London, UK
About
I’m Orcas, a Computer Science graduate in the UK. I build user-focused software and applied AI projects — especially systems that connect NLP to real product experiences (search, ranking, and recommendations).
What I’m looking for
Graduate / Early Career roles in Software Engineering, Applied ML, or Data-driven Product — where I can ship production-quality features, work with real data, and keep building end-to-end systems.
Strength
End-to-end ownership
From data + logic to UI and deployment.
Interest
NLP + Search/Ranking
Practical applied AI with measurable outcomes.
Location
UK (London-friendly)
Open to hybrid teams.
Highlights
- Built an AI Shopping Assistant with intent classification, attribute extraction, fuzzy search, and ranked recommendations.
- Comfortable across backend logic, data pipelines and lightweight UIs to deliver usable products.
- Strong foundation in Python, JavaScript/TypeScript, SQL and practical experimentation.
Core skills
Languages
Python, JavaScript/TypeScript, SQL (plus Java fundamentals)
AI / Data
Transformers/NLP, classification, data cleaning, evaluation, experiment mindset
Engineering
APIs, modular architecture, Git, deployable web apps (Next.js), cloud basics (Workers/Vercel)
Experience
Bank of China (UK) — Technology Intern
Internship
- Supported reporting and operational workflows using structured data and automation-focused thinking.
- Strengthened attention to detail, communication, and working with stakeholders under deadlines.
Independent Projects
Portfolio
I actively build and iterate on practical projects that combine AI + software engineering — with clean READMEs, reproducible setup, and deployable demos where possible.
Education
- MSc Computer Science — Queen Mary University of London
- BSc Computer Science (2:1) — University of Birmingham
How I work
I like building things that are easy to run, easy to review, and easy to extend. I prioritise clarity: clean architecture, readable documentation, and measurable outcomes.