Evidence Hub — every claim, proven
See the real proof behind every product decision.
I'm a Technical Product Manager and Ph.D. engineer. I design, build, secure, and test real software products — completely on my own. Every decision is explained clearly on this site, so you see proof, not just claims.
37
API routes in production
ConfirmHai, FastAPI
~24
Automated pytest suites
Kept green per change
2
Production SaaS products
Shipped solo, end to end
8+ yrs
EdTech, at scale
Chegg, CMS/LMS ecosystems
Ph.D.
Mechanical Engineering
NIT Kurukshetra, 9.5/10 CGPA
This isn't a portfolio of screenshots. It's structured like the internal docs I actually write for my own products — problem framing, architecture diagrams, trade-offs considered and rejected, security control matrices, and test coverage breakdowns. If you already know what you're looking for, skip straight to a category of evidence instead of reading a narrative.
Flagship products
Two systems, built and shipped solo
Each case study covers the problem, the architecture, the trade-offs rejected, the security posture, and the test coverage — not just the outcome.
PropTech · B2B2C
LiveConfirmHai
Real-time rental availability confidence for student housing
A hyperlocal student-housing platform on FastAPI + SQLAlchemy 2.0 + PostgreSQL — 37 routes in production, security-audited, and validated by ~24 automated test suites.
Read the case study →
Consumer Wellness · B2C · Mobile
ShippedBodhitAI
A deterministic self-reflection engine with zero fake AI
Built on strict Clean Architecture with C#/.NET 8 and MAUI — then audited its own feature surface and cut 5 of 8 features that weren't genuinely honest.
Read the case study →
Background
8+ years in EdTech, then a Ph.D., then two solo-shipped products
Experience
Subject Matter Expert, EdTech & Digital Learning
Chegg India · Apr 2017 – Mid 2025 · Remote
Worked across Moodle and Canvas CMS/LMS ecosystems at large EdTech scale. Applied assessment design, user testing, and gamification thinking to learner engagement, and mentored junior contributors on technical problem-solving and content-review discipline.
Education & research
- Ph.D., Mechanical Engineering — NIT Kurukshetra, 2023 (9.5/10 CGPA). Multi-objective optimization, genetic algorithms, parametric study.
- M.Tech, CAD/CAM — SVNIT Surat, 2016 (8.65/10 CGPA)
- B.Tech, Mechanical Engineering — VIET, Greater Noida, 2014
- Peer-reviewed publication on multi-objective optimization (genetic algorithms) and IoT implementation in e-learning platforms. GATE-qualified 2014, 2016, 2017.
Want the full picture on paper?
Same claims, résumé format.