Subjective evaluation is repetitive, while fully automated grading can remove faculty control.
AI Product · Product Analytics · GenAI
Product thinking,backed by code.
I turn messy workflows into practical products using research, analytics and AI.
B.Tech CSE (AI & Data Science) · PGDM Finance & Business Analytics

Case study
Project Z
Professor-first AI evaluation for subjective answers.
Built exam setup, LMS ingestion, answer mapping, AI evaluation, professor review, re-evaluation and final export.
- 01Exam + rubric
- 02LMS responses
- 03Mapping
- 04AI first pass
- 05Professor review
- 06Final export
Product decisions
Human judgment stays separate
AI suggestions and final decisions are stored separately.
Design for failure
Retries and recovery keep work recoverable.
Selected work
A few more things I’ve built or studied.
Placement Cell Workflow Automation
Automated placement-response processing and validation across repeated student submissions.
Reduced repetitive processing by approximately 50–60%.
Google Sheets · Data Cleaning · Workflow Automation
OpenAI Buddy
Authenticated college assistant with managed knowledge, caching, rate limiting and LLM fallback.
Provider diagnostics capture reliability, latency, failures and fallback behavior.
Next.js · Supabase · PostgreSQL · LLM APIs
OpenCounterfactual Learning in Customer Churn
Customer churn research under class imbalance with counterfactual explanations.
Compared predictive modeling with Wachter's Method, Growing Spheres and a Genetic Algorithm.
Python · Machine Learning · Explainable AI
OpenAbout
I sit between product questions and technical implementation.
My B.Tech in AI and Data Science built the engineering base. My PGDM in Finance and Business Analytics added product, business and analytical context.
I enjoy understanding a workflow, finding where it breaks down, and then deciding whether research, analytics, automation or AI is the right tool to improve it.
Experience
Research, product thinking and technical communication.
Benchmarked 18 SaaS competitors and analysed 10 products, then translated findings into interface and product recommendations. Selected recommendations were adopted in the product interface.
Founder & Technical Educator
Premier Programmer
Published 165+ Python tutorials, 40+ hours of content, 750+ coding questions and 25 hands-on projects.
Capabilities
Tools that support the work.
Product
Product Research · UX Research · Competitive Analysis · Figma
Analytics
SQL / PostgreSQL · Python · Power BI · Excel · Data Cleaning
AI + Build
Generative AI · LLM APIs · Next.js · TypeScript · Supabase · Workflow Automation
Education
Technical foundation with business and analytics context.
IMS Ghaziabad
PGDM · Finance & Business Analytics
Galgotias University
B.Tech · CSE (AI & Data Science)
Evergreen Public School
Class XII · CBSE
St. Xavier's High School, Patna
Class X · ICSE
Selected achievements
Regional Qualifier, AIMA Business Simulation
₹50,000 B.Tech Merit Scholarship
Contact
Let’s build useful products.
Open to AI Product, Product Analytics, Technical Product, AI Solutions and GenAI-focused roles.
Internship certificate