I am a Computer Science and Engineering undergraduate at ITER (Class of 2027), specializing in building scalable backend architectures and robust machine learning pipelines. My technical focus lies at the intersection of data engineering, artificial intelligence, and distributed systems. I am passionate about writing clean, low-overhead code and developing end-to-end solutions for complex, real-world problems.
| Project | Description | Stack |
|---|---|---|
| aegis-extract | A privacy-preserving, localized NLP pipeline for extracting structured clinical entities from unstructured medical documents using OCR and constrained LLM generation. | Python, Docker, Tesseract, FastAPI |
| demandsense | An end-to-end retail inventory forecasting pipeline leveraging deep learning and time-series models to predict supply chain demands. | PyTorch, Prophet, Streamlit |
| forge-track | A low-overhead, Python-based background system daemon designed for tracking active PC gaming sessions with automated data logging. | Python, SQLite, Daemon |
Languages & Core:
Machine Learning & Data Science:
Infrastructure & Tools:
