Engineered a real-time computer vision system leveraging YOLOv8 object detection to estimate vehicle density and dynamically adjust traffic light durations, reducing urban congestion.

• •Real-time vehicle detection and density estimation across multi-lane traffic feeds.
• •Dynamic signal timing algorithm adjusting green lights based on live queue length.
• •Built lightweight Flask API service for processing camera feeds and telemetry stream.

Developed a robust backend system for monitoring API request costs, enforcing budget thresholds, tracking token usage analytics, and preventing cost overruns.

• •Constructed intelligent rate-limiting middleware to guard expensive AI/3rd party APIs.
• •Real-time token and request consumption telemetry dashboards.
• •Automated alerts and circuit breakers when client budget thresholds are crossed.

Built an end-to-end recruitment platform connecting job seekers and recruiters with interactive career roadmaps, applicant tracking, and administration dashboards.

• •Designed separate candidate and recruiter portals with secure authentication.
• •Built interactive career roadmap visualizer and custom profile builder.
• •Created RESTful backend services for application submission, filtering, and candidate analytics.