🖥️ Bachelor of Science in Computer Science
🔐 Minor: Cybersecurity

Dean's List | President's List

Spring 2024, Fall 2024 | Spring 2025

Hi! I am a Junior at Virginia tech majoring in computer Science, I enjoy problem-solving and that's what makes engineering my passion. The ability of turning lines of code into function truly fascinates me and I hope to pursue a minor in cybersecurity.

• 🚀 AI/ML Algorithm Engineer Intern at Uplifty AI (Fall 2025)
• 🌍 ** Co-Founder & AI/ML Lead** for CarbonQapture, building interpretable AI models for CO₂ capture (evolved from our award-winning Bitcamp project)
• 📚 Teaching Assistant for CS3114 (Data Structures & Algorithms), mentoring 200+ students
• Software Engineering Intern at Propect Infosystem Pvt Ltd. (Summer 24)

Languages

Cybersecurity

Frameworks & Libraries

Developer Tools

• 🧠 Designing and developing AI algorithms using supervised learning and behavioral data for social media feeds, content moderation, and user recommendations.
• 🔗 Building intelligent backend systems for in-app goal-setting challenges among friend groups, fostering engagement and motivation.

• ⚛️ Spearheading AI/ML research on CO₂ capture using MOFs, integrating supervised learning & generative design with Python and Scikit-learn.
• 📊 Transitioning from deep learning to interpretable models (linear/logistic regression) to identify key MOF features.
• 📈 Applying Bayesian Information Criterion (BIC) to optimize model selection, targeting 15% higher accuracy over neural network baselines.

• 🎯 Mentoring 100+ students in Data Structures and Algorithms helping with concept mastery and providing academic guidance.
• 📈 Improved student comprehension and projets performance through personalized teaching approaches.
• 🤝 Collaborated with 15+ peer tutors to deliver comprehensive CS support across multiple projects.

• 📡 Developed a real-time rocket tracking system using Image Detection and ML with OpenCV and TensorFlow.
• ⚡ Improved object detection runtime by 30% by refactoring TensorFlow-based models into optimized C code, enabling faster and more precise real-time data processing.

• 🏗️ Built full-stack web applications with Java (Spring Boot) for RESTful APIs and Angular for frontend development.
• 🔍 Implemented error logging via Splunk to trace and resolve backend faults in Apache Kafka pipelines.
• 🔄 Worked in an Agile/Scrum environment, following OOP and version-controlled distributed workflows.

• ⚛️ Built a quantum-AI framework using PennyLane to simulate and design Metal-Organic Frameworks for CO₂ capture
• 🎯 Achieved 98.3% accuracy in ground-state energy prediction using Hamiltonian-based Variational Quantum Eigensolver
• 📊 Parsed 324,000+ MOF structures and screened 8,000+ candidates for carbon capture optimization
• 🧠 Trained a neural network to develop 10 novel MOFs and revalidated them via quantum simulation
• ⚡ Accelerated simulation convergence and generalized across 15+ MOF topologies with minimal tuning

• 🛡️ Developed a secure DNA data encryption system integrating custom AES-128 block cipher and Kyber-512 post-quantum key encapsulation
• 🔐 Achieved 128-bit quantum-safe security with an estimated 10¹⁹× greater quantum resistance compared to standalone AES-128
• 🧬 Ensured end-to-end protection for sensitive genetic datasets with quantum-resilient encryption protocols

• AI/ML for Materials Discovery – Interpretable models (regression, ensemble methods) for CO₂ capture with MOFs
• Post-Quantum Cryptography – Hybrid encryption systems (AES + Kyber) resilient against quantum threats
• Applied Machine Learning – Building real-time recommendation & goal-setting algorithms at Uplifty AI
• Scalable Systems & Cloud – Experience with Spring Boot, Angular, Kafka, Splunk, Docker, and AWS for distributed applications