud infrastructure. I believe the most interesting problems live where software meets the physical world.

Currently exploring multimodal AI agents, computer vision on edge hardware, and autonomous cloud operations. I work with Python, Rust, C, and whatever else gets the job done.

When I'm not shipping code, you'll find me tinkering with ESP32-CAM modules, optimizing LLM inference pipelines, or reading about distributed systems.

Building in

Public

RoleAI Engineer
FocusMultimodal AI, Agents, Infra
StatusShipping
(01)
2026 — Present

Team Stratos

AI Engineer

Building multimodal AI agents and autonomous systems at the intersection of computer vision, LLMs, and cloud infrastructure.

(02)
2025 — Present

DeepOps

Creator & Lead Developer

AI-powered autonomous cloud operations platform. Natural language infrastructure management, anomaly detection, auto-remediation.

(03)
2025

Orchestra

Creator & Lead Developer

Production-grade multi-agent research orchestration with LangGraph, FastAPI, PostgreSQL, and Prometheus.

(04)
2025

PromptOS

Creator & Lead Developer

macOS desktop app — prompt compiler with multi-pass optimization, WASM plugins, local LLM inference via Metal GPU.

(05)
2025

ESP32-CAM Vision Suite

Embedded Systems Engineer

Three ESP32-CAM projects: ML dataset capture, real-time color tracking robot, 60 FPS MJPG streaming server.

(06)
2024 — Present

Open Source

Contributor

Active open source contributions. Building tools for the AI and developer community.

(01)

I believe the most interesting problems live where software meets the physical world.

Every project is an experiment in what happens when you ship fast and iterate relentlessly.

Tech &

Tools

Languages

PythonRustCJavaScriptTypeScript

AI & ML

LangChainLangGraphOpenAIAnthropicLlama.cppPyTorchComputer Vision

Backend & Infra

FastAPIPostgreSQLDockerPrometheusAWSLinux

Embedded & Edge

ESP32Raspberry PiArduinoC++

Tools & Platforms

GitDockerKubernetesGitHub ActionsSwiftUI
Languages5+
Frameworks12+
ExploringMultimodal Agents, Cloud, Edge
(02)

Full-stack AI engineer comfortable from embedded firmware to cloud orchestration.

The best tools are the ones that get out of your way when you're in flow.

What I've

Built

(01)

DeepOps

AI-powered autonomous cloud operations platform that behaves like an experienced SRE team. Deploys, monitors, detects anomalies, and repairs services automatically.

PythonLangGraphFastAPI
GitHub →
(02) 🔬

Orchestra

Production-grade AI research orchestration with 5 specialized LangGraph agents — search, extract, verify, synthesize, critique — producing verified reports with confidence scoring.

PythonLangGraphFastAPIPostgreSQLPrometheus
GitHub →
(03)

PromptOS

macOS desktop app that treats prompts as source code — compiles through a multi-pass optimization pipeline with WASM plugins, local LLM inference, and cloud provider support.

RustSwiftLlama.cppWASMMetal GPU
GitHub →
(04) 📷

ESP32-CAM Vision Suite

Three ESP32-CAM projects: web-based image capture for ML datasets, real-time color tracking robot, and full-featured MJPG video streaming server at 60 FPS.

CESP32Computer VisionHSV
GitHub →
(03)

Every project is open source. Code speaks louder than words.

Building in public means shipping fast, breaking things, and learning out loud.

GitHub

Pulse

Repos
Contributions
Languages
Followers
Stars
Contribution Graph

LeetCode

Profile

Total Solved
Global Rank
Easy
Medium
Hard
(01)

Competitive programming keeps my fundamentals strong. I solve DSA problems to stay sharp.

Thoughts &

Ideas

AI

Building a Multi-Agent Research Pipeline with LangGraph

How I built Orchestra — a production-grade research orchestration system with 5 specialized agents working in concert.

Read more →
Infrastructure

DeepOps: An Autonomous SRE Platform

Designing a cloud operations platform that deploys, monitors, and heals itself — inspired by how humans reason about incidents.

Read more →
Embedded

Computer Vision on ESP32-CAM: A Practical Guide

Real-time HSV tracking, MJPG streaming, and ML dataset collection on constrained hardware. What I learned building the Vision Suite.

Read more →
Bangalore, India Open to work
© 2026 Sneh Sinha v2
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