About Me
Academic background, professional experience, and research interests
Education
Master of Science in Computer Science
Binghamton University, SUNY
Expected May 2026GPA: 3.15/4.00
Relevant Coursework:
Design & Analysis of Algorithm
Systems Programming
Mobile System Security
Intro to AI
Data Mining
Bachelor of Technology in Information Technology
Rajalakshmi Engineering College, Chennai, India
May 2024GPA: 3.45/4.00
Relevant Coursework:
Data Structures and Algorithms
Computer Networks
Database Management System
Operating Systems
Software Testing
Electrical & Electronics Engineering
Experience
Data Analyst Intern
Kanini | Chennai, India
June 2023 - Dec 2023
- Built and deployed a full-stack web application with Django and Flask enabling document upload and analysis, reducing manual processing time by 40%, integrated REST APIs for modular, scalable backend deployment across multiple applications.
- Developed and validated Python-based data processing pipelines; designed interactive dashboards to communicate system performance metrics to stakeholders.
Django
Flask
Python
REST APIs
Data Processing
Interactive Dashboards
AI/ML Intern
University of Texas at Dallas | Dallas, TX
Jun 2022 - Aug 2022
- Worked on ML research involving audio feature extraction and classification using Python, Librosa, NumPy, and scikit-learn.
- Developed a music genre classification model using KNN and extracted MFCC audio features with Librosa and NumPy, achieving 82% accuracy on the GTZAN dataset through hyperparameter tuning and model evaluation with scikit-learn.
Python
Librosa
NumPy
scikit-learn
KNN
MFCC
Research Interests
- •Building production-ready ML systems
- •Large Language Model applications and fine-tuning
- •NLP pipeline optimization
- •Real-time inference systems
- •Hybrid ML and rule-based approaches
Current Learning Focus
- •Advanced LLM techniques and prompt engineering
- •Cloud-native ML deployment patterns
- •Scalable data processing pipelines
- •Applied AI research in recommendation systems