ADHRAV RAI

Computer Science undergraduate · AI/ML & LLM application developer

Varanasi, Uttar Pradesh, India

@adhrav_rai

GitHub

0 followers

🎓 B.Tech in Computer Science at Madan Mohan Malviya University of Technology · Graduating 2028

About

AI/ML-focused Computer Science undergraduate with hands-on experience building LLM-powered applications, RAG pipelines, and multi-agent systems. Has practical exposure to open-source contribution, document compliance automation, and deploying AI applications.

Experience

AI/ML Intern

WebMobi360

Aug 2026 – Present

Independently developed an LLM-powered document compliance agent that extracts policy rules and evaluates submitted documents against structured compliance requirements. Built the document extraction, policy-rule extraction, compliance validation, and evidence validation pipeline with test documents covering compliant and non-compliant cases.
Open Source Contributor

Freelance

Aug 2026 – —

Fixed false positives in CL-0020, distinguishing credential-shaped quantity/configuration knobs from actual hardcoded credentials while preserving true-positive detection. Added regression coverage for quantity matching and boundary cases, and updated rule documentation; contribution was reviewed and merged upstream.

Education

B.Tech in Computer Science

Madan Mohan Malviya University of Technology

Computer Science · 2024 – 2028

Skills

3 to 6 months

RAG Python

<3 months

SQL Java NumPy Flask Faiss Pandas PyTorch PySpark Pydantic LangChain LangGraph LangSmith TensorFlow scikit-learn

Tools / apps / platforms

<3 months

Git Groq Nginx Docker GitHub Mlflow SQLite Amazon Web Services AWS Hugging Face Transformers

Projects

Multi Agent Scheduling Assistant ↗

LangGraph, LangChain, Python, Streamlit, SQLite, Multi-Agent Systems, Tool Calling, Render

Built a multi-agent scheduling system with intent routing and appointment workflows, plus deterministic tools for validation, relative-date parsing, calendar operations, and persistence.
InterviewPilot AI ↗

LangGraph, LangChain, Streamlit, LangSmith, SQLite, Pydantic

Built a multi-agent interview platform with resume analysis, interview planning, question generation, evaluation, adaptive difficulty, and personalized learning. Implemented Human-in-the-Loop workflows, structured outputs, checkpointing, resume parsing, and tracing.
Customer Support RAG Agent ↗

Python, LangGraph, LangChain, FAISS, HuggingFace Embeddings, Groq, Streamlit

Built a domain-specific RAG pipeline for context-aware question answering with conversational memory, source citations, and separate indexing/inference workflows.

⚽ Extracurricular activities

Google Developers Group (GDG) – Executive Member
AI Spark Society – AI/ML Mentor

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