Kubernetes EnthusiastFull Stack Developer
Hi, I'm Vivek.
Full stack developer building scalable applications end-to-end — from React and Next.js frontends to Django and Node.js backends, powered by AWS cloud infrastructure and DevOps automation.
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Experience
My professional journey across automotive software, web development, and enterprise systems.
Software Engineer
CurrentSegula Technologies GmbH
Cologne, Germany
- •Architected 50+ REST APIs in Django with JWT auth and role-based access control
- •Engineered vehicle maneuver detection achieving 95% accuracy across 1,000+ km of route data
Intern & Master Thesis
AVL Deutschland GmbH
Stuttgart, Germany
- •Developed a hybrid CV and deep learning pipeline to reduce ADAS camera data volume
- •Automated emissions test bench analysis, replacing manual Excel-based workflows
Software Engineer
Changepond Technologies Pvt Ltd
Chennai, India
- •Maintained and enhanced an enterprise Java web application serving business-critical workflows
- •Led database migration from SQL Server 2008 to 2016 with performance tuning and regression testing
Education
Two Master's degrees across software engineering and automotive systems.
Master of Science in Automotive Software Engineering
Technische Universitat Chemnitz
Chemnitz, Germany · 2021
Software Platforms for Automotive Systems, Multicore Programming, Image Processing, Machine Learning
Master of Science in Software Engineering
Sri Ramakrishna Engineering College
Coimbatore, India · 2014
Software Development & Data Structures
Projects
Highlights from my professional and personal work.
Cloud Portfolio Infrastructure
This portfolio itself - a full-stack cloud-native application with Next.js frontend, AWS Lambda backend, DynamoDB visitor tracking, S3 + CloudFront hosting, Terraform IaC, and GitHub Actions CI/CD pipeline.
Vehicle Maneuver Analysis
Geospatial analysis platform achieving 95% accuracy in detecting driving maneuvers across 1000+ km of mapped routes. Combines OpenStreetMap data with custom algorithms for route planning and maneuver classification.
ADAS Data Optimization
Master thesis project - a hybrid classical CV and deep learning pipeline for reducing raw ADAS image data by detecting and compressing non-traffic-relevant regions in autonomous driving datasets.
Tech Stack
Technologies I work with day-to-day.
Languages & Frameworks
Cloud & DevOps
Data & Databases
Let's Connect
Open to opportunities, collaborations, or just a friendly chat.
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