Computer Science Graduate Student | AI/ML Researcher
Specializing in AI, Machine Learning, NLP & Software Systems
Published researcher with hands-on experience in scalable ML systems
Computer Science Graduate Student at Rochester Institute of Technology with a passion for AI, Machine Learning, and Software Systems. Published researcher with hands-on experience in building scalable ML systems, applied NLP research, and developing innovative solutions in the intersection of AI and software engineering.
Summer 2025
Aug–Dec 2023
Master's in Computer Science
Focus: AI, Machine Learning, Software Systems
Aug 2024 – Present
Rochester, NY
Bachelor's in Electronics & Telecommunication
Minor in Data Science
2020 – 2024
Mumbai, India
AI-powered restaurant operations platform using neuro-symbolic AI and Graph RAG for financial reasoning and real-time decision support. Built pipelines and warehousing to integrate multi-source restaurant data (sales, inventory, scheduling).
Agentic AI Platform for business consultancies. Built production-ready AI agent to analyze competitor data and customer sentiment, offering strategic recommendations for businesses.
ML-Driven PolSAR Data Classification Tool. Led development of custom ML tool outperforming PolSARPro in SAR image classification accuracy and UI accessibility.
Developed ML model predicting optimal packaging sizes by training over 200k data points using Random Forest. Utilized NLP techniques to extract and process product specifications.
ArXiv 2025
Research on enhancing neural models for predicting full label distributions in supervised learning tasks. Focus on annotator disagreement modeling and metadata integration for improved performance.
IJCA 2025
Comprehensive approach to machine learning applications in Polarimetric Synthetic Aperture Radar data processing. Focus on classification algorithms and GUI development for improved accessibility.
IEEE IGARSS 2024
Development of a comprehensive repository for Polarimetric SAR data to support research and development in remote sensing and computer vision applications.