Developer tools and infrastructure

Building Galleria.Actively innovating on personal projects during the 6-week immersive experience in cseed's buildspace program—cohort 0. Collaborating, learning, and driving innovation with a dynamic cohort. 🌐🛠️

Kernel Labs is a top-30 VC Firm that hosts a Startup Studio based in Seattle. In this role as a Junior Full-Stack Software Engineer, I work on full-stack engineering projects ranging from designing system architectures to managing feature delivery and engineering. I am mainly building full-stack features and optimizing latency in the user experience for platforms like Blue Canoe Learning (AI-assisted English Learning Platform) and Asidero (Automated Lobbying Compliance).- Designed two system architectures for the Blue Canoe Learning app to manage high-bandwidth traffic using distributed message queues and device caching, optimizing both web and mobile app performance.- Technologies Used: React.js, Node.js, Typescript, Javascript, AWS, Stripe, Postman, SQL

The MASS Project is a GPU Parallelizing Library for Multi-Agent Spatial Simulation built by The Distributed Systems Laboratory at The University of Washington School of Computer Science.In this role, I am working as an Undergraduate Researcher in the DSLab to develop MASS CUDA core library and benchmark applications. MASS CUDA is an implementation of the MASS Library in Nvidia's CUDA parallel computing platform and programming model.- Developing MASS core library on CUDA architecture. - Porting and developing MASS applications from C++ computing architecture to Nvidia CUDA architecture.- Optimizing simulation apps: Conway's Game of Life, Tuberculosis simulation, and Social Networks simulation.- Creating benchmarking scripts for MASS CUDA Applications and optimizing performance by 60%.

Intelus is a startup developing its SaaS AI platform for Document Understanding, Duet. In this role, I am working as a Backend Engineer on the SRE & Infrastructure Engineering Team Technologies: Kubernetes, .Net framework, Redis, AWS services, Ingress Nginx, Dynamo DB.- Developed new product features by creating API Endpoints for client-side and thirdparty to consume. - Implemented a remodel of the service's orchestrator and data model by optimizing user storage from Redis in-memory cache to serve customers 40% faster.- Deployed and maintained micro-service containers on our Kubernetes cluster and reengineering the service’s shared data model for redundancy and quicker ML model data retrieval on our computing cluster.- Addressed backend issues/bugs related to the service's API Gateway, orchestrator ingress cluster, and Endpoint routing.

The Cognitive Services Group in Microsoft Azure is responsible for developing and deploying all Azure Cloud AI services. In this role, I developed an open-source CLI tool that integrates two Microsoft Azure services, Cognitive Search and Custom Text Analytics. The tool enables AI search over classified documents of any type that have been processed through Custom Text Analytics' document entity extraction.- Contributed to a widely used open-source project.- Technology Used: .Net, C#, Azure, Postman, Git.