# Alex Ng

> Full Stack Software Engineer at Charles Schwab

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/alexng

Full-stack software developer for Charles Schwab's Accelerator and ROAR teams, working to improve user interactions in account opening and funding.

Graduate from the University of California, San Diego with a B.S in Cognitive Science with a Specialization in Design and Interaction, as well as a minor in Computer Science.

## Work Experience
### Full Stack Engineer @ Charles Schwab
Jan 2021 – Present | San Francisco, California, United States
• Worked to develop new user funding tools, integrating external APIs to increase new account funding.
• Developed error handling methods and pathways to reduce help call conversion by 40%
• Developed new flows that have increased account conversion by 30%
• Developed new account funding technique that increased funding by 21% per month compared to previous older methods

### Service Technician @ UCSD Information and Technology Services
Jan 2018 – Jan 2020 | La Jolla
Service Technician at the Information and Technology Service Desk at UCSD, providing tier one support to all 89 academic and administrative departments as well as the on-campus network ResNet.

### Software Engineer Intern @ Stockpile
Jan 2019 – Jan 2019 | Palo Alto, California
• Reduced account funding turnaround by 2 days by creating a funding microservice to process ACH transactions using Plaid's API.
• Enabled real-time trading by streaming orders with Apache Kafka, reducing account update times by 80%.
• Developed automatic reconciliation service for EOD account corrections, reducing errors and eliminating an hour-long manual process.
• Mocked bi-temporal database setup with MySQL utilizing ORM via Hibernate to resolve mishandled trades and reconciliation issues.
• Developed dynamic pagination technique with native queries to organize queried companies and return user relevant results.
• Created dynamic queries with JPA Criteria Queries, handling user stock searches and organizing results based on user’s current portfolio.
• Trained new fraud detection models utilizing Neo4j and PyTorch with 96% accuracy.


## Education
### Bachelor of Science (BS) in Cognitive Science
UC San Diego

### Minor in Computer Science
UC San Diego


## Contact & Social
- LinkedIn: https://linkedin.com/in/atng

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Source: https://flows.cv/alexng
JSON Resume: https://flows.cv/alexng/resume.json
Last updated: 2026-04-05