I am a 2023 graduate with a Dual Degree (B.Tech + M.Tech) from Indian Institute of Techonology (IIT) Kharagpur. and a specialisation in Artificial Intelligence and Machine Learning Applications. I have always been interested in applications of data science which has led me to pursue internships, and do a few research projects in the past related to deep learning in the fields like agriculture, weather prediction, medical imaging, etc.
When I'm not in front of a computer screen, you can find me vibing to hiphop music, wandering around with my camera, or crossing off another item on my bucket list.
Working to develop and configure advanced pricing solutions using CPQ platforms.
Worked in an agile production environment for redesigning the Track & Trace Portal
Built predictions for pre-emptive caching of flight search data using Survival Analysis
Built an in-house address standardization API to clean-up rough addresses data
Conducted primary research on large-scale healthcare firms to enable corporate tie-ups
Emulated the behaviour of a Agent Based Epidemic Simulation model, using inexpensive deep learning methods.
Implemented a Data Driven Weather Prediction model using a spatial transformer-based U-NET to capture features of spatio-temporal weather data
Second iteration of my personal website using Jekyll.
Implemented and trained image detection models like Faster-RCNN, EfficientDet, YOLO to predict bounding boxes over wheat heads
Modeled the multi agent path finding problem for managing aerial and ground (obstacle-constrained) swarms for precision agriculture
Built a data pre-processing pipeline for generating synthetic data and segmenting cell nuclei using ResUNet++ model, for identifying and classifying breast cancer.