Software Engineer · Manchester, UK
Ayush
Patra.
Software engineer with a background in Software Defined Networking — two years building low-latency systems for Satellite Communication and ORAN infrastructure at Hughes Systique, recently completed an MSc in Advanced Computer Science at 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 code modules in C++ and ran profilers at 2,500 calls per second, and fixed faults I couldn't reproduce in a simulator.
My MSc at Manchester pushed me towards neuromorphic computing and machine learning. I'm equally comfortable in a terminal as I am in a research paper.
I am currently working on a personal CLI tool to support Canonical's networking suite (LXD, MAAS, OVN and K8s), allowing them to supervise kernel network config and obtain resources without clashes.
LXD, MAAS, OVN, Kubernetes — and the kernel network config underneath all of it.
Low-latency C++ at Layer 4, runtime profiling at 2,500 calls/second, Satellite and ORAN stacks.
MSc dissertation on neuromorphic routing for NoC architectures. ML applied to network traffic analysis.
02 — Projects
Selected work
Neuromorphic Routing on Network-on-Chip
MSc dissertation. C++ pipeline comparing fast, accurate, and energy-aware spike routing techniques for neuromorphic platforms. Derived intermediate SNN representations using SNNTorch in Python and benchmarked two routing algorithms at scale.
Intrusion Detection — ML on Network Traffic
Trained a supervised learning model to classify network traffic as benign or malicious using the UNSW-NB15 dataset. Achieved 87% test accuracy with a False Alarm Rate of 0.009.
netvisor — Canonical Networking CLI
Personal CLI tool for supervising kernel network configuration across Canonical's networking suite — LXD, MAAS, OVN and Kubernetes — allowing resource allocation without clashes. Currently in active development.
More on github.com/ayushpatra11
03 — Career
Experience
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 + SQLite3 full-stack ETL application displaying live xApp traffic with 100% accuracy; 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