I am a Master's student at Syracuse University building high-performance AI/ML pipelines, optimizing compiler infrastructures, and deploying scalable data-driven applications.
I exist at the intersection of Systems Engineering and Data Science. I don't just build models; I build the pipelines that feed them and the interfaces that make them usable. From digging into low-level MLIR compiler logic to deploying high-level predictive dashboards, I focus on optimization, correctness, and scalability.
Syracuse University
Syracuse University (NEXIS Lab)
Syracuse University (ARIES Lab)
TIH-IOT, IIT Bombay
ETSA VIT
CodeKaroYaaro
Oasis Infobyte
UiPath
Doordarshan Kendra
Computer Science
Syracuse University
Syracuse, NY
Focus
Data Engineering, Artificial Intelligence & Scalable Systems
Electronics & Telecom Engineering
Minor in AI & Machine Learning
Vidyalankar Institute of Technology
Mumbai, India
Capstone Project
Design and Implementation of Bladeless UAV Technology to Optimize Power Consumption using Dyson & Coanda Effect.
A complete inventory of projects featuring Data Science, Machine Learning, and Full Stack Engineering.
ATS-inspired resume intelligence system combining semantic matching, skill coverage analysis, and experience signal detection for explainable hiring decisions.
ML classifier detecting fraudulent job postings with SHAP explainability for model transparency.
Multi-label emotion detection pipeline for large-scale tweets using BERT/ESA architectures.
Machine learning model predicting 30-day hospital readmission risk using clinical features, deployed via an interactive Streamlit application.
Sales and customer insights dashboard using Python, Streamlit, SQL, and Power BI to analyze revenue trends and performance metrics.
Classification models (XGBoost) trained on telecom data achieving 87% accuracy.
ARIMA & Prophet models for retail sales. Achieved MAPE under 10%.
Sentiment and emotion visualization dashboard built on large-scale tweet datasets.
End-to-end SaaS analytics dashboard using PostgreSQL and Power BI to analyze revenue trends, churn drivers, and customer behavior.
Executive-grade customer analytics dashboard built with Python and Streamlit to analyze revenue concentration, retention cohorts, and churn risk.
Responsive static landing page for a café, built using HTML5 and CSS3 with a focus on layout, styling, and visual hierarchy.
Full-stack library management system built with HTML, JavaScript, and Python, supporting PDF content delivery, user activity tracking, and SQLite-backed metadata.
Feature-complete banking system MVP built with Python and Streamlit, supporting account management, transactions, and SQL-backed persistence.
High-performance personal portfolio built with HTML5, Tailwind CSS, and Vanilla JavaScript, deployed via GitHub Pages.
Pixel-perfect, responsive clone of YouTube’s homepage built using pure HTML5 and CSS3.
Frontend utility demonstrating JavaScript logic, DOM manipulation, and responsive UI through real-time temperature conversion.
Coursera
UiPath Academy
Great Learning
HackerRank
MathWorks
MathWorks
I am actively seeking Spring 2026 Co-ops/Internships and Full-time 2026 roles in Software Engineering, AI/ML, and Data Science.