AI and software engineer, currently pursuing an MSc in Computer Science with a specialization in Artificial Intelligence. Interning as an AI Engineer at b(x) Theory.
Completed several technical research projects centred on topics like LLMs, including fine-tuning and evaluation, reinforcement learning, computer vision, and AI debiasing.
Main skills and tools: Python, Google ADK, GCP, AWS, LLM APIs, PyTorch, PHP.
Previously worked in a diverse array of technical roles: Software Engineer, Full-stack Developer, IT Support Specialist, and Professor. Seeking opportunities in AI/ML where I can grow my skills and make meaningful contributions.
TCGPDeckGenie designs Pokémon TCG Pocket decks from natural-language briefs, weighing card synergy against standalone utility and validating format rules locally. The project includes TCGdex-backed local caching, a cost-aware two-stage Gemini pipeline, solo-battle counter decks, Pydantic structured output, and a Click CLI.
GroundedDoc answers questions over document collections with checkable citations, conflict awareness, and honest refusal when evidence is missing. The project includes a privacy-policy analysis use case, FastAPI service, browser extension, MLflow evaluation, and Cloud Run/GCP deployment path.
Technical research project exploring LLMs for optimization.
Agentic AI project focused on planning exam study workflows.
Reinforcement learning project focused on puzzle-game environments.
Proficient with the following technologies:
Received two Hero awards for exemplifying company values;
namely Taking Responsibility and Going Beyond the Expected.
Nominated for Grad of the Year by the Graduate Program Leader and two of my managers.
Awarded for graduating with the highest mark in my degree program.
Awarded in recognition of my leadership qualities and teamwork skills.