About Me
Hi, I'm Dhev Mugunddhan A — a Technical Lead at HCLTech, specializing in developing and deploying innovative Generative AI solutions. Graduated with a B.Tech in Artificial Intelligence and Data Science (CGPA: 9.3/10.0) from Shiv Nadar University, Chennai.
During my tenure at HCL Technologies, I have contributed across multiple roles, progressing from an intern to a Technical Lead. In my current position, I architected a proactive monitoring system powered by Generative AI agents(LangChain, OpenAI) capable of autonomously parsing logs, detecting failures, and generating intelligent healing recommendations. I engineered a prompt-driven action generator to draft corrective messages for classified failures and integrated the system with Microsoft Teams using the Graph API, enabling a fully automated, self-healing operational workflow.
Earlier, as an intern, I developed and deployed commodity price forecasting systems, designed cloud-integrated databases, and explored GenAI-driven supply chain optimization. I have also built projects such as skin lesion classification models, abstractive summarization consistency evaluators, and a Flask-based movie recommendation system.
I’m highly ambitious and passionate about working on AI-first products that solve real-world problems at scale. Feel free to explore the sections below to learn more about my expertise, projects, and skills, and don’t hesitate to reach out using the contact details provided below for opportunities, collaborations, or discussions.
Experience
Technical Lead
HCLTech, Noida, Uttar Pradesh
Sep 2025 - Present
- Developed a proactive monitoring system using Generative AI agents (LangChain, OpenAI) to autonomously parse logs, detect failures, and generate healing suggestions. Engineered a prompt-based action generator to draft corrective messages from classified failures. Integrated the AI output with MS Teams via the Graph API, enabling a fully automated self-healing workflow.
AI & Data Science Intern
HCLTech, Chennai
May 2024 - July 2024
- Developed and evaluated forecasting models to predict commodity prices, identifying SARIMAX as the most effective model.
- Deployed the model as a web application using backend APIs and integrated it with a frontend.
- Designed database schema and created a PostgreSQL database on Azure cloud, building the entire data lifecycle.
- Ideated GenAI solutions for the Supply Chain domain and presented them to leadership.
Paid AI & Data Science Content Creator
Internshala Data & AI Club
Oct 2023 - Feb 2024
- Collaborated with a community of creators, curating around 70 high-quality posts on hot topics in the AI and Data Science domain.
- Guided nascent creators and consistently met deadlines amidst academic responsibilities.
Student Intern
Academor, Remote
July 2023 - Aug 2023
- Learnt AI, ML algorithms and deploying techniques.
- Drafted a report on AI Applications in Logistics: Opportunities and Ethical Considerations based in Australia.
Education
B.Tech in Artificial Intelligence and Data Science
Shiv Nadar University, Chennai, India
2021 - 2025
CGPA: 9.3 / 10.0
CBSE Grade 12
Chettinad Vidya Mandir, Karur, India
2020 - 2021
Marks: 96.4%
CBSE Grade 10
Chettinad Vidya Mandir, Karur, India
2018 - 2019
Marks: 92.8%
Skills
Programming Languages
Libraries & Frameworks
Other Tools & Technologies
Languages
Projects
Skin Lesion Classification
Built MedMamba, ViTs, ResNets, and other models with ensembling on ISIC datasets. Performed extensive EDA, class imbalance handling, and feature engineering in an end-to-end ML pipeline.
Movie Recommendation System
Designed a full-stack web app with a content-based filtering recommender system on the IMDB dataset, using PostgreSQL for the backend and Flask for the server.
Factual Consistency of Text Summarization
Evaluated abstractive text summarization by performing NLP preprocessing and generating sentence embeddings using various models like TF-IDF and BERT.
Multipurpose To-Do List Creator
This project is a versatile Java-based GUI application designed to simplify daily organizational tasks. Built using JSwing and AWT events, it offers a user-friendly interface for creating and managing various types of lists.
Neural Network weight optimization using meta heuristic algorithms
This project optimizes an Artificial Neural Network's (ANN) weights for a classification problem using three meta-heuristic algorithms. It compares the performance of Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Genetic Algorithms (GA) to determine which nature-inspired method most effectively improves the ANN's accuracy and efficiency.
Certifications
Multi AI agent system with crewAI
DeepLearning.ai
Knowledge RAG agent with Neo4j
DeepLearning.ai
LLMOps with CircleCI
DeepLearning.ai
Programming in Java - NPTEL (Top 5% Elite+Gold)
NPTEL
Blockchain & its applications - NPTEL (Top 5%)
NPTEL
System Design For Sustainability - NPTEL (Top 2%)
NPTEL
Deep Learning Specialization
Coursera
Big Data 101
IBM
SQL for Data Analytics
Internshala Trainings
Git Essential Trainings
LinkedIn Learning
Introduction to Quantum Computing: Quantum Algorithms and Qiskit
NPTEL
Software Engineering Job Simulation
JP Morgan Chase & Co
Get In Touch
I'm always excited to collaborate on impactful AI and data science projects. Let's create smarter, data-driven solutions together! My inbox is always open — feel free to reach out.