I’m an AI engineer, researcher, and technical founder focused on building responsible, scalable intelligent systems at the intersection of AI, biomedical engineering, and real-world deployment. My work spans medical imaging, multimodal learning, embedded AI, and low-resource system optimization.
I work primarily with Python, using PyTorch and TensorFlow for deep learning for computer vision and ML pipelines. I have hands-on experience deploying models using Hugging Face, Docker, and cloud platforms, and building end-to-end systems that integrate edge devices, APIs, and real-time inference.a
I mentor with a strong emphasis on clarity, rigor, and execution, helping mentees move from idea formulation to deployment and validation while developing sound technical judgment and impact-driven thinking.
Who I can help
Students and researchers entering AI, ML, or biomedical AI
Early-career software/AI engineers seeking real-world experience
Founders building AI-driven products, especially in emerging markets
What I can help with
AI & ML fundamentals (CV, multimodal models, applied deep learning)
Research design, experimentation, and paper-ready thinking
System design for low-resource and edge AI deployments
Turning prototypes into deployable, production-ready systems
- Responsible AI, safety, and real-world impact evaluation