Bengaluru, Karnataka, India
I am a philosopher and an AI professional who can also crack a bit of humour. By day, I design AI for ophthalmic and medical imaging. By interest, I study how neuroscience principles can inspire more intelligent and explainable AI. I bring expertise in deep learning and computer vision, with hands on experience in building scalable AI solutions. My work spans both research and product development, from experimental models to real world deployment. I am building Coflect and MetaCognisum. Coflect, an agentic deep learning framework, is focused on interactive deep learning and human in the loop model understanding. MetaCognisum explores brain inspired AI agents and neuroscience driven intelligence design, using ideas like memory, attention, and adaptation to shape more efficient and explainable AI systems. Core skills Efficient, explainable and secure AI GenAI and Agentic AI Cross platform AI product development (Windows, iOS, Android) Probabilistic deep learning MLOps and DLOps Machine learning system design Human in the loop training and model interpretability (Coflect) I write about AI and Neuroscience, Ophthalmic AI, and technical humour, breaking complex ideas into simple and engaging stories.
Creating Brain / Neuroscience Inspired AI
Redefining deep learning
Developing AI solutions for pediatric screening and ophthalmic disease detection, improving early diagnosis and accessibility. Optimizing deep learning training loops, reducing computational costs while enhancing model performance. Building and managing MLOps pipelines for efficient model deployment, monitoring, and scaling. Developing GenAI solutions for medical image quality enhancement, improving the reliability of AI-based diagnostics. Researching and implementing novel AI techniques to improve disease classification and prediction accuracy. Leading AI innovation initiatives, ensuring state-of-the-art deep learning approaches are leveraged for impactful solutions. Leading VLM based AI solutions. Creating AI agents for enhancing development and depeloyment of AI solutions. Exploring RAG based solutions.
Led the technical development of AI-enabled mobile applications using React Native and MediaPipe. Implemented probabilistic deep learning techniques to enhance model reliability and uncertainty estimation. Developed neuroscience-inspired AI models, incorporating cognitive principles into artificial intelligence. Designed and deployed AI solutions for ophthalmic disease detection.
Created AI products for cross-platforms. Worked on explainable AI.