# Nathan Ho

> ML/AI Software Engineer | Machine Learning | AI | Backend Engineering | Data Privacy | Cryptography | Network Security | secure Multi-Party Computation (MPC)

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

I love learning and innovating! I'm excited to bring my skills and experience at two startups, applying machine learning, artificial intelligence, data privacy, cryptography, and secure Multi-Party Computation (MPC) to build cutting-edge solutions that solve challenging problems and make ambitious real-world impacts. One year after joining TripleBlind where I helped launch TripleBlind AI Privacy platform, I was awarded the Distinguished Software Engineer Award & Plaque by TripleBlind for Exceptional Innovation and Unwavering Commitment to Research Excellence.

I'm grateful to my family, friends, colleagues, professors, and mentors for enriching my life experience and supporting my dreams and aspirations.

Outside of programming, I love music, singing, a cappella concerts, and volleyball.

## Work Experience
### ML/AI Software Engineer @ Selfiie
Jan 2024 – Jan 2025
Selfiie's innovative technology enables patients to obtain and control the use of their health information and empowers Health Information Exchange (HIE) organizations to improve the quality, safety, and efficiency of secure clinical data analytics and healthcare delivery.

Skills & Contributions:
- Optimized key stages of our patient data processing pipeline, which resulted in a 20x overall increase in throughput, scaling up our system to the full production workload, and obtaining invaluable insights used in business planning.
- Augmented LLMs with a mathematical logic system to process online postings of cancer clinical trial eligibility 23% more accurately, outperforming previous multi-year efforts that largely used manual efforts of medical experts.
- Championed modern software development practices for testability and reusability, which led to robust operation of core system components and enabled the delivery of complex, highly desired features that were previously deemed to be too difficult to implement.
- Collaborated cross-functionally with team members, company leaders, and stakeholders as business needs shifted to bring an intense focus to top business priorities and consistently deliver tangible value using best practices in data and software engineering.

### Applied Research Scientist & Software Engineer @ TripleBlind
Jan 2022 – Jan 2024
TripleBlind AI privacy platform empowers organizations and teams to securely collaborate on sensitive data analytics while preserving privacy and ensuring regulatory compliance.

Skills & Contributions:
- Designed innovative algorithms to enable new business use cases in machine learning and data privacy.
- Developed scalable, reliable backend systems and robust software solutions to transform initial ideas into proof of concepts.
- Facilitated collaboration between researchers and developers, ensuring on-time delivery of features to customers.
- Scaled up neural network infrastructure to support a team of researchers and accelerate project timelines.
- Participated in code reviews and retrospectives, providing constructive feedback and maintaining a high performance team environment.
- Instilled continuous learning and alignment within the team by thoughtful engagement in technical discussions.
- Moved projects from 0 to 1 customer and promoted responsiveness to customer feedback by upholding agile principles.

### Cryptography Researcher @ Boston University
Jan 2020 – Jan 2021 | Boston, Massachusetts, United States
MPC Public Opinion Polling Research Project
- Used Facebook Research's Crypten library to implement machine learning algorithms in secure multi-party computation (MPC) environment
- Adapted MPC code to run on AWS EC2 servers
- Created benchmark scripts to determine fastest cryptographic protocols (Python, Crypten)

### Computer Science Teaching Assistant @ Boston University
Jan 2019 – Jan 2020 | Boston, MA
- Led weekly Discussion & Lab sessions, Homework Help office hours, and Midterm Review sessions, and graded homework problem sets for Computer Science course CS 332 Theory of Computation and course CS 131 Combinatoric Structures


## Education
### Master of Science - MS in Computer Science
Boston University

### Bachelor of Arts - BA in Computer Science
Boston University

### High School Diploma
Lick-Wilmerding High School


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

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