I specialize in the technical development and strategic execution of our application's backend and database systems, ensuring alignment with our business goals. Key responsibilities and achievements include:Technical Validation: Led the validation of database and backend proposals by prototyping with advanced technologies, showcasing my ability to assess and implement scalable, efficient solutions.Innovative Tool Utilization: Employed a sophisticated toolkit including OpenAI, MongoDB, Pinecone, LangChain, and Python, integrating AI, efficient data management, and natural language processing to enhance application functionality.Strategic Collaboration: Worked closely with the senior Azure architect and CTO/Founder to align technical functionalities with strategic objectives, demonstrating my collaborative skills and strategic mindset.Demo and Scaling Strategy: Coordinated with leadership to strategize and execute demo presentations and scaling plans, emphasizing my strategic thinking and communication skills in translating technical solutions into business value.Collaborate in Team Meetings: Actively participated in weekly team meetings, contributing with transparency and accountability, and driving project progress through effective communication and team collaboration.My role merges technical expertise with strategic planning, positioning me as a key contributor to the development of innovative solutions and the achievement of our company’s objectives.

At SportsChat, I played a key role in developing an AI sports companion, blending technical expertise with strategic insight. Key contributions included:Strategic Collaboration: Served as a bridge between Microsoft consultants and our team, translating technical advice into actionable insights for the Founder/CTO, driving informed strategic decisions.Tech Prototyping: Led the creation of a prototype using Python, Azure, CosmosDB, Azure Kubernetes Services, and OpenAI’s large language models, focusing on scalability, user engagement, and performance tracking.Tech Stack Analysis: Conducted in-depth analysis of our proposed tech stack, identifying scalability challenges and influencing the pivot to a more viable business model, demonstrating foresight and agility in recognizing opportunity costs.Leadership and Team Collaboration: Actively participated in weekly team meetings, updating on progress and fostering a culture of transparency, accountability, and innovation.This role enhanced my capabilities in data science, strategic analysis, and technical communication, proving instrumental in navigating high-growth environments and contributing to pivotal business decisions.

I contracted with VincentBenjamin as demand planning analyst for TwinMed, a medical supply-distributor company. I assist buyers by tracking purchase orders (POs) from their assigned suppliers (vendors) and report findings. I also assist dropship by generating POs, request tracking from vendors, and report it to customer service in behave of their clients/facility. I also perform Purchase Price Variance review on invoices for accounts payable team to know what should be invoiced. I use Microsoft Excel, Microsoft Teams, Microsoft Outlook, Notepad, SQL reporting, and Microsoft Dynamics GP.

I've completed a data science program where the acceptance rate is 2%. The program consists of concepts of statistics, data science, and data visualization through varies technological tools like python, Tabluea, and SQL. It requires completing a 17-week project with a team of 4-6 members and the guidance of two mentors.

Machine Learning Research Group Research: CNNs, computer vision, artificial intelligence, and coding in PythonCourses: Machine Learning, Advanced Machine LearningAdvisor: Professor Wenlu ZhangPresentations:• Summarize and explain the Recursion Cellular Image Classification problem. Then, explain how to EfficientNet algorithm works to address the classification problem.• Summarize papers on Dilated Convolutional Neural Networks (DeepLab v1 and DeepLab v3)

I graduated from California State University Long Beach as a Applied Statistic graduate student. I have completed several courses and projects.

Research: Stochastic Processes, Markov chains/Birth-Death chains, and Linear AlgebraCourses: Random Processes & Markov ChainsAdvisor: Professor Alan KrinikPresentations: • Presented at the SIAM (Society for Industrial and Applied Mathematics) Conference in Cal Poly Pomona on “An Eigenvalue Approach for Determining Certain Birth-Death n-step Transition Probabilities”. • Presented at the AMS (American Mathematical Society) Regional Meeting in San Francisco State University.

I graduated from California State Polytechnic University, Pomona with a Bachelor in Mathematics. I completed several projects and courses related to mathematics like Numerical Analysis, Operations Research, Mathematical Analysis, etc. I also completed statistical courses including Time Series Analysis, Nonparametric Statistics, and Experimental Design.

I volunteered the Disability Service Center (DSC) of Cal Poly Pomona as a Mathematical Analysis Clerk. My task was to be a notetaker for a student/client during lectures on Mathematical Analysis. Then, I scanned the notes electronically and submitted them through the DSC online services.