🎓 I'm a senior Computer Science student at George Mason, University currently completing my Bachelors and pursuing my Masters through the Accelerated Masters program.
Im an aspiring - Software Engineer passionate about Machine Learning, Artificial Intelligence, Algorithms, and Backend Development. I love working on challenging problems especially anything related to optimization, autonomous systems, and data-driven intelligence.
- Advanced Machine Learning and AI Systems
- Algorithm Design, and Competitive, Programming (LeetCode enthusiast 🚀)
- Database Systems and Data Modeling
- Building end-to-end AI powered applications
- Programming Languages: Python, Java, C, SQL, JavaScript, Typscript
- AI/ML Frameworks: TensorFlow, Scikit Learn, OpenCV, Hugging Face Transformers
- Databases:
- SQL (MySQL, PostgreSQL)
- NoSQL (MongoDB, Firebase)
- Relational Algebra, 2NF/3NF Normalization, Schema Design
- Web/App Development: Streamlit, Flask, Node.js (basics)
- Tools: Git, GitHub, Docker, VSCode, Linux/WSL
- Deep Learning Architectures (CNNs, RNNs, Transformers)
- System Design for scalable AI applications
- Advanced SQL optimization - and indexing strategies
- Reinforcement Learning basics
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Headstarter Software Engineering Fellow (SWE & MLE Track)
- Completing multiple AI and SWE projects
- Focus on building production level intelligent systems
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Amazon x CodePath Design Challenge (Summer 2025)
- Participated in Amazon-sponsored design competition for software solutions
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SpeedHacks 2.0 Hackathon (George Mason University)
- Project: AutoSeedBot — Designed and built an autonomous eco friendly seed planting robot using solar navigation and 3D printed chassis, coded navigation and distribution algorithms from scratch.
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Undergrad Research Assistant @ George Mason University
🧠 Worked on the Hardware-Security for Autonomous Systems project. Developed and tested robotic systems using C++, Python, ROS2; focused on real-time data handling, control, and cybersecurity for autonomous platforms. -
Autonomous Robotics Hardware Security Intern @ Spire Lab
🤖 Designed autonomous ground robots with Raspberry Pi implemented SLAM mapping, and led penetration testing to expose vulnerabilities in robot comms and navigation systems.
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Facial Recognition Project
Built a real time facial recognition - system using OpenCV and Deep Learning. Implemented face detection and recognition pipelines with efficient matching algorithms. -
Linear Regression Project
Designed and trained a linear regression model from scratch to-predict trends based on real-world data. Focused on gradient descent optimization and loss minimization. -
Neural Network Project
Built a custom neural network model-without using high-level frameworks. Implemented forward pass backpropagation, and trained on classification datasets, Including Cosine Similarity checking and Euclidean Distance. -
SQL Database Manager
CLI tool built with Java and JDBC for library database management complete CRUD functionality, SQL queries and database normalization up to 3NF. -
AutoSeedBot
Autonomous ecofriendly robot designed for reforestation. Implemented sunlight detection for navigation and automated seed distribution using custom-coded 3D-printed hardware.