Vehicle Engineering Services (VES) — ADAS Team. Exploring sequence-based learning for Adaptive Cruise Control (ACC) and vehicle longitudinal acceleration prediction. Preparing 50ms time-synchronized datasets combining vehicle dynamics with radar/camera perception. Designing LSTM encoders with Mixture-of-Experts (MoE) regression for temporal and driving-dependent vehicle control.

Led a 4-member multidisciplinary team developing KAAVAL AI — an Edge AI road-safety platform publicly deployed at a live traffic junction on 9 June 2026. Integrated YOLO/OpenCV helmet-violation detection, vehicle number-plate recognition on RDK X5, backend APIs, PostgreSQL, Admin Dashboard, LED display, and AWS services.

Developed 15+ REST APIs for pricing management using FastAPI and PostgreSQL. Performed API testing, smoke testing, database validation, SQL query optimization, and defect fixes within Agile peer-review workflows.

Contributed to multiple Open Source GitHub repositories and internal projects.

Built prototype IoT sensor devices for smart health monitoring and rescue systems. Gained experience in IoT communication protocols, embedded hardware-software integration, and sensor-to-cloud pipelines.

Performed data cleaning, preprocessing, and built Power BI dashboards to communicate insights from real-world datasets.

Managing chapter finances, digital assets, and coordinating events as Treasurer. Previously served as Junior Design Associate (2024–2025).

Designed digital marketing assets and data visualizations. Analyzed marketing performance metrics to optimize campaigns.