Software Engineer & ML Researcher
Computer Science master's graduate based in the Tulsa area, building intelligent systems at the intersection of machine learning, computer vision, and full-stack development.
Professional experience across software development, teaching, and research.
The Mind Point
Built a production course-commerce platform from scratch for a mental health education business, supporting paid enrollments with Razorpay, Clerk-authenticated accounts, Resend confirmations, Google Sheets admin tracking, PostHog analytics, and Vercel deployment.
Physics Department
Supervised and graded physics labs for 100+ students across four semesters, guiding experiments, explaining concepts, and providing clear feedback across five lab sections per semester.
CVBDSL Lab
Analyzed RSA and related encryption approaches in Python/Jupyter during a four-month academic internship, comparing implementation tradeoffs for computational cost and efficiency.
A selection of research and personal projects spanning ML, computer vision, and full-stack development.
BE final-year team project for edge crowd-anomaly detection. Led model research and data collection, then optimized a TensorFlow prototype with TensorFlow Lite for Jetson Nano demonstration.
MATLAB computer-vision scripts for particle vibration analysis from ZED 2 camera video, delivering analysis outputs for downstream PhD research.
Academic internship analyzing RSA and related encryption approaches in Python/Jupyter, comparing implementation tradeoffs for computational cost and efficiency.
IEEE-published CO/gas monitoring prototype using Arduino Uno/C++, MQTT/Zigbee communication, and Node-RED flows to automate air-filter behavior from live sensor readings.
Live full-stack campground discovery app with Next.js, TypeScript, Clerk authentication, Prisma, PostgreSQL, and React Leaflet mapping.
C# port of Thorsten Ball's Monkey interpreter with lexer, parser, AST, evaluator, object system, REPL, functions, closures, arrays, hashes, and built-ins.
Novel preference-ranking app that uses decision latency as a confidence signal, weighting close vs. decisive matchups and normalizing final rankings to 100.
A comprehensive toolkit spanning full-stack development, machine learning, and systems engineering.
A passionate engineer dedicated to building intelligent systems and solving complex problems.
M.S. Computer Science
Graduated Apr 24, 2026 | CGPA: 3.9/4.0
B.E. Computer Engineering
2020 - 2024 | GPA: 8.14/10
Building intelligent systems that interpret visual data
Creating comprehensive web apps with modern frameworks
Optimizing systems for real-time processing
Interconnected device networks for smart applications
I combine theoretical knowledge with practical implementation to solve complex problems. My approach involves continuous learning, collaborative development, and a focus on creating solutions that are technically sound and user-centered. I'm dedicated to writing clean, efficient code and deploying robust systems that scale with growing demands.
Data Structures Competition
2024ESCI 2023 Conference Presenter
2023Mathex & MSCE Awards
2021-24A. Juvekar et al., “Carbon Monoxide Concentration Monitoring System,” ESCI 2023, DOI: 10.1109/ESCI56872.2023.10100144
Open to opportunities, collaborations, and interesting conversations about technology.