Computer Science and Engineering student with interests in software development and mobile app development, experienced in developing applications, fixing bugs, researching technical solutions, and applying object-oriented design, algorithms, and databases.
Young Communicators’ Club
AlgoZenith: Shoolini Chapter
National Service Scheme
The RuneCore Store X LilacOculi
Regular contributor for cancer fundraising through handmade crochet and trinkets.
Bachelor of Computer Science and Engineering, Computer Science and Engineering
2023 – Present
8.68 CGPA
AS & A Levels (12th)
2021 – 2023
3A|1B
Simulated a three-intersection Indian arterial corridor in SUMO with heterogeneous traffic. Engineered a central PPO reinforcement learning agent using stable-baselines3, GPS heatmap density, and per-signal queue lengths to coordinate green-time adjustments. Reduced average vehicle delay by over 50% against fixed-time baselines and validated results through a Streamlit dashboard.
Developed a real-time computer vision system using face detection and tracking to monitor attention, process live video frames, detect face orientation and engagement patterns, and trigger automated feedback mechanisms.
Built a mood classification pipeline using machine learning models to detect emotional states, applied preprocessing and model tuning to improve prediction accuracy, and explored personalization use cases.
Analyzed heat map-based attention distribution and gaze clustering for user behavior analysis and marketing analytics use cases.