AI/ML Engineer specializing in Agentic AI, RAG systems, and intelligent automation. M.Tech in Computer Science & Information Security at NIT Warangal. Building the future with LangChain, LangGraph, and autonomous agents.
Passionate about building intelligent systems that bridge AI research and real-world impact.
I'm a Software Developer and AI/ML Engineer with hands-on experience across the full stack of intelligent systems — from low-level PLC programming and industrial simulators to cutting-edge LLM-powered applications and autonomous agents.
Currently pursuing my M.Tech in Computer Science & Information Security at NIT Warangal, I've had the opportunity to intern at Intel Corporation where I architected RAG-based chatbots, optimized ML workflows (reducing training time by 83%), and built autonomous agents using MCP and A2A protocols.
My journey started at Triangle Simulation Pvt. Ltd., where I developed power plant simulators and introduced Python as a first for the company — delivering software 50% faster than projected timelines.
Bengaluru, India
M.Tech CS & Info Security
AI/ML Intern @ Intel
adarshtayde.com
A track record of delivering impact across AI, software engineering, and industrial systems.
From AI workflow automation to industrial simulators — a diverse portfolio of shipped projects.
An AI workflow automation tool inspired by n8n. Features a visual node-based editor for creating complex AI computational graphs with multi-LLM provider support (Groq, Gemini).
A Streamlit-based RAG chatbot enabling users to upload and query PDF/TXT documents. Uses FAISS embeddings and Groq API for LLM-powered responses with chat history management.
A cancelable biometric system using Vision Transformer (ViT) and DNN with random projection techniques. Comparative analysis of fusion strategies at sensor, feature, and decision levels.
Interactive image processing application with OpenCV and NumPy. Features contrast enhancement, noise reduction (Gaussian, Median, NLM), segmentation, and histogram equalization.
Full-scale simulator integrating Siemens & Allen Bradley PLCs, HMIs, RTUs, and SCADA. Used Modbus protocol for communication and ladder logic for PLC programming.
A versatile stack spanning AI/ML, backend systems, and industrial automation.
Strong academic foundation with top honors and research-oriented learning.
Awarded for top rank in the B.E. Information Technology Department, 2022
Secured Second Prize in a competitive university-level chess event, 2019
Assisted in officiating the District Level Chess Championship for District Sports Council, 2019
Open to collaborations, research opportunities, and exciting engineering roles.