Headline

AI Engineer @ NCCO | LLMs · RAG Pipelines · LangChain · Computer Vision | B.Tech AI & Data Science

About

AI Engineer turning ideas into production-grade intelligent systems. I'm Abuzar Khan — an AI Engineer currently working at National Chemical Company (NCCO), Saudi Arabia, where I build and deploy AI solutions at the enterprise level. I hold a B.Tech in Artificial Intelligence & Data Science from Marathwada Institute of Technology (MIT, Aurangabad). My journey has taken me from building real-time Computer Vision models in college to shipping LLM-powered applications for enterprise clients across industries. I've had the opportunity to work at companie like NRB Bearings (Software Engineer Intern), which sharpened my ability to translate complex data problems into clean, scalable solutions. What I build & work with: 🔹 LLMs & Generative AI — LangChain, RAG Pipelines, Prompt Engineering, Vector Databases 🔹 Computer Vision — Real-time detection & inference systems 🔹 Machine Learning — Model training, evaluation, and deployment 🔹 Data & Analytics — End-to-end data pipelines, analysis, and visualization 🔹 Stack — Python, LangChain, Vector DBs, and cloud-based deployment One of my early signature projects was a real-time facial expression detection model with an interactive web interface — combining computer vision with a user-friendly front end to demonstrate the practical potential of AI in human-computer interaction. I'm driven by a simple belief: AI should solve real problems, not just look impressive on paper. Whether it's optimizing an industrial process or enabling smarter decisions through data, I focus on impact. 📌 Open to collaborations, freelance AI projects, and conversations around LLM products, RAG systems, or Computer Vision. 📬 Reach me at: abuzarkhan.ip123@gmail.com 🌐 Portfolio: khansahab2.github.io/profilewebsite/index.html

Location

Aurangabad

AI stack

antigravity

claude

codex

gemini

langchain

openai

Work experience

Freelance AI Engineer at National Chemical Company | NCCO, Mar 2026 - Sep 2026 · 6 mo, Saudi Arabia, ⚫ Built an RAG-based chatbot for employee training within the organization, which enabled question and answer sessions for onboarding purposes based on company policies and internal knowledge through LLMs, LangChain, vector embeddings, and document retrieval. ⚫Created an end-to-end pipeline for performing RAG-based document QA tasks reliably, by incorporating document ingestion, text preprocessing, recursive text chunking, embeddings, vector search, context retrieval, and LLM prompt-based generation. ⚫ Enhanced chatbot response quality while lowering the risks of hallucination by performing retrieval optimization, context filtering, and prompt engineering for evaluation of response quality. Skills: LangChain · RAG Pipelines · Prompt Engineering · Vector Databases · LLMs · Python · WordPress · Generative AI

Software Engineer Intern at NRB Bearings Limited, Apr 2025 - Oct 2025 · 7 mos, Aurangabad, Maharashtra, India

Education

Bachelor of Technology - BTech, Artificial Intelligence, data science, MIT Engineering College, Satara Road, Aurangabad, Maharashtra, India

Maulana Azad Junior College

Public links

github: https://github.com/Khansahab-ai

khansahab-ai.github.io: https://khansahab-ai.github.io/profile-website/