Raghav Kumar (Raghavcast)
Associate Software Development Engineer
Hire this person
Send a job offer directly to this candidate
About
Art and creation have always been essential parts of my life, from engineering to painting and playing music (keyboard and guitar). These creative pursuits taught me patience and self-expression, qualities that resonate in my work with electronics and coding. A middle school robotics class first revealed the creative side of engineering, showing me the synergy between art, hardware, and software, a passion I have pursued throughout my academic and professional journey.
My work with the IEEE Remotely Operated Vehicle (ROV) Team reinforced my adaptability, problem-solving, and teamwork. Initially working on PCB design, I soon contributed to the complex electrical stack, mentored newer members, and taught concepts I had recently mastered. These leadership and technical experiences are qualities that have helped me through my career.
My passion for painting and playing music has honed my ability approach problems from different perspectives, skills that have proven invaluable in my engineering work. With my technical foundation, adaptability, and creative approach to problem-solving, I aim to use my education to contribute to innovations in fields like IoT, robotics, and autonomous systems
Experience
Associate Software Development Engineer at Moving Tech Innovations Pvt. Ltd. (2024-11 – Present)
- Developed the Chennai One bus tracking system supporting 3,000 bus routes
- Designed an ML based ETA algorithm with 80% of arrivals predicted within 2 minutes
- Engineered an automated training pipeline to continually improve the ETA accuracy
- Built a GPS route polyline generation tool, improving map and ETA accuracy
- Built Prometheus/Grafana dashboards to monitor production Kubernetes deployments
Machine Learning Engineering Intern at Quantiphi Analytics (2024-07 – 2024-10)
- Developed employee shift rostering system using Google OR-Tools for capstone project
- Created text generation and image classification models with TensorFlow for assignments
Software Development Engineering Intern at Juspay Technologies Pvt. Ltd. – Namma Yatri (2023-06 – 2023-08)
- Optimized location update API by implementing Redis through multithreading with Rust
- Enhanced performance of Namma Yatri API from 100ms to 10 ms by improving caching
Education
Bachelor of Science in Computer Engineering – Purdue University (2024-05)