AI Analyst / LLM Trainer
Performed large-scale LLM evaluation and annotation to improve model reasoning and accuracy for clients including Meta and Google.
A fresh Computer Science graduate who enjoys turning ideas into clean, functional web apps — curious, detail-driven, and always shipping something new across the stack.

Performed large-scale LLM evaluation and annotation to improve model reasoning and accuracy for clients including Meta and Google.
Developed and customized Odoo ERP modules in Python and XML, focusing on workflow optimization and maintainable architecture.
Assisted in teaching Programming Fundamentals and OOP to 50+ students, running weekly labs and one-on-one support sessions.
Production-ready, strictly type-safe Proof-of-Work blockchain engine published on PyPI with pluggable SQLite/Memory storage.
Decoupled peer-to-peer ledger to immutably record shared transactions, featuring Google OAuth 2.0 and strict CORS security.
Computer vision application utilizing DeepFace to autonomously cluster and track identities across large-batch photo datasets.
Retrieval-Augmented Generation chatbot with an end-to-end semantic search pipeline for analyzing custom documents.
Secure number plate recognition system with OCR, zero-trust principles, role-based access, and per-user OCR history.
Traffic sign classification using a CNN on the GTSRB dataset with image upload and confidence scores.
Core CS, ML, systems, and a lot of late nights building side projects that shaped this folio.
"Ship the sketch. Polish later."— margin note