AI + data builder at Illinois Tech (B.S. AI, Dec 2025). I ship end-to-end projects: data → modeling/retrieval → evaluation → UI. I care a lot about trust, latency, and making AI tools usable outside a notebook.
Focus: RAG systems, agent workflows, evaluation/trust scoring, geospatial + time-series analytics
Core stack: Python, Streamlit, FastAPI, LangChain/LangGraph, FAISS, SQL/MongoDB, Docker
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LLM Auditor Pro — trust-scored LLM answers against PDFs/web sources (batch mode + analytics)
Repo: https://github.com/Pranav-here/LLM-Auditor-Pro -
82 Below (Chicago Lead Risk Analysis) — geospatial + statistical analysis to surface seasonal and equity-linked risk patterns
Repo: https://github.com/Pranav-here/Chicago-Lead-Risk-Analysis -
AI/CS Entry-Level & Internship Finder (TechCareers) — job search workspace + ATS tools
Site: https://techcareers.vercel.app/
Repo: https://github.com/Pranav-here/AI-CS-Internship-and-New-Grad-Jobs -
Agentic AI Chatbot Framework — modular LangGraph + FastAPI + Streamlit setup for multi-provider LLM workflows
Repo: https://github.com/Pranav-here/agentic-ai-chatbot -
vArI DriftCast (Oceans Four) — distributed volunteer compute for ocean plastic drift forecasts (Grainger Prize finalist/3rd place)
Repo: https://github.com/LALITH0110/vArI-oceans-four
Site: https://vari-plastic.vercel.app/
AI/ML: RAG, embeddings, reranking, structured extraction, evaluation/guardrails, time series
Tools: LangChain, LangGraph, FAISS, HuggingFace, PyTorch, scikit-learn
Backend/Data: FastAPI, SQL, MongoDB
Product: Streamlit, Next.js, Docker, Git
- Portfolio: https://pranavkuchibhotla.com
- LinkedIn: https://linkedin.com/in/pranavkuchibhotla