🔭 I’m a Research Grad @Machine Learning Lab, IIITH

👯 Had collaborated with the University of Leicester, UK on a project that focused on a paediatric Machine Learning based solution. Received several national and international awards. The project was funded by the Medical Research Council (MRC), UK under the Confidence in Concept award. Since, this is a recent achievement, the results aren't publically available, but here's a fellow collaborator's LoR highlighting the award for the project, to rule out any false claims. https://drive.google.com/file/d/1o3I1-YEHSvO7LHno8zhyQfuFFEMJOEWb/view?usp=drive_link

🤝 I have worked in Qualcomm as a Backend Developer

🌱 My Thesis was on application of Domain Adaptation and Active Learning on Computer Vision problems spanning from Medical Imaging( Opthalamology ) to Agriculture( Seed Quality Testing )

💬 My interests and college projects are on Application of LLMs, Semantic Segmentation, Unsupervised Domain Adaptation, Batch Active Learning, Multi-modal Deep Learning, 3D Computer Vision, Sensor Fusion, Compression, Quantisation Techniques and Knowledge Distillation.

🔭 Semantic Segmentation is a key area, I have invested an ample amount of time building projects on, like comparing various SOTA models like SegFormer, DeepLab_v3 and UNET on BDD_100k dataset. All these models were built from scratch following the paper pertaining to the respective models as College Project

🔭 Have interned at Nykaa, as a data scientist working on a multi-modal system and improving their recommendation pipeline for Shop-The-Look applications leveraging style aspects of Nykaa's fashion catalog using CLIP and SegFormer

🔭 Have solved over 650 problems uptil 2300 rated, across Competitive Coding platforms like Codeforces, Codechef, etc. Here: https://www.stopstalk.com/user/profile/prtk1729

💬 Ask me about Data Structure and Algorithms, Competitive Coding, Computer Vision, Multi-modal systems, LLMs.