Final-year BSc Computing Systems student building tested products across Python, TypeScript, APIs, distributed state, financial workflows, and cloud platforms.
Engineering profile
What I build, stated plainly and without claims the evidence does not support.
I am a final-year BSc Computing Systems student in London, building AI-native products and the backend systems behind them. My work spans APIs, data, cloud runtimes and the interfaces people actually use, with model outputs and data treated as things that must stay inspectable.
Retrieval and model workflows only earn trust when their outputs can be checked, so I design the evidence path alongside the feature. Failure paths, state ownership and tests are part of the design rather than an afterthought, and full-stack breadth is what carries that work through to delivery.
In practice
Across LYTA, PARTHA, KALYX and ReturnProof, that means making the decision path visible, keeping ownership over state clear, and testing failure cases before they become a problem for the user.
Engineering practice
AI systems
retrieval and checked outputs
Backend
services and explicit state
Data & APIs
validated boundaries
Quality & delivery
tests, CI and cloud release
The work is connected: model behaviour, data boundaries, tests and deployment are designed together.
Featured work
Each project states the problem it solves and the stack behind it. Full detail lives on the work page.
What it solves
Keeps a reusable document library across conversations, so users do not upload files and rebuild their context from zero each time.
What it solves
Gives engineers and AI tools one reusable source of truth for a codebase, so architecture, dependencies and technical context do not have to be re-derived for every task.
What it solves
Lets investigators verify whether execution logs were altered, deleted or reordered after a system compromise.
What it solves
Decides which of two disagreeing sources to trust for a returned shipment, field by field, so stock and supplier-credit decisions are defensible.
Record
Verifiable standing, credentials and contribution, stated without embellishment.
BSc (Hons) Computing Systems, Ulster University, London
Expected September 2026
Predicted First Class
Dean's List, Years 1 and 2
Certification
Oracle Certified Foundations Associate, Agentic AI (2026)Completion badge
Oracle SQL ExplorerCore SQL operations, DDL/DML and schema design.
Microsoft Learn completion
Build enterprise-grade tool ecosystems with MCP and Microsoft FoundryProject owner and maintainer of PARTHA, coordinating a small project team.
Student Representative and Staff-Student Consultative Committee member, 2024 to 2026.
Mentored 15+ peers on AI workflows and practical development tooling.
Delivered workshops and seminars for first-year students on settling into university study, ethical AI use and academic integrity, alongside job-search preparation covering GitHub, LinkedIn and open-source contribution.
Technical stack
Tools used across the systems in this portfolio.
Python
TypeScript
FastAPI
React
SQL + PostgreSQL
Cloudflare Workers
Workers AI
RAG + embeddings
Docker
Microsoft Azure
GitHub Actions
pytest + Playwright
Engineering practice: AI-assisted development with Codex and Claude Code, backed by human review, tests and version control.
Experience
One role, described with verified evidence only.
July 2021 to December 2023
Kukreja & Associates, Vadodara, India
Availability
Full-time, based in London, available from September 2026.
Let’s connect
Interested in the work?
Message me to discuss a role or any project on this site.