Vishwas Sharma · Specialist Data & AI

I didn't study industrial AI. I shipped it.

Textron Chairman's Award for Innovation — Finalist 2024Kautex Innovation Award 2024 — Winner
Vishwas Sharma, founder

The journey

  1. 2013

    Assistant Manager — Vedanta Ltd., Odisha

    Started where most readers of this page are standing right now: an Indian engineering degree and no idea what the industry actually wanted. Commissioning and startup of a green anode plant, electrical and instrumentation. Heavy industry first, software later — which is why the projects here start from a physical problem.

  2. 2015

    Electronics instructor — technical training institute, Bikaner

    Led curriculum design and instructor training. First proof that the bottleneck in Indian technical education is not talent; it is what students are asked to build.

  3. 2019

    Research Assistant — Fraunhofer FKIE, Wachtberg

    Developed a CUDA-based unsupervised weightless neural network for video background adaptation — the work that became the BEWiS case in the showcase.

  4. 2021

    Data Science Student — German Aerospace Center (DLR), Köln

    Built an anomaly detection and Explainable AI system for satellite telemetry, aimed at catching the failure precursors that lead to loss of orbit.

  5. 2022

    M.Sc. Autonomous Systems, Bonn-Aachen International Center for Information Technology (b-it)

    Robotics & AI. Trained in the German research-institute way of working: real problems, rigorous validation, systems that ship.

  6. 2022

    Specialist Data & AI — global Tier-1 automotive manufacturer, Bonn

    Established and led an AI team for global OEM projects: 3D generative AI for shape optimisation, a vision system for quality control, active learning to cut the number of physical experiments, and the design–material–process work that became the Physical AI Platform.

  7. 2024

    Kautex Innovation Award · Textron Chairman’s Award finalist

    Personal awards for the innovation work, alongside leading the digitalisation initiative for strategic business reviews and presenting to C-suite executives.

  8. 2026

    The Industry-Incubator, Jaipur

    Home, with one conviction: the way German institutes build engineers can be built here — real problems, small cohorts, public proof.

Why I refuse to teach AI the way EdTech sells it.

AI's real value isn't in its ability to predict — it's in how it drives faster, smarter, and more consistent decisions.

So apprentices are never graded on model accuracy alone. Every project must end in a decision a real engineer or operator can act on — that is the bar the lab holds work to.

A well-generalized model with 70% accuracy that works in the real world is infinitely more valuable than a 98% accurate model that can’t be used.

That is why the lab ships deployed systems, not notebooks. Apprentices learn the unglamorous parts — data quality, validation, serving, monitoring — because that is where industrial AI lives or dies.

The question isn't what AI can do — it's what critical decisions we need it to support.

Every cohort project starts from an industrial decision that matters, not from a technique looking for a use case. The problem statement comes first; the syllabus is whatever it takes to solve it.

What I will not promise you.

I won't promise a guaranteed job. I won't show you fake placement percentages. I promise real problems, German-research-grade mentorship, and a portfolio that speaks in interviews. What you do with it is yours.