name: Vaibhav Chavanpatil
role: 3rd Year CSE Student & Software Engineer
location: Karnataka, India
education: B.Tech in Computer Science & Engineering @ KLE Technological University
interests:
- Multi-Agent AI Systems & Orchestration
- Full-Stack Architecture (Next.js 15, React, Node.js, Prisma)
- Applied Machine Learning & NLP
accolades:
- 🏆 1st Place Winner — TCS Technology Day Hackathon (SentimentIQ)
- 🏆 Best Project Award — Web Technology Course (ExpenseIQ)
- 🌍 Competitor — Stanford / WiDS Global Datathon 2026
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Multi-agent retail customer sentiment analysis chatbot with privacy-first PII masking, 2-tier sentiment classification, and empathetic conversational feedback. |
Sleek personal finance and budget tracking dashboard with interactive visual analytics and offline client-side data synchronization via IndexedDB. |
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Milestone-based freelance escrow & evidence-based dispute resolution marketplace featuring FSM lifecycles, RBAC security, and ACID ledger balance conservation. |
Centralized academic and student collaboration platform for syllabus syndication, resource sharing, and sub-150ms hierarchical department search. |
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Advanced predictive machine learning modeling and survival analysis for the global Women in Data Science (WiDS) Datathon 2026 on wildfire risk. |
Universal AI agent toolkit for hackathons: automate problem discovery, technical specification, validated execution, and demo delivery across coding agents. |
