I build high-throughput production systems — from real-time ML inference on edge devices to enterprise backends serving 150K+ users.
ABOUT ME
I design backend systems from the ground up — scalable, observable, and built to last. Whether it's processing real-time sensor streams at 500Hz, deploying ML models on edge devices, or architecting distributed services for enterprise logistics, I focus on software that ships and performs under pressure.
Currently at MotionMiners GmbH, I co-led an AI-powered ergonomics platform serving enterprise clients including Dachser, Škoda, Hermes, and DB Schenker. Previously at Tata Consultancy Services, I built the backend for a platform serving 150K+ users and 7K+ drivers across India.
I hold an M.Sc. in Data Science from TU Dortmund, with my thesis focused on real-time human activity recognition using on-device ML.

EXPERIENCE
EDUCATION
PROJECTS
Real-time posture intelligence for industrial workers
Logistics workers face high injury risk from repetitive strain. Existing solutions required cloud connectivity and expensive multi-sensor rigs.
Self-contained edge system with a custom PyTorch inference pipeline running entirely on-device. One compact wearable classifies complex body movements in real-time at 500Hz.
Deployed to enterprise logistics environments. 80%+ ML accuracy with only 150 min of training data. 50% model size reduction with zero accuracy loss.
Real-time asset & worker tracking at warehouse scale
High-throughput signal processing system for real-time location intelligence at warehouse scale. Ingests and correlates concurrent data streams from hundreds of devices with reliable state management and sub-second latency.
High-performance real-time flight tracking backend
Backend API for real-time flight data ingestion and WebSocket streaming. Built with Kotlin Ktor and MongoDB, deployed on AWS — designed to showcase event-driven architecture at scale.
National-scale employee transport logistics for India
Large-scale backend serving 150K+ employees and 7K+ drivers across India. Built with Spring Boot microservices, PostgreSQL, and Redis — full-stack delivery from APIs to mobile client.
SKILLS
WHY ME
Not just a developer. A systems thinker who owns outcomes, not just tasks.
I don't hand off at the API boundary. I've shipped systems spanning ML model training, Android app architecture, backend data pipelines, and cloud deployment — fully owned from idea to production.
From 500Hz sensor streams to 150K-user backends, I've built systems that hold up under real-world pressure. Performance isn't an afterthought — it's a design constraint from day one.
Airgo XP runs in live logistics environments. The TCS transport platform handles thousands of drivers daily. My work isn't demos or side projects — it's software with real users on the other end.
Backend engineer who can read a PyTorch model, design a low-latency data pipeline, and reason about hardware constraints. This rare combination means I integrate fast and reduce team friction across the stack.
I ship. I've worked in fast-moving startup environments and large enterprise teams, adapting quickly, writing clean maintainable code, and keeping delivery velocity high without sacrificing quality.
Every system I've built has a real user — a logistics worker protected from injury, an employee getting to work safely. That context shapes every design decision I make.
CONTACT
I'm actively looking for backend engineering roles where I can own systems, drive impact, and work with teams that care about quality.