Practical. Adaptable. AI-Fluent.
I'm a graduate software engineer driven by a passion for building impactful digital solutions.
My approach combines rigorous technical standards with creative problem-solving. From architecting high-performance trading simulators to improving AI-driven interview platforms, I focus on delivering measurable results. On TradeX and TradeGo — my paired Next.js and Go/AWS trading simulators — I used AI tools to scaffold boilerplate and speed up prototyping, then reviewed and refactored every piece myself to keep test coverage and code quality intact.
Outside of that, I have gained international experience, working as an intern in Brunei and London, collaborating with teams from diverse cultural backgrounds and experience, shaped how I communicate and work in multicultural, cross-functional teams.
Technical Excellence
Mastery across multiple programming paradigms and modern tech stacks
AI-Fluent
Using AI tools deliberately to accelerate prototyping while maintaining test coverage and code review discipline
Performance Focused
Optimizing systems for speed, reliability, and scalability
Collaborative Spirit
Thriving in cross-functional teams and agile environments
Technical Skills
A comprehensive toolkit spanning languages, frameworks, cloud infrastructure, and data science libraries.
All Technologies
Academic Foundation
University of Southampton
BEng Software Engineering — 2:1 (Upper Second-Class Honours)
Graduated with a rigorous Software Engineering degree, with focus on practical application of computer science principles, algorithms and data structures, software development methodologies, and emerging technologies. Active participant in hackathons and coding competitions.
Key Coursework
Professional Journey
From analytical finance roles to full-stack engineering, building measurable impact at every step.
- Built full-stack features improving AI interview experience, reducing customer churn by 26%
- Implemented PostHog analytics infrastructure for comprehensive feature usage tracking
- Managed features and bug fixes via Jira, ensuring iterative release cycles
- Collaborated with product team to identify and prioritize high-impact improvements
- Reconcile 8,000+ financial transactions monthly, identifying trends and supporting strategic planning
- Clean and integrate multi-department datasets, improving data accuracy by 15%
- Budget preparation and variance analysis, identifying potential savings of 5%
- Create weekly dashboards for management decision-making
- Delivered end-to-end technical support across software configuration, system maintenance, and network troubleshooting in a corporate environment
- Deployed, configured, and maintained operating systems and enterprise software, ensuring system stability, security compliance, and minimal downtime
- Diagnosed and resolved network connectivity issues using tools such as ipconfig, ping, and tracert, reducing resolution time for recurring incidents
- Maintained IT documentation and issue tracking records, contributing to a structured knowledge base that improved troubleshooting efficiency across the team
Featured Work
Showcasing projects that demonstrate technical depth, performance optimization, and real-world impact.
Backend-focused trading simulator engineered for performance — built to benchmark how far a Go order-matching engine can push latency below a traditional Node.js stack. The architectural counterpart to TradeX. Originally deployed on AWS ECS Fargate; now self-hosted on a DigitalOcean Droplet via GitHub Student Developer Pack credits, with Nginx reverse-proxying HTTPS traffic to a containerized Go backend and PostgreSQL instance.
Key Features
- Go order-matching engine achieving 60–75% latency reduction over Node.js
- Self-managed Docker deployment on a DigitalOcean Droplet
- Nginx reverse proxy with free auto-renewing HTTPS via Let's Encrypt
- PostgreSQL running in a dedicated container with persistent volume storage
- Real-time profiling of latency and CPU bottlenecks
A fully deployed crypto trading simulator with live Bybit price feeds, spot and leveraged trading, and real-time portfolio tracking — built to explore how far a modern Next.js stack can go compared to a Go/AWS architecture.
Key Features
- Live price feeds via Bybit WebSocket with chunked subscriptions
- Spot and leveraged trading (2x–50x) with real liquidation engine
- Real-time portfolio P&L, trade history, and performance analytics
- Google OAuth and email authentication via Supabase
- Fully responsive across mobile, tablet, and desktop
Java Query Optimiser for SJDB
Feb 2026 – Apr 2026
Cost-based query optimizer implementing relational algebra cost estimation. Uses the Visitor pattern for traversing operator trees and finding optimal execution plans.
Key Features
- Cost-based query estimator using Visitor pattern
- Relational algebra cost estimation for SELECT, PROJECT, JOIN
- Left-deep join optimizer for lower-cost execution trees
- Immutable operator trees with correctness validation
- Comprehensive test suite for query optimization
An AI-powered full-stack web application that optimizes healthy eating within a budget by combining real-time grocery pricing with nutritional data.
Key Features
- Designed and built the full frontend UI/UX using Next.js, focusing on intuitive budget and nutrition tracking flows
- Led ideation and concept development around the themes of Financial Health and Health, Fitness & Wellness
- Integrated real-time grocery pricing and nutritional data from public APIs to power budget-aware meal recommendations
- Implemented user authentication and database management using Supabase
- Deployed and hosted the application on Vercel with continuous deployment
More projects available on GitHub
View All ProjectsLet's Connect
Have a project in mind or want to collaborate? I'm always open to discussing new opportunities.
Get in Touch
London, United Kingdom