Each project is framed as a short case study: the problem, the approach, and the impact. If a metric isn’t available, I’m explicit about what changed.
A portfolio that communicates my backend + LLM tooling work with a clear narrative and a distinct visual system.
Python library + CLI to download Bing images at scale for dataset creation.
Backtesting + analytics toolkit with LLM-assisted workflows for exploration and reporting.
Prototype board for students using an LPC2148 (ARM7) with low-level drivers in Embedded C and Assembly.
Research on fusing CNN models for multi-class lung disease classification.
Handwritten trip-sheet OCR pipeline (EasyOCR + regex post-processing).
Study on how image filters impact CT/X-ray lung classification models.
