An R&D lab that builds, breaks & ships deep-tech.
We're a small, senior team of AI, IoT, robotics and embedded engineers building products that have to work in the real world — on factory floors, in fields, in the sky, and on customer dashboards.
Started in a lab. Stayed in a lab.
TechieYan began in 2014 as a hands-on R&D lab in Hyderabad — the kind of place where soldering irons, oscilloscopes and GPUs share a desk. Ten years on, we still build that way: prototype first, opinion later.
Turn research into reliable products.
We exist to compress the gap between a working demo and a deployed product. AI models that hold up under real data. IoT devices that survive real environments. Robots that run on Monday morning, not just in a sales deck.
Senior engineers. Honest scope.
No juniors disguised as seniors. No agency middlemen. The person who designs your system is the person who writes the firmware, tunes the model, and signs the commit at 2am when something breaks.
The non-negotiables that shape every project.
We've kept these short on purpose — if it can't fit on a sticky note, it isn't a value.
Senior engineers only
The person on your call is the person on your codebase. No hand-offs, no junior surprise.
Tested in the field
Lab-perfect isn't enough. We validate on the floor, in the rain, under load.
Source-open delivery
You own the code, the schematics, the weights. We hand over keys, not black boxes.
Honest scope & timelines
We'd rather say "two more weeks" than ship something brittle. No surprise invoices.
The two people who started it — and still run it.
Co-founders, hands-on operators, and the people who'll be on your first call.
Builds the labs and ships the products. A decade of training engineers on robotics, machine learning, AI, IoT, drones and 3D-printing — turned into a working R&D practice. Has led critical projects across engineering, IT and manufacturing teams where the brief was always the same: make it work in production.
Runs finance, marketing and operations — the connective tissue that turns a chaotic R&D pipeline into clean delivery and cleaner books. Background in management and marketing, with a sharp eye for partner relationships, project economics, and making sure the right invoice reaches the right inbox at the right time.
The engineers who actually do the work.
Generalists by training, specialists by stack — the people who turn a brief into a working build.
Pavan Tripathi
Builds models that read, write and reason — from classical ML to modern LLM stacks.
Lekhansh Rana
Closes the loop between sensor and cloud — firmware, protocols, dashboards.
Syed Waseem
Turns messy real-world data into clean signals, sharp models and shareable dashboards.
Sai Chandan
Signal processing, simulation and Simulink wizardry — with the math to back it up.
Abhinay Lingala
Trains, tunes and deploys production models — with the eval harnesses to keep them honest.
Santhosh Kumar
Makes sure the right people find us — SEO, content, campaigns and a healthy funnel.
A four-stage process from idea to deployment.
Short cycles. Working software at every step. No surprise invoices.
Discover
Whiteboard sessions, requirements, risks & success metrics. A sized, fixed-scope statement.
Prototype
2-4 week sprint to a working proof of concept — hardware-in-the-loop where it matters.
Engineer
Productionise the stack — tests, telemetry, CI/CD, security & documentation.
Deploy & Support
Roll out to the field, monitor, iterate & hand over with full code & runbooks.