Hi, I'm Hibza Kudari.
I design and ship LLM-powered apps, RAG pipelines and multi-agent systems. Currently exploring the frontier between humans, models and interfaces — one of four hats: |
About Me
A futuristic snapshot of who's behind the terminal.
AI & ML undergraduate · Builder · Researcher
I'm an Artificial Intelligence and Machine Learning student at St Joseph Engineering College, Mangalore. My playground is the intersection of LLMs, retrieval systems and human-centred interfaces — I love turning messy real-world problems into clean, intelligent products.
From RAG chatbots and multi-agent resume analyzers to OCR-driven KYC and full-stack ticketing systems, I ship across the stack — and I care deeply about how the experience feels, not just how it works.
What I'm exploring now
- Multi-agent orchestration with local LLMs
- Production-grade RAG with FAISS + reranking
- OCR pipelines for noisy, scanned documents
- Designing AI UX that feels alive, not robotic
Skill Matrix
Calibrated across AI research, engineering and product craft.
Artificial Intelligence
Machine Learning
Development
Data & Tools
Selected Projects
A snapshot of what I've shipped — scroll through to explore each build.
LangChain RAG PDF Assistant
LangChain-powered Retrieval-Augmented Generation (RAG) chatbot that enables semantic PDF search, document-grounded question answering, AI-generated summaries, and source-backed responses using FAISS vector retrieval and MiniLM embeddings.
Multi-Agent AI Resume Analyzer
ATS scoring, skill-gap analysis and interview question generation via LLM-driven job requirement extraction.
Aadhaar KYC System
Full-stack KYC verification with OCR-based Aadhaar extraction and face recognition matched against the card photo.
Digital Image Processing Simulator
Interactive learning platform with live simulations of DIP concepts — 1st place, 6th-semester PBL competition.
ScanPayGo — Smart Bus Ticketing
Wallet-based booking with QR/NFC validation, deposit-driven booking, refunds and admin control.
Experience Timeline
A holographic record of the milestones so far.
B.E. in Artificial Intelligence & Machine Learning
CGPA 8.65 · Specialising in LLMs, RAG systems, computer vision and multi-agent AI.
1st Place — PBL Competition
Awarded for the Digital Image Processing Learning Simulator — interactive DIP education platform.
Independent AI Research & Builds
Shipping LLM-powered apps: RAG chatbots, multi-agent resume analyzers, OCR + ML pipelines.
Pre-University · PCMB
Scored 89% with a focus on math and computing fundamentals.
Let's Connect
Reach out on any of these channels — I usually reply within a day.