Beschreibung

Full-stack and Applied AI developer with 7+ years of experience building production-ready software, AI-enabled applications, and computer vision systems. I work across frontend, backend, APIs, databases, cloud-connected components, and LLM-based features. My current stack includes Svelte, React, NodeJS, Python, Rust/Tauri, PostgreSQL, AWS, Docker, and Git. I specialize in turning ideas into structured prototypes and maintainable applications, from requirements and architecture to implementation and testing.

Branchenexpertise

Sprachen

Deutsch
Konversationssicher
Hindi
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher

Arbeitsortpräferenzen

Vor Ort möglich

Kaiserslautern (bis zu 50 km)

DFKI
Applied AI Engineer / Autonomous Driving
FORSCHUNG
Juni 2021 - Mai 2026 (4 Jahre und 11 Monate)
67 Kaiserslautern, Germany
• • Built real-time perception and risk estimation pipelines for autonomous driving, combining object detection, motion prediction, and scene understanding to support safety-aware decision-making; published at CVPR and other top-tier venues.
• • Designed efficient deep learning architectures for perception tasks, reducing computational overhead by 55% and improving deployment feasibility in compute-constrained autonomous-driving environments.
• • Supervised 9 students across Master's theses and research projects, contributing to 5 peer-reviewed publications.
Pytorch OpenCV Python React.js C++
Viscopic
Software Engineer (Computer Vision)
DIGITALAGENTUREN & IT-CONSULTING
April 2020 - März 2021 (11 Monate)
Munich, Germany
• • Developed real-time 6DoF object pose tracking for industrial defect detection, reducing compute cost by 79% versus prior state-of-the-art.
• • Built camera-based visual inspection and assembly verification systems using anomaly detection, classification, and shape matching.
• • Delivered production-ready CV pipelines for industrial measurement and quality assurance using C++, Swift, OpenCV, OpenGL, and PyTorch.
Pytorch OpenCV C++ Python React.js
StudySmarter
Software Engineer (Backend / ML Platform)
BILDUNG & E-LEARNING
April 2019 - September 2019 (5 Monate)
Munich, Germany
• • Optimized backend performance, reliability, and ML-adjacent platform infrastructure using Django REST Framework, Celery, SQL, PostgreSQL, and production-focused API optimization.
Python Django PostgreSQL Functional testing Query Optimization