BS Computer Science + Certificate in Data Science at University of Wisconsin-Madison (Expected May 2026)

Currently Software Engineer Intern at Magic Labs

Researching mmWave radar-based keyboard sensing through opaque structures

Actively seeking Full-Time Software Engineering Roles

Passionate about building scalable systems, AI/ML solutions, and intuitive user experiences

const tejas = {
    location: "Madison, WI",
    education: ["BS Computer Science", "Certificate in Data Science"],
    currentRole: "Software Engineer Intern @ Magic Labs",
    interests: ["Full-Stack Development", "AI/ML", "System Design"],
    availableFor: "Full-Time Opportunities",
    expectedGraduation: "May 2026"
};

Sept 2024 – Present

• Enabled real-time pose evaluation for 200+ students with 95% pose classification accuracy by building an AI-powered full-stack pose detection platform
• Reduced frontend latency by 40% by architecting the UI using the MVVM pattern in React with Firebase Realtime Database and Firestore sync
• Protected user data across 1,000+ daily cloud transactions via Firebase Authentication and role-based Security Rules
• Improved backend maintainability by implementing RESTful APIs using Clean Architecture (domain models, use-case services, API controllers)

Sept 2025 – Dec 2025

• Built an ADA-compliant financial advisory platform with SEO-optimized architecture using Next.js
• Integrated an AI chatbot for onboarding guidance, FAQ answering, and lead qualification
• Implemented 12 interactive financial calculators for portfolio and retirement planning
• Enabled non-technical content updates via Strapi CMS integration

June 2025 – Aug 2025

• Improved fraud detection accuracy by 28% by building an AI-based anomaly detection system for input tax credit invoice mismatches
• Implemented secure Stripe REST APIs with idempotent transaction handling and automated retry safeguards
• Strengthened cloud deployment security across AWS infrastructure aligned with enterprise and regulatory standards

May 2023 – Aug 2023

• Developed a Java system that automated resistance and insulation test batch traceability
• Improved backend modularity using OOP principles and Factory/DAO design patterns
• Designed SQL schemas integrated with JDBC for reliable test data storage and retrieval

Jan 2026 – Present | mmWave Radar · Signal Processing · Machine Learning

• Enabled keyboard sensing through opaque materials by developing an FMCW radar signal processing pipeline
• Extracted micro-motion features from noisy radar reflections using signal processing algorithms in Python
• Increased keystroke prediction robustness by training ML models on radar-derived motion features

• Built a full-stack betting platform for the NCAA Men's Basketball Tournament
• Developed backend in Java with network protocols connecting Docker containers
• Implemented a web scraper to self-populate MySQL with real-time game updates
• Configured Docker Compose to orchestrate frontend, backend, MySQL, and phpMyAdmin

• Implemented Q-Learning and SARSA agents for the CliffWalking environment
• Optimized navigation reward algorithms and built visualization tools for policy analysis

I'm actively seeking full-time software engineering opportunities and would love to connect!

---