// SOFTWARE ENGINEER · CURIOUS BUILDER
I’m Vignesh. This is my working archive: selected projects, technical notes, and the thinking behind the things I make.
My first verified AI and backend project. The public record starts before the first endpoint, so progress stays honest.
Defining the smallest working flow: upload a résumé, extract its text, return structured candidate data.
Create the repository, health endpoint, upload validation, and the first tested parsing service.
What I built, learned, solved, and will do next. Each update is dated and linked to evidence as the work grows.
Created a searchable portfolio and added a daily engineering journal.
Small, dated updates make progress easier to verify than broad skill claims.
Separated completed work, active work, and planned projects so the portfolio stays honest.
Create the FastAPI foundation for the AI résumé parser.
Case studies that cover the goal, constraints, decisions, and lessons. They show more than the final screenshot.
A docs-inspired portfolio designed to make projects and learning notes easy to browse, search, and maintain.
Read the build notes ↗Replace this card with a real project: the problem, your role, key choices, measurable outcome, and what you would improve.
Ready for your project details →Short, useful write-ups from things I have studied, built, debugged, or finally understood.
A simple format for turning rough discoveries into knowledge I can find and reuse.
What navigation, hierarchy, and small interface details teach us about usable software.
This archive grows with the work. New notes will live here as short, searchable references.
This portfolio is both proof of work and a record of progress. I use it to show how I approach problems, what I am exploring, and how my thinking changes over time.
Good engineering is easier to trust when the reasoning is visible. That is why every project here makes room for tradeoffs, dead ends, lessons, and polished results.