Student Web Specialist — Oklahoma State University (August 2025 – Present)

Migrated legacy content to modern CMS platforms across 50+ pages, implemented WCAG 2.1 Level AA accessibility standards, and maintained high-traffic university web portals using Python/Django at 99.9% uptime.

Skills: Python, Django, WCAG, Performance Tuning

Software Developer Intern — Alvion Global Solutions (January 2024 – July 2024)

Engineered scalable RESTful APIs serving high-volume daily traffic. Implemented a real-time notification system using WebSockets, driving increased user engagement. Participated in Agile sprints, actively contributing to reduced technical debt.

Skills: Java, Spring Boot, WebSockets, REST APIs

GradCraft — AI Resume Builder (Productivity & AI)

ATS-free resume builder with AI-powered job description optimization using Groq AI (Llama 3 70B), precision PDF generation, dual-mode AI output (Conservative vs Bold Executive), and full-cycle application tracking via Supabase. Reduced resume tailoring time from hours to minutes.

Technologies: React, TypeScript, Supabase, Groq AI, Tailwind CSS, Framer Motion, Vite, Vercel

AI Gradient Mesh Tool — Generative Design Tool

Browser-based generative design tool using TensorFlow.js neural networks to create fluid, exportable SVG and CSS vector mesh gradients. Features real-time mesh manipulation, Web Worker rendering, and dark/light mode optimized UI.

Technologies: TypeScript, GCP, Google AI Studio, Cloud Run

Citi Bike NYC Demand Forecasting — MLOps Dashboard

Production-grade demand forecasting system for Citi Bike stations in New York City metro (Jersey City). Built on 69 months of real historical data (5.7M+ trips), using cluster-based XGBoost models to predict hourly bike demand. Achieved R² of 0.645 for high-traffic stations. Deployed on Render with Docker.

Technologies: Python, XGBoost, Streamlit, Docker, Pandas, Scikit-learn, Plotly, MLOps

Smart Farming System — IoT & Data Engineering

Real-time soil moisture and weather sensor simulation with automated irrigation alerts and historical data analysis. Optimizes agricultural water usage through data-driven threshold controls.

Technologies: Python, Streamlit, SQLite, Data Modeling

Online Farm-Basket — Full Stack E-Commerce Platform

E-commerce platform connecting farmers directly to consumers with real-time inventory updates powered by Apache Kafka and secure payment gateway integration. Eliminates middlemen in the agricultural supply chain.

Technologies: PHP, MySQL, Kafka, JavaScript

Master of Science in Computer Science — Oklahoma State University (2024–2026)

Specializing in Intelligent Systems and Advanced Data Analytics. Serving as Treasurer of the Graduate Student Association.

Bachelor of Science in Computer Science and Systems Engineering — Sree Vidyanikethan Engineering College (2021–2024)

Graduated with First Class Distinction. Capstone project on maximizing agricultural yield using custom IoT sensor arrays.

Tag Prediction of Stack Overflow Questions using NLP and ML — GIJET 2024

Proposed a multi-label classification system to autonomously label Stack Overflow questions, improving data organization and retrieval efficiency.