
Founder & CEO @ Twinity Labs · ex-JLR · IIT Kanpur
I build at the crossroads of mechanical engineering, software, and AI. From redesigning railway suspensions adopted by Indian Railways, to architecting software-defined vehicle platforms at JLR, to shipping an AI-powered fitness app end-to-end, to now building Digital Twin solutions at Twinity Labs — I'm drawn to problems that live at the intersection of fields.
When I'm not shipping code, I'm usually cooking my way through a new recipe — Cheeseburst pizza, vanilla ice cream, and litti-chokha top the list — or chasing the next adrenaline rush somewhere outdoors. I rotate through cricket, football, basketball, and swimming, with tennis, archery, and shooting still on the someday list. And yes, there's a stack of novels on my shelf I keep promising myself I'll actually finish.
A career spanning mechanical R&D, automotive software, AI/ML, and deep-tech entrepreneurship.
Leading operations for a heavy crane business serving major industrial and public-sector clients. Overseeing sales, AMC, spare parts supply, and on-ground operator training.
Building an applied Digital Twin solutions venture with LLM-powered tooling. Shipping AI-native products end-to-end — from Flutter apps with Claude/GPT integration to AWS serverless backends.
twinitylabs.com ↗Zero-downtime migration of 450+ repos. Platform-agnostic CI/CD. Open-source IaC stack (OpenTofu, BuildBarn, Lorry).
Led Digital Twin push with IndusTANTRA. Cross-functional innovation via Plug and Play startup collaborations.
Presented to Boards of JLR & Tata Motors. Led OS/BSP bring-up. Built deterministic platform services. AWS boot observability pipeline. ASIL-B certification leadership.
Python Test Executable Generator. FastAPI microservice for GCP state. 300+ test assets across dSPACE/Vector/NI.
Predictive maintenance (LSTM, spectrograms). VR/XR demos for the Board. Audio-ML pipelines. Patent pending.
MagRail prototype for Hyper Poland (Nevomo). Problem statement and solution framing under Prof. N.S. Vyas.
Hydrostatic bearing design (60,000 kgf), friction welding machine components, failure analysis.
Tensile specimen modelling in Abaqus. Results contributed to new specimen design for automotive applications.
A chronological journey through the chapters.
Side projects, apps, and academic work from IIT Kanpur and beyond.
Full-stack fitness app with AI coaching (Claude/GPT), offline-first sync, and cloud infrastructure. Built end-to-end from Flutter frontend to AWS backend.
twinitylabs.com/setmind ↗Redesigned FIAT type LHB bogie suspensions. Design improvements accepted by Indian Railways for production rollout.
Built 1st-gen compact Moving Iron Type actuator for active damping. Peak force ~13N in 30–140 Hz range.
Lateral/longitudinal dynamics modelling. Simpack rail-wheel pair, ANSYS APDL beam-with-moving-load.
Tuned Mass Damped Boring Bar design. Modal testing with CutPro. Chatter elimination optimization.
FE models for Frontier Technologies. ANSYS analysis under Buff, Draft & Bending loads. Anti-climbing simulation at 45 tonnes.
C-Space computation, A* path planning, Rapidly Exploring Random Trees for mobile robot.
BEMT numerical solution, Newmark's algorithm for flap response, free flight coupled trim analysis.
Implemented research paper on stabilization with uncertainties. Extended High Gain Observers.
SolidWorks/AutoCAD modelling, CNC-fabricated prototypes, business plan & marketing brochure.
deeplearning.ai on Coursera — Neural Style Transfer (VGG-19), Car Detection (YOLO), Face Recognition (FaceNet), DNNs for binary classification.
Interactive gaze controlled HUDs (Jul 2021). Teams from all 6 GDD centers worldwide.
Nationwide top scorer in Mathematics at ISC, 2015 — Loyola School, Jamshedpur.
Qualified for admission to IITs.
B.Tech-M.Tech Dual Degree, Mechanical Engineering
2015 – 2020Mathematics & Computer Science
2002 – 2015"Courage is willingness to take the risk once you know the odds. Optimistic overconfidence means you are taking the risk because you don't know the odds. It's a big difference." — Daniel Kahneman