MSc Computer Science
University of Edinburgh Edinburgh, United Kingdom
Dissertation: Optimising Network Packet Processing on Low-Power ARM Single-Board Computers via DPDK and XDP.
Professional background
Experience
Computer science engineer specialising in backend and systems engineering, with a focus on distributed systems, concurrency, and performance.
Education
BTech Information Technology, Minor in Computer Graphics
Manipal Institute of Technology, MAHE Karnataka, India
GPA: 8.96 / 10.
Technical skills
- Languages
- C, C++, Python, Java, Bash
- Systems
- Linux, POSIX, memory management, system debugging
- Distributed computing
- MPI, gRPC, replication, fault tolerance, performance analysis
- Cloud and delivery
- AWS, Google Cloud, Azure, Docker, Kubernetes, CI/CD
Experience
Traceable by Harness
Software Engineer-1
Built scalable backend systems processing high-volume API traffic in Linux production environments.
- Redesigned entity creation and traffic heuristics, reducing false APIs processed by 78%.
- Reduced storage costs by 43% and improved response time by 21% through system optimisation.
- Built attribute-based GraphQL filtering and improved WebSocket traffic classification.
Artificial Intelligence and Robotics Laboratory, IISc
Systems Design Intern
Developed real-time embedded and video systems for UAV operations.
- Built closed-loop antenna tracking firmware that maintained alignment within 2 degrees during UAV manoeuvres.
- Integrated a Python operator interface for monitoring, manual override, and flight tests.
- Delivered a low-latency video pipeline with under 10 ms end-to-end latency.
Project MANAS, MAHE
Autonomous Systems Team Member
Contributed to autonomous ground and aerial systems for MIT's official AI and Robotics team.
- Developed ROS control systems for a self-driving car and autonomous robots, focusing on navigation and system integration.
- Designed the imaging pipeline and ODCL web application for AUVSI SUAS 2022, including image classification and data submission.
- Contributed to the UAV flight-stabilisation system; the team ranked 18th of 71 globally, second in Flight Readiness Review, and tenth in Technical Design Review.