Hi there! I’m a Computer Science graduate from San Francisco State University with a passion for building scalable, intelligent systems and solving complex technical challenges. I’m driven by how technology can transform innovative ideas into impactful real-world solutions.
My journey has taken me across full-stack development, cloud infrastructure, DevOps automation, and AI/ML engineering. I enjoy bridging the gap between computer science theory and practical engineering to create solutions that are efficient, scalable, and user-centered.
Throughout my academic and project experience, I’ve cultivated a hands-on approach to system design, automation, and intelligent application development — always striving to deliver robust performance and seamless user experiences.
I’m especially passionate about:
Featured Project
Featured Project
Featured Project
Engineered an AI-driven traffic control system using Python, YOLO, and Pygame. Developed a real-time simulation environment to optimize traffic flow, reducing image processing time from 120ms to 85ms per frame.
Developed Infrastructure as Code with Terraform to automate AWS resource deployments. Integrated it into CI/CD pipelines and configured monitoring with CloudWatch and the ELK Stack for proactive incident response.
Automated plant growth monitoring with an IoT-driven system using AWS IoT Core and Lambda for real-time data processing, reducing manual intervention by 50% and improving water efficiency by 40%.
Designed a custom file system in C with buffered I/O and multi-threaded access control, reducing read/write latency by 40% and significantly enhancing overall performance.
Developing a machine learning model to predict structural integrity using TensorFlow and engineering data, optimizing design recommendations and enhancing prediction accuracy.
Implemented a neural network library in Python from the ground up, demonstrating a deep understanding of backpropagation, gradient descent, and core machine learning principles.
• Maintained >99.9% uptime for campus-wide services by designing and managing backend systems
• Reduced manual troubleshooting by 30% through automating system diagnostics, configuration audits, and log analysis parsing with Python and Bash
• Decreased query latency by 25% by building and optimizing RESTful APIs using FastAPI and PostgreSQL
• Strengthened resilience with backups, schema optimization, and disaster recovery planning
• Enhanced operational visibility by integrating Prometheus, Grafana, and AWS CloudWatch for real-time monitoring
• Minor in Mathematics, GPA: 3.8, Dean’s List
• Coursework: Data Structures & Algorithms, Machine Learning, Deep Learning, Artificial Intelligence, Data Visualization, Computer Vision, Statistics, Database Management
• Additional coursework includes: Software Engineering, Human-Computer Interaction, Web Development, Full-Stack Development, UX Design, Cloud Computing
• Built a multi-threaded Java processor, improving concurrency and reducing execution time by 50%
• Designed a scalable backend architecture and optimized SQL queries, increasing API throughput by 30%
• Developed a JUnit test suite integrated with CI pipelines, boosting QA coverage and regression reliability
• Tuned Unix/Linux performance by profiling resource usage and adjusting kernel parameters for efficiency
• Contributed to code reviews and documented key debugging and logging workflows
• GPA: 3.4, Merit Certificate
• Built a strong foundation in computer science and engineering principles
Let's build something amazing together
My inbox is always open. Whether you have a question, project idea, or just want to say hi, I'll do my best to get back to you!
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