About me.
I am an AI and Data Science graduate passionate about building end-to-end AI pipelines and taking machine learning models out of the notebook and into production.Recently, I worked on the AIOps team at DinoDial, where I focused on prompt engineering for AI voice agents. My core work involved tuning conversational logic and handling edge cases to ensure the AI produced safe, accurate, and user-friendly responses in real-world scenarios.
Beyond my hands-on experience, I have a strong understanding of the modern AI stack, with core proficiencies in Machine Learning, Deep Learning, and Large Language Models. Right now, I am actively expanding my skill set by diving deep into Data Structures and Algorithms (DSA) and System Design to better understand how to build scalable and resilient AI architectures.
Technical Expertise.
Languages
Mathematical Foundations
AI & ML Stacks
Web Technologies
Tools
What I've Built.
A showcase of my latest works.
No projects found in Recent.
Internships & Experience.
Applied AI and AIops InternChennai, TN
March 2026 – April 2026at DinoDial
- Engineer and optimize system prompts for AI-driven voice agents, refining conversational flows and handling edge cases across diverse, real-world call scenarios.
- Analyze and test multiple LLM models, observing their distinct behaviors to write model-specific prompts and optimize overall agent performance.
- Monitor and tune LLM behaviors in production, conducting evaluations to ensure high reliability, safety, and output fidelity for live user interactions.
- Troubleshoot and resolve agent hallucinations and logic breaks by analyzing call transcripts and adjusting underlying model instructions, improving system resilience.
Artificial Intelligence InternKatpadi, TN (On-site)
Aug 2024 – Sep 2024at Strydo Technologies
- Gained practical experience in Python programming and data analysis with NumPy, Pandas, and Matplotlib.
- Applied fundamental machine learning algorithms to solve real-world problems.
- View Certificate
Education.
B.Tech in Artificial Intelligence and Data Science
2022 - 2026C.Abdul Hakeem College of Engineering and Technology
Melvisharam - Ranipet ,Tamil Nadu
Certifications.
Deep Learning for Computer Vision
Jul 2024 – Oct 2024From NPTEL / 12 weeks
Explored computer vision fundamentals and advanced deep learning methods including CNNs, transfer learning, segmentation, and object detection. Gained hands-on exposure to Vision Transformers, attention mechanisms, and generative models such as GANs, autoencoders, and diffusion models. Strengthened both theoretical foundations and practical skills in applying AI to visual data.
View CertificateIntroduction to Large Language Models
Jan 2025 – Apr 2025From NPTEL / 12 weeks
Completed a 12-week journey into NLP and deep learning, focusing on Transformers, prompting strategies, and RAG. Applied concepts using PyTorch and Hugging Face, while exploring fine-tuning methods like LoRA. Learned about interpretability, bias, and hallucination, gaining both technical and ethical insights into deploying modern LLMs effectively.
View CertificateComplete Data Science Bootcamp
Sep 2025From Udemy
Mastered foundational and advanced ML concepts including supervised/unsupervised learning, feature engineering, and model optimization. Explored deep learning fundamentals like optimizers, loss functions, CNNs, and NLP tasks. Gained practical skills with tools such as Scikit-learn, PyTorch, and TensorFlow, while introducing MLOps practices for deployment and reproducibility.
View Certificate