# He Ma

> Machine Learning Engineer, AI

Location: Seattle, Washington, United States
Profile: https://flows.cv/hema

Software Engineer, AI Enginner - 9 years experience
Leetcoder Global Rank Top 1%

Had mentoring junior engineers and leading small teams experience, TechLead
Especially experienced and  interested in distributed system design & development
Proven track record of building end-to-end AI applications, integrating LLM-based assistants, retrieval pipelines, and machine learning workflows into production systems.
------------------------------------------------------------------------------------------------------------------
Advanced problem solving skills.
Expert in distributed system design. 
Cross-team communication skills.
Experienced in people management and project management.
------------------------------------------------------------------------------------------------------------------
-- Programming Languages: Golang, Java, Scala, Python, JavaScript, TypeScript, React, Vue, CSS, C#, .Net, Php, NodeJS
-- AI-powered product development (LLM integration, retrieval systems, ML pipelines)
-- Cloud: AWS, Docker, Kubernetes, Service Bus, Event Grid, Azure Directory
-- Frameworks: Redis, Cosmos DB, MySQL, Cassandra, MongoDB, .Net Core
-- Testing tools: JMeter, JUnit, Xdebug, Selenium, XUnit

## Work Experience
### Software Engineer, Machine Learning @ Microsoft
Jan 2020 – Jan 2025

### Software Engineer @ Visier Inc.
Jan 2015 – Jan 2019 | Vancouver, British Columbia, Canada
Workforce Planning team 		
					                                 
Design and Implement features
  • Design object-oriented and workflow-oriented procedure using functional programming Scala.
  • Implement end-to-end features with good design and covered with integration tests.
  • Consecutively review others code with high standard.
  • Demoed new feature in front of 130 colleagues and responded to constructive suggestions.

Refactor Backend Code
  • Continuously refactor codebase while implementing new features with better design and making the code more readable and maintainable. 

Performance Optimization
  • Decrease browser memory footprint by implementing LRU cache and designing a new type of data model so that server is chatty and only return what is shown in the grid (thoughts from how Google Doc sheets work).

### Enterprise Engineer @ GE
Jan 2013 – Jan 2014 | Shanghai,China


## Education
### Master of Science (M.Sc.) in Computer Science - Interactive Intelligence Specialization
Georgia Institute of Technology
Jan 2017 – Jan 2021

### Master of Engineering (M.Eng.) in Electrical and Computer Engineering
University of Victoria
Jan 2014 – Jan 2016

### Bachelor of Engineering (BEng) in Electrical and Electronics Engineering
Shanghai Maritime University
Jan 2009 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/he-ma-76779896

---
Source: https://flows.cv/hema
JSON Resume: https://flows.cv/hema/resume.json
Last updated: 2026-03-29