Work
Built independently during my first year — across finance, data analysis, and computer vision.
A rule-based financial analysis tool powered by the Gemini API. Analyses transaction history to surface personalised spending insights, detect overspending patterns, and flag subscription leakage with plain-language summaries the user can actually act on.
End-to-end data analysis of personal Spotify listening history. Visualised listening behaviour, genre distribution, and track engagement trends using NumPy, Matplotlib, and Seaborn statistical storytelling through data.
Streamlit dashboard integrating live financial APIs for real-time stock trend visualisation. Implemented technical indicator interpretation and basic trend evaluation on market data.
A live background-replacement pipeline built with OpenCV and NumPy. Processes webcam frames in real time using colour masking for foreground background segmentation with no GPU or ML model required.
Computer vision pipeline for detecting and tracking moving objects in live video. Outputs annotated video with highlighted object trails awarded Best Project at the ISTE MIT OpenCV Workshop.
Background
B.Tech CSE (Financial Technology) · Manipal, Karnataka
Class XI – XII (CBSE) · Faridabad
Class VII – X (CBSE) · Faridabad
Kindergarten – Class VI · Gamharia, Jamshedpur
Toolkit
Currently learning and actively using in projects.
Recognition
Awarded for the Real-Time Ball Tracking System among all workshop participants.
Secured an under-50 rank in the Cryptonite Capture The Flag cybersecurity competition at MIT Manipal.
Campus
Cloth donation drives, old age home visits, blood donation camp organisation.
Publicity & outreach for the ROS Workshop; part of SMGD and AI & Development subsystems.
Assisted in publicity for Aurora 2026 TechWeek — a multi-event technical initiative.
