AI Researcher & Developer · Ph.D. · TCS

Narasimhulu
Yeggoli

Building intelligent, scalable, and autonomous AI systems — from Zero Trust Agent Platforms to multi-agent network orchestration — at the intersection of research and industry.

View Projects ↓ Get in Touch GitHub ↗
Generative AI Agentic AI LangChain LangGraph Machine Learning Zero Trust HuggingFace
// about me
Research Meets Industry

I'm an AI researcher and developer with a Ph.D. in Machine Learning from the University of Hyderabad, specializing in Generative AI, Agentic AI, and Machine Learning systems.

At TCS NextGen Center of Excellence, I design and implement AI solutions that bridge the gap between academic research and real-world, scalable solutions.

I hold qualifications including UGC-NET JRF and GATE CS, and have published in SCI, SCOPUS and Springer-indexed journals with a focus on classification algorithms and intelligent systems.

🏆
TCS AI Friday Innovator Award
Tata Consultancy Services
🥇
TCS AI Spark — Ideathon Winner
Tata Consultancy Services
⭐
TCS Gems — Special Initiative Award
GenAI Dojo Program, TCS
🚀
TCS Innovista 2025 Regional Finalist & TATA Innovista
Graph Theory-Driven Network Data Modeling
🌍
Cardiff University CyberAI Challenge — Winner
Privacy Preserving Federated Learning on Healthcare Data
// education
Academic Background
Ph.D.
Machine Learning
School of Computer and Information Sciences
University of Hyderabad
Thesis: "Design and Analysis of Classification Algorithms"
M.Tech
Computer Science & Engineering
Jawaharlal Nehru Technological University Anantapur
B.Tech
CS & Information Technology
Sri Krishnadevaraya University, Kurnool
// experience
Work History
2 Years
Designer & Research Intern
NextGen Networks CoE, R&D — Tata Consultancy Services, Hyderabad
Designed and implemented Generative AI and Agentic AI solutions at TCS NextGen Center of Excellence, including a Zero Trust AI Agent Platform, autonomous network orchestration agents, and GenAI-powered ticket resolution systems.
5.6 Years
Data Science Research Fellow
Junior & Senior Research Fellow — SCIS, University of Hyderabad
Conducted full-time Ph.D. research on classification algorithms. Developed novel techniques including an active learning algorithm (ActiveSVM), a modified online feature selection algorithm, and a KD-Tree construction improvement (CKDTree). Published in SCOPUS and Springer-indexed journals and conferences.
7 Years
Academic Professional
University Education
Conducted workshops on Practical Machine Learning, Retrieval-Augmented Generation (RAG), Agentic AI Workflows, and Classification for senior leaders and faculty at universities and industry forums including JNTU-GV, RGM College of Engineering, G Pulla Reddy Engineering College, and TCS.
// projects
Builds
Zero Trust · Security
Zero Trust AI Agent Platform
Enforces cryptographic workload identity, policy-driven authorization, and identity-native network access controls across autonomous AI agents. Every agent is issued a short-lived cryptographic identity and inter-agent requests are mutually verified before execution.
SPIFFE/SPIRE OpenZiti LangChain LangGraph OPA FastAPI Streamlit
Agentic AI · Networks
Autonomous Multi-Agent Network Orchestration
LangChain-based AI agents that automate network resource provisioning and proactively monitor network health using OpenAI GPT models. Dynamically analyzes real-time network data to optimize resource allocation.
Python LangChain LangGraph NetworkX SQLite Streamlit
↑ Single-touch, secure, fast multi-agent workflow
GenAI · Automation
Ticket Root Cause Analysis using GenAI
Automated system leveraging generative AI for enhanced ticket analysis, root cause identification, and resolution guidelines. Identifies patterns across historical tickets and proactively provides closure summaries.
Python LangChain LangGraph Chromadb Streamlit
↓ 20% reduction in new ticket creation
Graph Theory · Network · 🏆 TCS Innovista 2025
Graph Theory for Network Data Modeling (YANG)
DAG-based solution for managing, visualizing, and optimizing complex YANG data models. Leverages LLMs to automate YANG model generation and supports GenAI-driven Q&A on the YANG Knowledge Graph. Finalist at TCS Innovista & TATA Innovista 2025.
Python LangChain Cytoscape JSON XML JS
↓ 80% time saved in understanding YANG model relationships
// research
Publications
01
Revisiting Winnow: A Modified Online Feature Selection Algorithm for Efficient Binary Classification
Statistics, Analysis and Data Mining: ASA Data Science Journal (Wiley), 2024 Journal
02
ActiveSVM: An Active Learning Algorithm with Novel Initialization and SVM Model Update Techniques
Under Review — Journal Preprint
03
Low-rank Binary Matrix Approximation using SVD Based Clustering: Detecting Autism Spectrum Disorder (ASD)
SN Computer Science, Springer Nature (IF: 3.78) Springer
04
A Probability Based Joint-Clustering Algorithm for Application Placement in Fog-to-Cloud Computing
ICRITO 2021, IEEE SCOPUS
05
CKDTree: An Improved KD-Tree Construction Algorithm
ISIC 2021, CEUR Conference Proceedings SCOPUS
06
Nearest Neighbors via a Hybrid Approach in Large Datasets: A Speed Up
Lecture Notes on Data Engineering, vol 56. Springer, Singapore SCOPUS
07
CNN Data Mining Algorithm for Detecting Credit Card Fraud
Soft Computing and Medical Bioinformatics, SpringerBriefs Web of Science
// skills & certifications
Expertise
AI & GenAI
LangChain LangGraph HuggingFace OpenAI RAG Agentic AI
ML & Data Science
Classification Active Learning SVMs Deep Learning Federated Learning
Security
Zero Trust SPIFFE/SPIRE OpenZiti OPA
Languages & Tools
Python FastAPI Streamlit SQL Chromadb NetworkX
Platforms
Databricks Google Cloud GitHub Cytoscape
Qualifications
UGC-NET JRF GATE CS AP SET
// certifications
Certifications
Databricks Certified ML Professional
Databricks Academy
Databricks Certified GenAI Engineer Associate
Databricks Academy
Generative AI Leader Certification
Google Cloud
Databricks Certified Data Engineer Associate
Databricks Academy
AI Agents with LangGraph
O'Reilly Media — Sajal Sharma
Agentic AI Agents
O'Reilly Media — Sinan Ozdemir
Deep Learning
One Fourth Labs — IIT Madras Research Park
Foundations of Data Science
One Fourth Labs — IIT Madras Research Park
// get in touch
Let's Connect
narasimedu@gmail.com
📧 Email Me 🐙 GitHub 💼 LinkedIn

Based in Hyderabad, India