Professional Overview
I enjoy creating AI products that solve real problems. My professional journey has been a blend of computer vision, deep learning, NLP, robotics, automotive software development and testing. Some areas I'm particularly skilled in:1. Computer Vision: Designed, trained, and deployed various models as part of PoV and as well as production systems2. MLOps & Deployment: I have streamlined AI pipelines using tools like Docker, Jenkins, and MLflow, and set up monitoring systems with Prometheus and Grafana.3. Robotics & Edge Computing: Hands-on experience integrating AI with robotics platforms using ROS2, handling OTA updates, and deploying real-time models on edge devices.4. Project & Product Management: Comfortable leading cross-functional teams, coordinating AI projects from early prototypes through production deployment and beyond.My work has involved collaborating with innovative teams in Germany's Cyber Valley ecosystem, building impactful AI applications together.Right now, I am keen to connect with teams and organizations working on interesting, challenging AI projects. If that sounds like you, I would love to chat.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
