Backend & Infrastructure Engineer Building distributed systems that survive production traffic.
I specialise in high-performance backend systems, OS-level virtualisation, and async architectures (mostly because I like understanding what breaks under real load).
Currently, I engineer microservices handling 1M+ daily requests at CreditSea.
I don't just write code; I design systems for observability, fault tolerance, and scale.
- Infrastructure as Code: If it's not automated, it doesn't exist.
- Latency Matters: I optimise P99S using efficient caching (Redis) and async processing (BullMQ).
- Security First: Experience with Linux namespaces & cgroups for secure code execution.
A secure remote code execution engine capable of running untrusted C++/Python code safely.
- The Challenge: Preventing "Fork Bombs" and OOM attacks from malicious user code.
- The Solution: Architected a custom sandbox using Docker and Linux cgroups to strictly limit CPU/Memory usage. Decoupled execution using Redis queues for burst handling.
- Tech: Node.js, Docker, BullMQ, Redis, AWS EC2.
Computer Vision pipeline for crowd safety analysis.
- The Challenge: Processing live video feeds with sub-second latency.
- The Solution: Built a 3-tier architecture using WebSockets for full-duplex streaming and optimized OpenCV scripts for efficient frame processing.
- Tech: Python, OpenCV, WebSockets, React.
| Domain | Stack Strategy |
|---|---|
| Languages | C++ (Low-level systems), JavaScript/TypeScript (API), Python (Data/AI) |
| Infrastructure | Docker (Containerization), AWS (EC2, ECR), Nginx (Reverse Proxy) |
| Data & Storage | PostgreSQL (Relational), Redis (Caching/Queues), MongoDB (Logs) |
| Backend Core | Node.js (Event Loop), Express, Microservices, WebSockets |
| Tools | Linux (Bash/Shell), Git, Postman |
