Microservices & Cloud • Applied AI & Computer Vision • Automation
Specializing in deep learning and computer vision model development using PyTorch and OpenCV • Building scalable .NET microservices
As a Software Engineer at Alphatec Spine, I specialize in developing scalable .NET-based microservices using ASP.NET Core and .NET 8.0, while driving innovation in applied AI through deep learning and computer vision. I have expertise in training, deploying, and optimizing various CV models using PyTorch and OpenCV, including object detection models like YOLOv8, for production-grade computer vision solutions. My work emphasizes clean architecture principles to support robust and efficient systems.
I am also the Founder and Software Engineer of NexMenus, where I lead the development of a multi-tenant SaaS platform for restaurant menu management. By leveraging Django, PostgreSQL, and AWS S3, I create mobile-first, localized applications with secure subscription workflows through Stripe integration.
My technical foundation includes comprehensive education in Java programming from UC San Diego Extension, along with nearly 6 years of experience in software development, automation, and cloud infrastructure.
Developed and deployed deep learning-based computer vision models for surgical screw detection and quality inspection. Trained custom object detection models (YOLOv8) using PyTorch and OpenCV, engineering iterative training workflows with data augmentation to achieve robust performance in production.
(Private Repository - App in Development) Developed an AI-powered food photography enhancement system that automatically detects and enhances the main food subject in images. Engineered a multi-factor weighted scoring algorithm combining normalized mask area, proximity to image center (exponential distance decay), and depth prominence to identify the primary dish. Implemented adaptive iterative refinement with exponential threshold decay to expand subject boundaries and capture garnishes. Integrated Grounding DINO for text-prompted detection and SAM for pixel-precise segmentation with LRU caching for optimized inference.
Founded and developed NexMenus, a multi-tenant SaaS platform for restaurant menu management. Architected a full-stack application using Django, PostgreSQL, and AWS S3. Integrated Stripe for subscription management and implemented GDPR compliance workflows.
Built and maintained microservices with .NET 8.0 and ASP.NET Core, implementing clean architecture patterns for scalability. Developed robust backend systems supporting healthcare cloud platform operations.
Rebuilt full CI/CD pipeline from scratch using Jenkins, Docker, and AWS, significantly enhancing deployment times and system reliability for Ace Parking Space online platform.
UC San Diego (2019-2020)
FreeCodeCamp
Comprehensive course covering ES6+, data structures, algorithms, recursion, regex, and functional programming.
Coursera and AWS
26-hour course covering AWS services like EC2, Lambda, ECS, S3, RDS, DynamoDB, and IAM, along with security fundamentals.