# ─────────────────────────────────────────────
# paarth_gala.py
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class PaarthGala:
role = "AI Engineer & Full Stack Developer"
degree = "AI & Data Science Undergrad — Mumbai"
mantra = "Ship first. Theorize later."
building = [
"MCP servers with institutional repo memory",
"Multi-agent systems (LangGraph + CrewAI)",
"RAG pipelines that don't hallucinate in prod",
]
shipped = [
"GitHub PR Context MCP → repo memory for AI",
"Aletheia → misinformation detection",
"Bloomberg-Quant → AI fintech platform",
"NSE Telegram Pipeline → 99%+ uptime",
"NarrativeSignal → unstructured → insights",
"Resume Analyzer → semantic JD matching",
]
research = "Fellow @ SimPPL · Mozilla · MIT + NYU collab"
# we should talk → [email protected]| PROJECT | WHAT IT DOES |
|---|---|
| GitHub PR Context MCP | Local RAG — gives Cursor & Claude memory of your repo's entire PR history via ChromaDB |
| Aletheia | Deepfake detection · claim verification · AI-content scoring with explainable risk output |
| Bloomberg-Quant | AI quant research — backtesting, paper trading, portfolio simulation, LLM investment insights |
| NarrativeSignal | Converts unstructured data into structured narratives. Trend + anomaly detection at scale |
| Resume Analyzer | Semantic skill matching vs JDs — extracts, scores, and suggests improvements |
| TripSync | Campus ride-matching + student collaboration. FastAPI backend + mobile frontend |
NSE News-to-Telegram Automation [Client] Mar – Apr 2026
Real-time financial news pipeline → Telegram
NLP signal filtering · 99%+ uptime · prod-grade error handling
CEO & Fellow Researcher [SimPPL / Mozilla] Jan – Jun 2025
Responsible AI research · MIT & NYU collaboration
Open-source tooling for transparent + ethical AI systems
|
|
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|
> built in the dark. shipped at 3am. repeat.
