Hi,
I am Fazeel.
AI Engineer
Experience
Safe RH – Junior AI Engineer
Worked on the SAFE-RH Rural Health Monitoring System in collaboration with the University of the West of Scotland and Université de Lorraine. Developed AI models for health risk prediction, integrated vital signs monitoring into IoT devices, and contributed to a Smart Wheelchair with obstacle detection.
Technologies used: Python, Raspberry Pi, OpenCV, TensorFlow, and AWS. Contributed to real-time dashboards and streamlined model deployment via MLOps.
Research Internship (AI) – University of the West of Scotland
Worked on a research project titled "Smart Wheelchair with Obstacle Detection & Vital Signs Monitoring". Built object detection pipelines, integrated sensor fusion for safety, and presented findings to international research teams.
Optimized edge AI on Raspberry Pi, published deployment docs, and delivered results during global academic workshops.
Skills
Passionate and results-driven professional with expertise in Artificial Intelligence, MLOps, and Cloud Computing. Proven track record of delivering impactful results through a strong skill set in the following areas:
Django, Flask, QTPY, OpenCV, Socket, FastAPI
GenAI, HuggingFace, LLMs, LangChain, Pandas, Numpy, CNN, YOLO, Matplotlib, Seaborn,ChromaDB, FAISS, PineCone, PostgresSQL, MySQL, MongoDB Atlas, TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV, Streamlit
Docker, Kubernetes, CI/CD, GitHub Actions,
AWS EC2, AWS S3, AWS ECR, AWS Lambda
Source Code
