Hackathon Portal
AI Tinkerers - New York City
Final round winners have been announced. View Results
Team

Team Claude

Project Concept

No description has been added yet.

Entry

Status: Submitted

Last saved: February 21 at 5:59 PM EST

Team Roster

You must be registered for the event to view the team message board.

Namit Surana Team Lead RSVP Approved

Student at NYU
Full-stack architecture and implementation. Built the CrewAI multi-agent backend with Anthropic Claude Sonnet 4 powering three specialized agents (Code Reviewer, Pitch Analyst, Synthesizer). Designed the parallel execution pipeline with FastAPI + SSE streaming.
Namit Surana is a Project Developer at SKYOVI, with a background in Computer and Information Sciences from New York University. They are seeking full-time work and are open to introductions.

Shweta Shekhar RSVP Approved

student at New York University
Implemented the Gemini video analysis tool using raw REST API. Built the React frontend with the real-time pipeline visualization (SVG animated paths, Framer Motion transitions). Handled API design, Pydantic schema validation, and JSON repair logic.
I’m a software engineer and MS Computer Science student at NYU with 4+ years of industry experience building production systems in supply chain and enterprise software. I enjoy working at the intersection of AI, developer tooling, and system design especially tools that improve how humans reason about complex codebases. I’ve built and shipped backend services, data pipelines, and AI-assisted workflows, and I’m particularly excited about using large models like Claude to augment real engineering judgment rather than replace it.
AI-assisted software engineering, developer agents, code intelligence, long-context reasoning, safe refactoring, test generation, ML-powered developer tools, and enterprise AI adoption. I’m especially interested in collaborating with teams building AI-native workflows, infra, or internal tools where correctness and trust really matter.
I’m currently building an intent-aware codebase steward using Claude Code an agent that understands not just what code does, but why it exists. It ingests repos, tests, docs, and commit history to infer implicit contracts, predict refactor risk, and generate behavior-preserving tests before changes. I’m also experimenting with agent workflows for code review, test synthesis, and safe refactoring in legacy systems.

Kerr Tan RSVP Cancelled

Data Science Student at New York University
N/A
Master's student in data science at NYU, building AI product with data science/machine learning expertise
Interested in data science fields
Educational autograder with handwritten responses detected, without a deterministic bounding box for detection