02 / 06 About , the honest version
An engineer,currently compiling.
I'm Abhinandan , a computer science undergraduate in New Delhi who builds AI products and keeps the receipts. This page is not a list of adjectives. It's how I actually operate, and why.
01 , Where this starts
B.Tech in Computer Science at AKTU, class of 2028. Within one semester it was obvious that my field and my syllabus were moving at different speeds , the curriculum treats machine learning as an elective while the industry treats it as oxygen.
I didn't drop out and I didn't complain. I run two curricula in parallel: the degree for fundamentals that don't expire, and a self-assigned one , build something real, publish it, write down what it taught me, repeat. Everything on this site is output from that second curriculum.
It started, honestly, with certificates , Microsoft and LinkedIn badges in generative AI. They taught me vocabulary and nothing else. The day I understood that difference is the day this record actually begins.
02 , The thesis
Plenty of engineers can build.Far fewer can explain.I'm training both, on purpose.
Communication is a competitive advantage in engineering , not a soft skill, a force multiplier. It's why CareAI exists (an exercise in translating medicine to humans), why I write essays, and why every case study here explains its trade-offs in plain language. The engineers I admire most are the ones whose thinking you can actually follow.
03 , How I work
Ship embarrassingly early
A rough thing at a URL teaches more than a polished thing in a folder. Every project here went public before it felt ready , that discomfort is the tuition.
Show the unflattering number
78.33% accuracy is on this site, with decimals. Calibrated honesty is rarer than competence, and it's the habit I most want to be known for.
Write it down, publicly
Writing is the compile step for understanding. If the explanation doesn't work, the understanding didn't either.
Choose rooms over lines
I pick opportunities by the people they put me next to, not the line they add to a résumé. The line is a byproduct.
Fundamentals don't expire
Frameworks churn every six months. Data structures, systems, statistics and clear writing keep compounding. I invest accordingly.
04 , What I'm becoming
The direction is AI engineering with product taste: LLM systems, evaluation, agents , the layer where models meet actual users. The projects are getting less like exercises and more like products; the writing is getting less like posts and more like a body of work.
I'm early, and I'd rather be honestly early than falsely senior. What I can promise anyone who works with me: momentum you can audit , it's all here, timestamped.
If you're building something where an obsessive learner who ships and writes clearly is useful , the contact page is short.
05 , Now
Updated July 2026 , a stale “now” section is a broken promise