Software Engineer · Manchester, UK
AyushPatra.
Software engineer with a background in Software Defined Networking — two years building low-latency systems for satellite communication and ORAN infrastructure at Hughes Systique, and an MSc in Advanced Computer Science from the University of Manchester.
01 — About
I care about how things work at the lowest level.
At Hughes Systique, I worked on Layer 4 for satellite communication and ORAN stacks — the kind of work where a 1% improvement in call success rate means something real. I wrote critical C++ modules, profiled under loads of 2,500 calls per second, and fixed faults that could not be reproduced in a simulator.
My MSc at Manchester deepened my interest in neuromorphic computing and machine learning. I am equally at home in a terminal as I am in a research paper.
I am currently building netvisor, a personal CLI tool for orchestrating kernel network configuration across environments that use LXD, MAAS, OVN and Kubernetes — designed to surface conflicts and prevent resource allocation clashes.
TCP/IP, BGP, OSPF, ORAN — focused on the protocol layers where system performance is actually decided.
Low-latency C++ at Layer 4, runtime profiling under 2,500 calls/second, satellite communication and ORAN stacks.
MSc dissertation on neuromorphic routing for NoC architectures. Machine learning applied to network traffic classification.
02 — Projects
Selected work
Neuromorphic Routing on Network-on-Chip
MSc dissertation. A C++ pipeline benchmarking fast, accurate, and energy-aware spike routing techniques for neuromorphic platforms. SNN representations were derived using SNNTorch in Python, with two routing algorithms evaluated at scale.
Intrusion Detection — ML on Network Traffic
Supervised learning model trained to classify network traffic as benign or malicious on the UNSW-NB15 dataset, achieving 87% test accuracy and a False Alarm Rate of 0.009.
netvisor — Kernel Networking CLI
CLI tool for orchestrating kernel network configuration in environments that use LXD, MAAS, OVN and Kubernetes. Designed to surface conflicts across multiple networking layers and prevent resource allocation clashes. Currently in active development.
More on github.com/ayushpatra11
03 — Career
Experience
Software Engineer 1 (Prof 1)
Canonical · Remote, UK
- —Hired by Mr. Mark Shuttleworth, building Kubernetes networking infrastructure on the Linux kernel stack, as the first dedicated networking engineer on the team.
Software Developer Engineer
Hughes Systique Corporation · Gurgaon, India
- —Designed an end-to-end low-latency call resource allocation algorithm for Layer 4 in C++, achieving a 97% call success rate and increasing calibration efficiency by ~30%.
- —Enhanced proprietary telecom simulators in Python for heavy call-load scenarios, hitting a 99.1% call completion rate.
- —Conducted runtime profiling, fault analysis, and performance tuning under peak loads of 2,500 calls/second.
- —Built a ReactJS and SQLite3 ETL dashboard displaying live xApp traffic in real time; integrated custom xApps with the OAI 5G core via containerisation.
Front-End Developer
SaudaTech · Gurgaon, India
- —Designed mobile and web interfaces for the Broker Mitra App using Figma, improving UX and product design.
- —Implemented OTP login and refined the UI, streamlining the flow for 50+ monthly active users.
04 — Education
Academic background
The University of Manchester
Master of Science · Advanced Computer Science
- —Grade: 72.5%
- —Manchester, United Kingdom
- —Focus: Networking, Neuromorphic Computing, ML, Distributed Systems
- —GreatUniHackathon — HireAI project
Manipal University Jaipur
Bachelor of Technology · Computer Science Engineering
- —Grade: 88.00%
- —TMA-Pai Merit Scholar
- —ACM Student Chapter, Aperture Photography Club
Heritage Xperiential Learning School
High School Diploma · Science (CBSE)
- —Grade: 96.2% — 12th, CBSE
- —Click Photography Club, Cinephilia Videography Club
05 — Skills
Tools & technologies
06 — Stats
By the numbers
Career highlights
LeetCode