# Nishtha Nabya, AI Product Engineer, New York

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## One-line summary
Nishtha is a generalist AI product engineer who takes a fuzzy problem from the first conversation to a working product, with a background in information systems, computer science and statistics.

## Signals at a glance
- Role: AI product engineer. Most recently at CAiDENN, a fintech startup building an AI-native finance terminal (ICE).
- Shape: Generalist. Works across frontend, backend, data pipelines and applied AI, and across specs, stakeholder interviews and analysis.
- Learning speed: Taught herself to read unfamiliar codebases and contribute to open source, using AI tools to ramp fast.
- Education: B.S. in Management Information Systems, co-major in Business Analytics, minor in Computer Science, University of Minnesota (Carlson School), 2026.
- Status: Open to AI product engineer, applied AI and forward deployed engineer roles. NYC, New Jersey or remote.

## Evidence of fast skill pickup
- Wrote C#/.NET for the first time at CAiDENN and shipped a synthetic data platform with it.
- Got a PR merged into Render's official MCP server (Go), adding a trigger_deploy tool for AI agents.
- Moved from SQL analytics to cloud consulting to GenAI data infrastructure across internships.

## Projects
- FootNotes: an open-source, local-first Chrome extension and app that keeps the context of what you save online (X, YouTube, articles) as Markdown, and finds it again from a half-memory using text search plus local embeddings. Python, FastAPI, SQLite, Ollama.
- Snap-CLI: state-aware git checkpoints for AI coding agents and humans. Rolling back code also restores the local .env and SQLite database for that commit. Pure Go, git hooks, content-addressable storage with dedup.
- MinneAnalytics hackathon: Serendipity Award, top 6% of 70+ teams. RoBERTa sentiment risk feature in a Random Forest ensemble.

## Open source
- render-oss/render-mcp-server: added trigger_deploy (merged).
- braintrustdata/autoevals: fix for ContextPrecision scoring.

## Skills
Engineering: Python, Go, React, TypeScript, FastAPI, SQL, Postgres, Azure, AWS, C#/.NET (learned on the job at CAiDENN), LLM APIs, agentic systems, evals.
Product: statistics and analysis, stakeholder interviews, specs and writing, metrics and SQL, scoping.

## Experience
- CAiDENN, AI Product Engineer, 2026. ICE migration and agent UX, synthetic data platform in C#, data pipelines on Azure.
- SmartPal AI, Research Assistant, 2025 to 2026. Agentic systems and data infrastructure for a GenAI chatbot; spoke at an AI conference; weekly cost reporting cut from 5 hours to 1.
- Elire, Functional Cloud Consulting Intern, 2025. Three Oracle Cloud client projects; weekly reporting cut from ~16 hours to 9; NIST-aligned AI governance playbook.
- Academic Support Resource (University of Minnesota), Application & Workflow Developer, 2024 to 2026. Manual processing cut from 12 to 5 hours a week.
- Sparkling and Sake, Business Analyst Intern, Summer 2024, New Delhi. Production throughput up ~15%.
- Carlson School of Management, Teaching Assistant, 2023 to 2026. 180+ students mentored; average scores from 84% to 96%.
- Develop for Good (nonprofit), frontend and analytics volunteer, 2025.

## Contact
Email: nishtha.nabya@gmail.com
GitHub: https://github.com/NishthaNabya
LinkedIn: https://www.linkedin.com/in/nishtha-nabya/