Artificial Intelligence Engineer with a strong foundation in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs), backed by mastery of Python, TensorFlow, PyTorch, Scikit-learn, and OpenCV.
Work Experience & Technical Impact
University Teaching Assistant: I have mentored 70+ engineering students in Artificial Intelligence and Distributed & Parallel Computing laboratories, bridging theoretical concepts with hands-on engineering execution.
AI Project Portfolio: Independently designed and developed 10+ end-to-end intelligent systems across healthcare predictive analytics, computer vision, recommendation systems, and LLM-powered applications, sharpening my ability to build, train, and evaluate production-ready models.
Why me?
Distinctive Academic & Practical Fusion: Combining a top-tier computer engineering background with real-world technical implementation and academic mentorship.
Mission-Driven Vision: Deeply passionate about leveraging AI to create meaningful impacts in healthcare, with a specialized research focus on Brain-Computer Interfaces (BCI), neurotechnology, and biomedical signal processing.
Adaptability & Drive: A continuous learner committed to building ethical, reliable, and innovative intelligent systems.
I am open to full-time roles, freelance projects, and collaborative opportunities as an AI Engineer, Machine Learning Engineer, or Medical AI Researcher.
