About Me

I’m a computer science student at Pennsylvania State University with a deep fascination for the theoretical foundations and future potential of technology. My academic journey is guided by a persistent curiosity about how we can push the boundaries of computation — particularly through the lens of quantum computing and algorithm design.

I believe that breakthroughs in algorithmic thinking can power the next generation of responsible and scalable systems. My current interests lie at the intersection of quantum-safe cryptography, quantum computing algorithms, computation biology and building elegant, efficient solutions to complex computational problems.

Whether I’m optimizing classical systems or exploring the capabilities of quantum frameworks, I’m driven by a desire to bridge theory with application, ensuring that the technologies of tomorrow are not only innovative, but also ethical and impactful.

Skills

Experience

Software Engineering Intern – Jubilant Pharmova

Summer 2025 · New Delhi

• Worked in a team of 10 developers to optimize workflow across 46 radiopharmacies in the US, reducing ingredient waste by 15%.
• Built a LangChain AI agent (CPM, JSON, SQL Server) to auto-extract and calculate metrics from reports, cutting data processing time by 90%.
• Researched AI/ML automation tools to enhance radiopharmaceutical logistics while ensuring HIPAA compliance.

Research Assistant at the RAISE Lab – Ethical use of AI

Fall 2024 - Present · Pennsylvania State University

Doing research in The RAISE Lab (Responsible AI for Social Emancipation), under Professor Amulya Yadav. Focused on detecting copyrighted content in LLM training data and ensuring Fairness, Accountability, and Transparency (FAccT) in Machine Learning.

Software Engineering Intern – Ministry of Electronics & IT

Summer 2024 · Government of India

Represented the Ministry in providing technical assistance to startups. Built a decentralized voting system using blockchain to ensure transparency, immutability, and trust in elections. Conducted 10+ blockchain workshops impacting ~100 attendees.

Machine Learning Intern – Agritech & Public Health

Summer 2024 · Grus N Grade Pvt. Ltd.

Designed ML models to enhance crop choice and farming efficiency for Indian farmers. Built a web crawler aggregating 50+ crop profiles across Indian states—focusing on nutrients, soil type, water needs, and texture—to support predictive modeling.

Math Proctor & Grader

Fall 2024 - Present · Pennsylvania State University

5-star rated proctor with 50+ sessions. Recognized by professors for reliability and integrity in exam supervision. Graded weekly assignments for over 100 students, ensuring fairness and consistency across multiple math courses.

Education Team Member – HackPSU

Fall 2024 - Present · Pennsylvania State University

Conducting beginner-friendly technical workshops on topics such as Git, Python, and Web Development. Helping students navigate hackathons and build impactful projects. Collaborating with core team members to plan educational initiatives for 300+ attendees.

Projects

BlockSupply | Spring 2025
• Built a full-stack decentralized product verification platform using blockchain, QR/barcode tracking, and MetaMask login.
• Empowered users with on-chain verification and manufacturers with secure, tamper-proof product logging.

Rate My Manager | Spring 2025
• A full-stack web application using Node.js allowing employees to anonymously rate and review their managers.
• Implemented a machine learning model to analyze user comments and encrypted API endpoints to protect user anonymity and data integrity.
• Created a feature for users to add or select tags; backend supports high-volume data traffic.

Rogue-Like Game | Fall 2024
• Developed a procedurally generated roguelike game using Python and the tcod library for dynamic dungeon exploration.
• Integrated a menu interface and a save system to preserve game state across sessions.

Fake News Detection Model | Fall 2024
• Built a fake news detection model using feature extraction and logical validation.
• Implemented classification algorithms to achieve over 95% accuracy.

3D Object Renderer | Fall 2024
• Built a Java GUI using matrix and vector math to enable 3D transformations and object rotation.
• Implemented Z-buffering, rasterization, and basic shading for realistic rendering effects.

• HackPSU: AI Glaucoma Detector | Fall 2023

  • Led a team of 5 to develop an AI model that detects glaucoma with 95% accuracy.
  • Used Python, Torch, and StyleGAN3 to process and analyze over 120K retinal images.

Achievements