David Chu Email & Phone Number

Washington, DC, US

Tysons Corner, Virginia, United States

• Leading B2B sales in the midwest region for Armored Fresh retail items
• Creating sales plan to maximize growth for the plant base cheese market
• Collecting the company’s internal sales data and utilizing neural networks to project sales performance for the next 2 quarters
• Utilized Neural Networks and test train split model on previous sales data to ensure a 100% revenue increase by Q4 of 2024
• Forecasting sales data to ensure a $1 billion evaluation by 2028 in preparation for the company to go public
• Using React to create a company site that utilizes the same prediction model for other employees to predict their own sales

• Implemented a machine learning algorithm leveraging Leetcode's API acceptance data to recommend new problems, enhancing users' learning pathways with data-driven insights.
• Aggregated, processed, and visualized data to generate detailed statistics and insights, enabling users to track their progress and identify areas for improvement.
• Designed and implemented a RAG chatbox using a vector database to store and efficiently retrieve relevant information, enabling quick and accurate responses to user queries.
• Implemented OpenAI's text embedding models to semantically parse and align user queries with stored knowledge, achieving a 95% precision rate in delivering relevant answers.
• Architected Supabase Edge Functions to perform real-time processing and securely manage dynamic chatbox context, scaling the chat system to handle 10,000 concurrent user sessions without degradation. Developed a.
• Integrated dynamic contextual learning algorithms that automatically refresh the chatbox knowledge base on every feature push to development, ensuring the system stays up-to-date with the latest information.

• Consulted various clients with engineering requirements with data engineering and Artificial Intelligence contracts
• Developed a Large Language Model (LLM) using python and prompting to make a digital assistant
• Communicated and advised clients weekly with status updates and negotiated milestone payments

Chantilly, Virginia, United States

• Resolved Kafka update issues for messaging purposes between multiple containers to integrate different microservices
• Containerized Tableau, Jupyter, and R2D2E (DHS cloud platform) to meet the time complexity requirements for the DHS
• Updated Tableau Servers for Apogee and DHS to continue their internal services for employee’s records and DHS logistics
• Utilized k8s modules in yaml files to create ansible playbooks to create different containers allowing microservices to run

United States

• Solved data incompatibility issues with client’s CRM data using SoQL which saved $800,000+ in data loss
• Stabilized client servers outages and issues with Active Batch and Toad to continue client’s services for their customers
• Implemented AWS SQS to manage dead letter queues to prevent client’s backlogging of their AWS servers

United States

• Researched internet security using DNSSEC protocols at George Mason University for future network security practices
• Data mined trends for fraudulent domain registrars and Autonomous Systems to find how often spam sites are created
• Used natural language processing to find the most common spam URL names containing selected characters
• Developed a predictive framework of what spam URLs would contain and presented to the USA’s Behavioral Analysis Unit

Washington, District Of Columbia, United States

• Engineered data models in python to identify contract violators and recovered $7,000,000+ lost annually
• ETL using Teradata from USPS Oracle databases to find vendor sales data to solve USPS contractual disputes
• Displayed statistical analysis visualizing to stakeholders USPS losses from false packaging claims

Master Of Science - Ms, Computer Science

Machine Learning Specialization

Bachelor'S Degree, Computer Science