Software Engineer & Aspiring Founder · London
I build things at the intersection of AI and the real world, from compliance frameworks at fintech labs, to event-driven architectures at Adobe, to AI-powered startups I founded from scratch.
I moved to the UK at 17, alone, with no support network, no English, and no technical background. What I did have was one unshakeable determination: to build my own venture in tech and impact as many people as possible.
Since then, I've taught myself the language, the craft, and the industry from the ground up. I broke into big tech during my bachelor's degree, moved across three cities in the UK, and am now wrapping up a Master's in Computer Science.
Along the way I mentored women in tech, co-founded two startups, and became someone who moves fluidly between engineering, research, and leadership. At the core of all of it is a deep, stubborn passion for problem solving, and a belief that where you start has nothing to do with where you end up.
Leading a study on prompt sensitivity and its effects on LLM reliability in regulated financial environments. Building an automated testing framework that evaluates multiple agents, OpenAI, Claude, under controlled prompt variations, generating an auditable, reusable dataset for financial use cases.
Built a Backstage plugin in React/TypeScript and integrated it into Adobe's developer portal. Used AsyncAPI to auto-generate standardised documentation across 4,000+ Kafka topics, cutting manual documentation effort by 80%. Collaborated directly with the director to unblock technical decisions across UX, Product, and Engineering.
Led a team of 8 developers to build an OOP-based abstraction layer in C++, replacing third-party engines while maintaining Windows and macOS compatibility. Reimplemented Atari Centipede and 5+ other games to validate the architecture. Received an Honourable Mention for technical innovation and delivery impact.
Conducted market research on consulting trends to identify content gaps, then developed data-driven event themes that raised engagement by 15%. Closed gaps in emerging consulting topics through structured programming.
A multi-agent IDS where specialised agents monitor different attack types with agent-specific knowledge bases, static, dynamic, and reinforcement-updated. A confidence-based collaboration mechanism improved detection accuracy by 30% over a single-agent baseline.
Cleaned 83,000+ citizen-reported seismic records and built a React dashboard with three interactive views, maps, time-series, and comparison across 19 neighborhoods, to speed up damage pattern analysis during crisis response.
A mobile application for tracking bird-watching trips with photo uploads, map-based location views, and sighting records. Implemented in both Kotlin and React, with SQL and Firebase for offline-first sync and cloud upload.
An ongoing research project building an automated testing framework that generates controlled prompt variations and evaluates sensitivity across multiple LLM agents. Creating a reusable, auditable dataset for financial compliance use cases.
My research lives at the intersection of prompt engineering and large language model reliability. I'm building an automated framework that generates controlled prompt variations and measures how sensitive different models are to them, with OpenAI and Claude among the agents under test, turning a fuzzy, hard-to-pin-down problem into something measurable and auditable.
BELLE is an AI-powered foundation matching engine that sits between product discovery and purchase across brands. Computer vision and personalised skin tone analysis eliminate the guesswork behind costly returns and lost conversions.
The face consumers see. Scan your skin, get matched to the right foundation across any brand, in seconds.
The technical moat. Retailers and brands plug BELLE into their existing platforms, no rebuild required.
The long-term flywheel. Every match builds a proprietary dataset that gets more valuable with scale.
Build & Bloom is a free coaching academy I founded to help women in STEM grow with confidence, turning ambition into a clear, well-told story that lands interviews and opportunities.
Provided free one-to-one and small-group tutoring to 100+ students from diverse backgrounds, including autistic students and children with Down syndrome, adapting to individual learning needs.
Welcomed 200+ participants and spectators, managed event check-ins, and supported smooth operations throughout one of the UK's largest university sports competitions.
Open to research collaborations, engineering roles, advisory conversations, and anything that sits at the edge of what's technically interesting.
Have a project in mind or just want to say hello?