I'm a Data & AI Engineer and full-stack generalist who likes owning a problem end-to-end — from raw, messy data all the way to the lakehouse, the model, and the product people actually use.
- 🔭 I build autonomous Python pipelines, PySpark / Databricks lakehouses, and RAG / LLM systems — then ship them as full-stack apps with Next.js & FastAPI.
- 🧩 Comfortable wearing the Data Scientist · Data Engineer · AI/ML · Analyst · Full-Stack hats — I pick up whatever the problem needs.
- 🎓 Finishing B.Tech CSE (Class of 2026).
- ⚡ I default to free, production-grade tooling — most of my projects run at ~$0/month.
- 📫 Open to Data / AI / Full-Stack roles — let's talk: shaansatsangi@gmail.com
💬 VouchRank · ▶ Live Demo
Multi-tenant, white-label reputation + AI-search-optimization SaaS: a compliance-first review funnel (FTC / Google 2026 review rules), LLM-visibility audits (ChatGPT · Gemini · Perplexity), embeddable social-proof widgets, Stripe subscriptions + billing portal, and Supabase Postgres Row-Level Security tenant isolation across 12 Deno edge functions — fully clickable live in demo mode. |
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Fully autonomous, ~$0/month pipeline that researches news, writes & narrates scripts in a near-human voice, generates AI B-roll, auto-edits a captioned cinematic vertical video, and publishes daily YouTube Shorts — one Telegram tap is the only human input. |
Personal watch-history analytics product built on a Databricks medallion lakehouse (Bronze → Silver → Gold) over Delta Lake, served through a deployed FastAPI + Next.js dashboard. |
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End-to-end CRM analytics platform: Python ETL/ELT into a star-schema PostgreSQL warehouse, orchestrated with Airflow, validated with dbt tests, and surfaced as a 5-page Power BI executive dashboard. |
Local-first AI voice assistant with wake-word barge-in, online/offline STT, semantic memory, PDF RAG, tool-agent routing, reminders, and interruptible TTS — privacy-first, runs on your machine. |
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AI-powered GitHub intelligence platform: a deterministic two-pass engine turns any profile into an explainable 100-point engineering score + shareable "GitHub Receipts" — the AI writes the narrative, never the numbers (0 hallucinated scores). GitHub OAuth, Neon Postgres, Upstash cache & a nightly refresh cron — live in production at skillissue.tech. |
🛡️ Sahaara
Safety-focused full-stack app with gesture-based emergency SOS, MapLibre live location sharing, trusted contacts, and Twilio SMS alerts — built for fast, reliable real-world response. |
More: Face Sort Studio (local CV photo organizer) · Cog & Cosmos (Svelte/PixiJS idle game) · and 15+ more repos →
🗄️ Data Engineering & Analytics
🤖 AI / ML
💻 Full-Stack
☁️ DevOps & Cloud
- 🎬 Running AI Reel Factory — a fully autonomous, ~$0/month pipeline that publishes daily Shorts to @butitmatters.
- 🚀 Shipped Skill Issue — live at skillissue.tech, scoring GitHub profiles and generating GitHub Receipts.
- 🧠 Evolving JARVIS-PY into a fuller local-first assistant — RAG, semantic memory, tool-agent routing.
- 🤝 Open to Data Engineering · Data Analytics · AI/ML · Full-Stack roles.
| Certification | Issuer | Year |
|---|---|---|
| Introduction to Model Context Protocol (MCP) | Anthropic | 2026 |
| Data Science, AI/ML Engineer & Data Engineer | micro1 | 2026 |
| Fundamentals of Machine Learning | Microsoft | 2023 |
| Fundamental AI Concepts | Microsoft | 2023 |
| 🥈 2nd Place — IEEE Debate Competition | IEEE | — |
- 🚀 Pushed 1 commit to Shaan-alpha/Skill-Issue (Jul 18, 2026)
- ⚡ Opened PR "fix(analyze): harden scoring-engine GraphQL calls against RESOURCE_LIMITS (complete SKILL-ISSUE-BACKEND-4)" in Shaan-alpha/Skill-Issue (Jul 18, 2026)
- ⚡ Opened PR "chore(vercel): stop dependabot preview deploys (match nested branches with ** globstar)" in Shaan-alpha/Skill-Issue (Jul 18, 2026)
- ⚡ Opened PR "fix(analyze): survive GitHub GraphQL RESOURCE_LIMITS_EXCEEDED on whale accounts (v1.0.3)" in Shaan-alpha/Skill-Issue (Jul 17, 2026)
- 🚀 Pushed 1 commit to Shaan-alpha/Portfolio (Jul 15, 2026)
| Visitor | Message | Date |
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| 👋 Want to appear here? Sign the guestbook above! | ||
I like turning messy inputs into useful outcomes — data platforms, AI systems, and products that ship.
Always happy to talk data, AI, and building things.



