🎓 Education
I'm pursuing an MSc in Artificial Intelligence and Machine Learning at the University of Birmingham. I previously graduated Magna Cum Laude from Ashoka University with a Post-graduate Diploma in Computer Science, where I also earned a Bronze Medal for academic excellence.
🧑🔬 Research and Work Experience
With extensive experience in applied machine learning and computer vision, my research spans across healthcare, neuroethology, and animal behaviour. I have contributed to groundbreaking projects such as:
- Neuroethology Lab, Ashoka University: Developed a high-precision model to track animal movement, achieving 98.29% mAP.
- Cancer Research: Designed improvements to PathLDM, a state-of-the-art Latent Diffusion Model for synthetic cancer pathology images, reducing GPU memory usage and improving FID scores.
- Oral Cancer Studies: Created OrCHID, the first Indian-origin dataset for oral cancer classification, and presented findings at international conferences.
📜 Publications
I've authored and co-authored multiple manuscripts and papers, including studies on machine learning applications in histopathology and neuroethology, currently under review in prominent journals like Scientific Data.
👨🏫 Teaching and Mentoring
As a Teaching Assistant, I’ve helped students in courses like Design and Analysis of Algorithms and Introduction to Machine Learning. I also led research teams, guiding undergraduates in machine learning applications in healthcare.
🏆 Awards and Honors
- Global Masters Scholarship (University of Birmingham)
- Singapore International Pre-graduate Award (Agency for Science, Technology, and Research, Singapore)
- Dean’s List & Magna Cum Laude (Ashoka University)
🔧 Technical Skills
Proficient in Python, TensorFlow, PyTorch, OpenCV, and statistical analysis techniques. My expertise covers both the theoretical and applied aspects of AI, from deep learning to high-performance computing.
🌐 Links
This overviews my academic journey, research experiences, and technical skills. I’m passionate about advancing the intersection of AI and healthcare, exploring the potential of machine learning in scientific discovery and improving patient outcomes.