I'm a final-year Computer Science undergraduate at, specializing in Data Science. I'm passionate about building and understanding machine learning models from the ground up, with a deep interest in computer vision, NLP and generative AI.
My most recent work has been as a Research Intern at IIT-Bombay, where I'm worked on modeling gait dynamics for clinical profiling.
I believe the most interesting challenges lie at the intersection of established theory and messy, real-world data. My approach is to rigorously build from first principles, diagnose problems with methodical experimentation, and prioritize creating tools that are not just accurate, but also reproducible and robust.
- 📄 ILBE (AICS 2026 Submission): Innovating a novel data augmentation (ILBE) for few-shot visual malware classification. My paper on this is currently under review.
- 🧠 Undergrad Final Project (TDA + U-Net): Using Topological Data Analysis (Persistent Homology) to enhance U-Net architectures for segmenting small intracranial aneurysms.
- 🤖 GenAI Agent Memory: Developing a long-term memory architecture for real-time voice AI agents in the medical field.
- LinkedIn: linkedin.com/in/akshay-gokhale
- Email: akshay.m.gokhale@gmail.com