Professional Overview
AI Engineer specializing in Computer Vision, LLMs, RAG, and AI systems. Experienced with Python, C++, PyTorch, TensorFlow, YOLO, LangChain, FastAPI and Docker. Currently developing AI solutions for automotive and intelligent transportation systems, with additional expertise in Cybersecurity and AI research.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed C-ITS safety solutions for vulnerable road users leveraging DSRC and C-
- Developed C++ and Python Computer Vision pipelines with YOLO algorithms for real
- Built framework-free RAG systems using FastAPI, integrating hybrid retrieval, c
- Engineered high-performance AI models for industrial and automotive application
Key Achievements / KPIs
- Published research on C-ITS solutions for VRU safety at the 2025 IEEE/IFIP DSN-
- Implemented multi-provider LLM pipelines with advanced re-ranking and source-gro
- Optimized real-time video stream analysis workflows for traffic monitoring and h
Education
Field of Study: Artificial intelligence, Distributed Systems, Cloud
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
