Last updated July 20, 2025
Software Engineer & Computer Science Researcher
Passionate about advancing AI in healthcare and security through rigorous research and practical applications. Currently pursuing graduate studies while building innovative solutions that bridge academic research with real-world impact.
Master of Science in Computer Software Engineering
Grand Canyon University, Phoenix, AZ (May 2024 – Oct 2025)
Bachelor of Science in Computer Science
University of Silicon Valley, San Jose, CA (May 2021 – Aug 2023)
Computer and Information Sciences (Transferred)
Solano Community College, Fairfield, CA (June 2020 – May 2021)
Software Developer
Kaiser Permanente Regional Laboratory, Berkeley, CA (Oct 2023 – June 2024)
Built a React + Express web application for lab instrument data, with RESTful APIs and SQL-backed workflows.
Freelance Full-Stack Developer
Remote (June 2024 – Aug 2024)
Developed and deployed a SaaS project tracker using React, Node.js, and MongoDB with OAuth integration.
• Fundamentals of AI and Machine Learning in Healthcare
Stanford University School of Medicine – 11 AMA PRA Category 1 Credits (June 2025)
• Google Project Management Professional Certificate
Credential ID: DQ3EEK89IWI6 (Sep 2024)
• Google IT Support Certificate
Credential ID: 6KPKTL6896VT (May 2021)
This research investigates the vulnerabilities of AI-based security systems to adversarial attacks, examining various attack methodologies and their impact on system reliability. The study provides a comprehensive analysis of defense mechanisms and proposes novel approaches to improve robustness.
An empirical study examining the effectiveness of transformer-based code completion models in improving developer productivity. The research analyzes various architectures and training methodologies to optimize code suggestion accuracy and contextual relevance.
This study explores the application of pretrained convolutional neural networks for brain tumor classification using PyTorch. The research evaluates various CNN architectures including ResNet, VGG, and DenseNet for medical image analysis, demonstrating improved accuracy in tumor detection and classification through transfer learning techniques.
Built a local inference pipeline using BLIP-2 for visual reasoning on video datasets. Processed video frames with OpenCV, generated answers with HuggingFace Transformers, and submitted predictions to EvalAI for the Google DeepMind Perception Test Challenge.
Biomedical research platform with PubMed integration for querying abstracts, summarizing with BioBERT, and visualizing author-citation networks and keyword clusters. Built with Streamlit and deployed for researchers and healthcare professionals.
AI-powered resume analyzer with GPT-based feedback, ATS scoring, and skills matching. Features Supabase backend, Tailwind UI, and PDF export functionality. Helps job seekers optimize their resumes for better job application success.
MetaHuman project developed at University of Silicon Valley featuring advanced character animation and real-time rendering technologies. Implemented using Unreal Engine with focus on photorealistic human simulation and interactive experiences.
Always learning. Always shipping. Let's connect if you're building something meaningful or interested in discussing research opportunities, collaborations, and innovative projects.