I'm the engineer you call when you need someone who can figure it out — fast. Hardware, software, networks, distributed systems: I learn what's needed and deliver production-grade results. Currently researching wireless security at BT; previously built systems that protected £4M+ in revenue.
I'm finishing a BEng in Computer Systems Engineering (IET-accredited, predicted First) — a degree that deliberately bridges electronics, embedded systems, software engineering, and distributed computing. That cross-domain foundation is my edge.
Most engineers specialise early. I chose breadth with depth: I understand how transistors become gates, how gates become processors, how processors run operating systems, and how distributed services scale. When I encounter a new domain, I don't just learn the API — I understand the layer beneath it.
At BT Group, I wasn't just writing code — I was trusted with revenue-critical systems, executive-facing dashboards, and research that could affect 29 billion IoT devices. I delivered. Now I'm looking for a team that values engineers who can operate anywhere in the stack and figure out the rest.
I don't list technologies I've touched once. These are domains where I've shipped real systems — and can do it again, fast.
Microcontrollers, real-time constraints, hardware-software co-design. I've built RF remotes with shift registers, IoT sensor systems, and understand what happens beneath the abstraction.
Currently researching IoT device profiling and selective network isolation at BT. I understand hostapd, dnsmasq, routing, and how to harden systems at the network layer.
APIs, data pipelines, message queues, cloud infrastructure. I've built systems handling thousands of daily transactions and infrastructure for 15K+ concurrent users.
Test automation that cut QA cycles by 50%. CI/CD pipelines. Bash tooling that replaced enterprise solutions. I automate what should be automated.
When a full solution is needed, I build the interface too. Executive dashboards, e-commerce platforms, internal tools — functional, fast, purpose-built.
From Hyperledger authentication prototypes to ML-based device classification — I can take a research concept and turn it into a working demo or production system.
Technologies change. What doesn't change: the ability to decompose problems, understand systems deeply, and learn whatever is needed to solve them. That's what I bring. The specific stack is secondary — I'll master what the problem requires.
Researching Selective Smart Hubs — Wi-Fi security for IoT. Building device fingerprinting and AI-driven classification to isolate insecure devices on home networks. This addresses vulnerabilities across 29+ billion IoT devices expected by 2030. Working directly with senior researchers; contributing to publications.
Not a typical placement. I was trusted with
revenue-critical systems:
• Guardian platform — billing accuracy
system protecting £4M+ annual revenue,
processing thousands of data points daily from legacy
pipelines
• Executive dashboards — real-time Jira
analytics adopted by BT Directors for decision-making
• QA automation — Robot Framework + custom
Bash reporting that cut testing cycles by
~50% (6× faster, memory-efficient, now in
production)
• Hyperledger prototype — blockchain
authentication demo at BT London showcase (rare for a
placement student)
Led a team of 4 engineers delivering systems for clients across 7+ countries. Built cloud infrastructure for a world-record online book launch (15,000+ concurrent users). Delivered inventory management systems, e-commerce platforms with automated stock sync, and custom APIs.
I also operate a small engineering consultancy where I build bespoke automation and software systems for select clients. This work complements my engineering development and helps me stay hands-on across a wide range of technologies.
I don't list everything I've touched. Here's work that demonstrates range, depth, and real-world impact.
Research system for Wi-Fi security: fingerprinting connected devices, classifying them with ML, and selectively isolating insecure hosts. Built with hostapd, dnsmasq, Flask dashboard. Addresses security for billions of IoT devices.
End-to-end platform ensuring billing accuracy across BT Digital. Ingests thousands of daily data points from legacy pipelines, flags discrepancies, and provides audit trails. Directly protects revenue.
Robot Framework test packs + custom Bash reporting tool that replaced Allure. 6× faster, memory-efficient, now standard across BT QA teams. Reduced testing cycle time by approximately 50%.
Cloud infrastructure for the Golden Book of World Records online launch. Designed for and sustained 15,000+ concurrent users. Scalable architecture, real-time monitoring, zero downtime during peak.
Shopify store engineering, inventory automation, payment integrations, API sync with Linnworks and suppliers. DK Wholesale alone: ~£500K annual revenue, 10K+ customers. Multiple similar client deployments.
Blockchain-based authentication system using Hyperledger Fabric. Built and demonstrated at BT's London showcase — a rare achievement for a placement student. Proof-of-concept for decentralised identity.
Building a miniature compute cluster using low-power nodes, enabling efficient distributed processing at the edge. Combines my interests in embedded systems, parallel computing, and systems architecture.
University of Huddersfield — IET Accredited
Predicted: First Class Honours | 2022–2026
A deliberately cross-disciplinary degree: electronics, embedded systems, software engineering, distributed computing, and engineering management. This isn't a CS degree — it's systems engineering from first principles.
I'm open to opportunities where I can apply systems thinking, cross-domain engineering skills, and a track record of delivering under ambiguity.
hi@aliasgar.dev