03 / Path
Where I have been
Current
MSc Advanced Semiconductor Nanotechnologies — OVGU Magdeburg
Device physics, fabrication and characterisation. The layer underneath everything I had built until then.
2025 — now
Co-founder & CTO — Klinn AI
Architecture and delivery for production platforms: a staff CRM, a multi-tenant business builder, and SEO landings for clients who needed to rank. Software that has to work on a Tuesday, not just in a deck.
2024 — 25
Associate AI Engineer — OSCOWL ai
Applied AI in a deep-tech lab working across speech models, UAVs and custom silicon. Research that had to survive contact with a product.
TiHAN
Research Intern — TiHAN — IIT Hyderabad
Bio-inspired flight: autonomous ornithopters, GPS-denied navigation, UWB and SLAM. Led to the Wiley chapter.
2022
Research Intern, Dept. of ECE — NIT Raipur
Signal processing and deep learning on EEG time-series for brain–computer interfaces — preprocessing and feature extraction in Python.
2020 — 24
B.Tech. Electronics & Communication Engineering — KL University
Devices, signals, and the first drones. The undergraduate that got me into the hardware underneath the software.
Most of the last two years went into shipping. Klinn AI is the company I co-founded to build production software for operations that cannot afford theatre — full-stack platforms and the SEO sites that feed them. Before that I was in Hyderabad's deep-tech pocket: bio-inspired drones at TiHAN, then applied AI at OSCOWL. The master's at OVGU is the layer I kept skipping — models and products are downstream of devices.
02 / Research
What I want to do next
I am looking for doctoral work at the boundary between device physics and the systems built on top of it — neuromorphic and in-memory compute, or nanoscale device characterisation with a strong measurement component. I have shipped software at production scale and published on control for unconventional flight; the master's at OVGU is me going down a layer on purpose. I wrote that out in What a software engineer misinterprets about device physics and how we tuned SLAM against a flapping period.
01
Neuromorphic & in-memory compute
Devices that do the arithmetic where the data already sits. I have spent two years on the software side of inference cost; this is the other end of the same problem.
02
Nanoscale device characterisation
Fabrication and measurement of advanced semiconductor devices — the core of the OVGU programme, and the part I want to be genuinely good at.
03
Autonomy under constraint
Navigation and control when the sensors are poor and the platform is unhelpful. Where my published work sits, and still the problem I find hardest to put down.
Peer-reviewed · Wiley 2025
Navigation of Unconventional Drones — Autonomous Ornithopter
Chapter 20 of Artificial Intelligence Applications in Aeronautical and Aerospace Engineering. Control and navigation for flapping-wing UAVs using UWB, SLAM and ROS, indoors and out. Essay: tuning SLAM against a flapping period.
S. Syam Narayanan, P. Rajalakshmi, Y. Gangurde, A. Mysa, S. Movidi