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Hi, I'm

Gitesh Kumar

I build

I build and deploy production-grade LLM systems, agentic AI workflows and industrial data pipelines. With 4+ years at Hindustan Petroleum working with SCADA and ERP systems, I understand both the factory floor and the AI stack needed to make sense of it. My recent work combines structured data engineering with natural language AI agents which is deployed live, containerised with Docker and secured with zero-trust networking.

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Featured Projects

Bringing Academic Research to Industrial Practice

Industrial Agentic AI System (Predictive Maintenance & Financial Risk Engine)

A full-stack industrial data pipeline with dual-mode AI agents, zero-trust security and a live deployed dashboard which translates raw IoT telemetry into real-time financial risk insights.

Python 3.12 LangChain Groq Ollama/Llama-3 +5

Code Live Demo

Completed

Explainable AI for End-of-Line Inspection

Industrial defect detection using YOLOv8 and XAI (LRP, Grad-CAM, LIME) to ensure transparency in manufacturing.

Python PyTorch YOLOv8 Captum +2

Code

Enhancing Cybersecurity Intelligence: A RAG Framework for Fine-Tuned LLMs

Master’s Thesis: Developing a synergetic RAG and Fine-Tuning framework to eliminate hallucinations in CVE vulnerability analysis.

Llama-2 PyTorch FAISS PEFT/LoRA

Code

Technical Expertise

Tools I use to solve complex industrial problems

AI & Machine Learning

Python

PyTorch

LangChain

Hugging Face

LLM & Agentic AI

Groq

Ollama

Fastapi

RAG / Vector Search

Data & Industrial

SQL

Docker

Git

SCADA / OPC-UA

Deployment

Railway

Linux

OpenZiti

Experience

Sr. Operations Officer (Data & Analytics)

Hindustan Petroleum Corporation Limited (HPCL)

Jul 2017 – Aug 2021

Managed end-to-end industrial data lifecycles for a high-capacity LPG plant. Bridged the gap between legacy SCADA systems and ERP (JD Edwards) to create centralized data models. Architected automated Python-based ETL pipelines, replacing manual reporting and improving production efficiency by 10%. Technical Coordinator for field-testing industrial vision systems for safety-critical leak detection.

Education

M.Sc. in Elektromobilität-ACES

Friedrich-Alexander-Universität Erlangen-Nürnberg

Oct 2022 – Mar 2026

Specialization in AI and Sustainable Production Technology. Master’s Thesis: Developed a Retrieval-Augmented (RAG) framework for fine-tuned LLMs (LLaMA-2) to automate vulnerability analysis in cybersecurity. Mini Thesis: Implemented XAI techniques (Grad-CAM, LIME) for YOLOv8-based industrial quality inspection at the FAPS Lab.

B.Eng. in Mechanical Engineering

PEC University of Technology, Chandigarh

Jul 2013 – May 2017

Get In Touch

Open to Industrial AI, LLM Systems and ML Engineering roles

Connect

I am always interested in discussing new challenges in Agentic AI, data engineering or systems optimization. Whether you are looking to hire, collaborate, or simply exchange ideas, feel free to reach out!

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