Thesis: I am strongest where models, hardware, product constraints and deployment all collide.
My route into AI ran through hardware. I joined Technocrats Robotics as a mechanical member in my
first year, and the problems that pulled me in kept moving up the stack: from the rover's frame to
the vision system that decides where it can drive safely. That terrain-analysis work grew into a
research paper, and into leading the rover department.
The same pattern kept repeating. A computer vision internship became four pipelines running on
Jetson hardware inside client workflows. A semantic search experiment became SemantiCache. A
document Q&A prototype became iORA DocQA, a shipped product. If something I build
works, I want it deployed, not archived in a notebook.
Today I lead the rover department at Technocrats, sit in the founder's office for technology and
AI at iora translating engineering constraints into product decisions, and have two papers under
peer review.
The through-lines are RAG systems, real-time vision and autonomous robotics.
Off the clock it is the gym, cricket and cooking. The foodie side leaks into the work, which is
why a food-delivery intelligence system and a shared grocery cart app sit two sections down.
DegreeB.Tech CS (AI and ML), VIT Chennai, 2023 to 2027
CGPA8.28 / 10
FocusAI systems, RAG, computer vision, ML, robotics
NowFounder's Office (Technology and AI) at iora. Intern at IAMAI. Rover Lead at Technocrats Robotics
BaseIndia (Chennai / Noida)
Off-hoursGym, cricket, cooking
SignalNot a notebook-only AI profile: shipped RAG, edge CV, embedded product work and rover autonomy.
