B.E. in Artificial Intelligence & Data Science Engineering at PVG College of Engineering & Technology, Pune, currently maintaining a 9.1 / 10 SGPA.

Full-Stack Developer Intern at WhiskerBond Pvt. Ltd., building production MERN applications for pet and veterinary service workflows.

Passionate about LLMs, Retrieval-Augmented Generation, Vector Databases, and Data Engineering — with a goal of combining clean software engineering with practical, production-ready AI.

const hussain = {
  role: "AI Engineer & Full-Stack Developer",
  currentlyBuilding: ["Production MERN Apps", "AI Meeting Assistant", "VectorSpace Engine"],
  exploring: ["Distributed Systems", "Apache Spark", "AI Infrastructure"],
  funFact: "I enjoy combining LLMs, RAG, and scalable backend engineering."
};

Full Stack Developer Intern — WhiskerBond Pvt. Ltd. (Current)

• Developing MERN-based features for pet and veterinary service workflows — appointment booking, pet profiles, emergency appointments, birthday tracking, payments, and AWS SES email notifications.
• Building responsive interfaces, scalable REST APIs, MongoDB integrations, and secure backend/payment workflows.
• Integrated AI-generated pet summaries, consolidating profile data, medical history, and vaccination records into concise overviews for vets and staff.

MERN Stack Intern — Scalefull Technologies

• Worked across frontend and backend modules using MongoDB, Express.js, React, and Node.js.
• Contributed to API development, database integration, testing, documentation, and debugging.

Python LangChain OpenAI Whisper ChromaDB Streamlit

AI-powered assistant that transcribes, analyzes, and summarizes audio, video, or YouTube recordings. Integrates Whisper (~90–95% transcription accuracy) and Sarvam AI for English/Hindi, with Mistral AI extracting decisions and action items. Includes a RAG chat interface over meeting context via ChromaDB, plus PDF/TXT export.

React Node.js Express.js MongoDB Gemini API OpenTDB API

Full-stack placement prep platform with protected auth, dashboard analytics, DSA tracking, aptitude tests, and an admin dashboard. Gemini-powered resume analysis and mock interview feedback cut resume review time by ~70–80%.

C++ HNSW KD-Tree Ollama REST API

A high-performance vector database built from scratch in C++, implementing HNSW, KD-Tree, and brute-force search — HNSW indexing cuts query latency by ~80–90% over brute-force on large datasets. Ships a fully local RAG pipeline via Ollama and a Web UI with live 2D PCA visualizations.

Python Scikit-Learn Machine Learning

ML classifier for benign vs. malignant tumor diagnosis, achieving 96–98% test accuracy to support early detection.

MongoDB Express.js React.js Node.js

Full-stack appointment booking platform with user, doctor, and admin dashboards, authentication, doctor search, and booking workflows.

Languages

Frontend

Backend & Databases

AI / ML & LLM Tooling

Data & Analytics

Tools