Machine Learning Engineer focused on building end-to-end AI systems from model development to production deployment. Experienced in Computer Vision, NLP/LLMs, and MLOps, with strong emphasis on scalable and reproducible machine learning pipelines.

Based in Germany and actively seeking opportunities in AI Engineering, Machine Learning Engineering, and Computer Vision roles.

• End-to-end Machine Learning systems (training → API → deployment)
• Real-time Computer Vision applications (edge inference & APIs)
• LLM-powered applications (RAG, embeddings, multi-provider LLM systems)
• Production ML pipelines with Docker, FastAPI, AWS, and CI/CD

• Built a real-time emotion detection system using EfficientNet-B0 for classification and MediaPipe for face detection, exposed through a FastAPI REST API for inference, and implemented CLAHE-based image preprocessing to improve robustness in low-light conditions.
• Impact: Real-time inference pipeline optimized for CPU deployment

• Built a collaborative filtering recommendation system using SVD on the MovieLens-1M dataset, improved performance by reducing RMSE from 2.52 to 0.965 through iterative MLflow experiments, and deployed the model as a scalable REST API using FastAPI on AWS ECS (Fargate) with a complete MLOps pipeline including CI/CD, data versioning, and automated testing.
• Impact: End-to-end production ML system with cloud deployment

• Built an AI-powered resume–job matching system using Sentence Transformers and LLMs for semantic similarity scoring, combined embeddings with keyword-based ranking for hybrid relevance, implemented multi-LLM routing (OpenAI, Groq, Ollama) for flexible inference, and ensured structured outputs using Pydantic schema validation via a FastAPI service deployed with Docker.
• Impact: Intelligent skill-gap analysis and job matching engine

• DrowsyGuard: Real-time driver drowsiness detection using MediaPipe and OpenCV
• HELPBEE :RAG Chatbot using document retrieval + LLM generation
• Customer Churn Predictor

Programming Languages & Tools

• Python, SQL

Machine Learning & AI

• Pandas, Numpy, Scikit-learn, XGBoost, TensorFlow, PyTorch
• NLP, LLMs, RAG, Sentence Transformers, Hugging Face
• Computer Vision, OpenCV, MediaPipe

MLOps & Cloud Deployment

• FastAPI, Docker, MLflow, DVC, GitHub Actions, REST APIs
• AWS (S3, Lambda, API Gateway, ECS, ECR)

• Production Machine Learning (MLOps)
• Computer Vision systems
• Generative AI applications (LLMs, RAG)

Actively seeking roles in Machine Learning Engineering, AI Engineering, and Computer Vision across Germany and Europe.