Building the Future with Artificial Intelligence

Education Excellence

Currently pursuing MSc in Artificial Intelligence at Cardiff University, building on a strong foundation in AI from Mahindra University.

Production Experience

Hands-on experience deploying production-ready AI services using FastAPI, Docker, and Kubernetes in real-world environments.

AI Innovation

Specialized in deep learning, NLP, and LLMs with practical experience in TensorFlow, Keras, and HuggingFace transformers.

Digital Innovator Intern

• Built multi-output classification model for Door Specification project using decision trees and neural networks
• Deployed production-ready web service using FastAPI framework to process input data and predict classifications
• Integrated TfidfVectorizer with Random Forest and AdaBoost classifiers for document processing pipelines

Malware Analysis Using Deep Learning

• Built and trained robust malware detection model using Python, TensorFlow, and Keras
• Employed BERT and Word2Vec for advanced word embeddings and feature extraction
• Iteratively evaluated and fine-tuned various ML algorithms to enhance classification accuracy

EMG Data Acquisition System

• Engineered data acquisition system in Python to collect and process EMG sensor data
• Implemented and deployed ML models to classify and predict motor actions from real-time EMG signals
• Demonstrated full-cycle approach from data collection to deployment in biomedical applications

NLP Emotion Analysis

• Experimented with NLP techniques using HuggingFace library for AI-generated content analysis
• Built service to analyze and compare emotional depth of AI-generated stories
• Developed data visualization skills creating emotion probability matrices and bar charts

MSc Artificial Intelligence

Advanced studies in machine learning, deep learning, and AI systems architecture. Focus on cutting-edge research and practical applications of AI in real-world scenarios.

• Advanced Machine Learning & Neural Networks
• Computer Vision & Natural Language Processing
• AI Ethics & Responsible AI Development
• Research Methods in AI & Data Science

Master's Dissertation

LLM Data Agents for Tabular Reasoning • Breakthrough research achieving 23x performance improvement in small model fine-tuning.

• Architected automated data curation pipeline generating high-quality (Question, Thought Process, Code) triplets from DataBench benchmark
• Fine-tuned three distinct open-source models (DeepSeek-1.3B, Phi-3-3.8B, CodeQwen-7B) using QLoRA methodology
• Achieved 50.94% accuracy with fine-tuned 1.3B DeepSeek model, outperforming 47.19% GPT-4o baseline
• Demonstrated 23x performance improvement through specialized training approaches

B.Tech Artificial Intelligence

CGPA: 7.0/10 • Comprehensive foundation in AI, machine learning, and software engineering with hands-on project experience.

• Machine Learning & Deep Learning Fundamentals
• Data Structures & Algorithms
• Natural Language Processing
• Computer Vision & Image Processing
• Software Engineering & System Design