# Richard Guo

> Senior Software Engineer @ Nomic AI

Location: New York, New York, United States
Profile: https://flows.cv/richardguo

Student at Johns Hopkins University studying Computer Science and Applied Mathematics. Background in statistics, machine learning, and general software engineering. Interested in computational healthcare and scalable systems.

## Work Experience
### Senior Software Engineer @ Nomic AI
Jan 2023 – Present | New York, New York, United States
Building an embeddings data platform for visualizing and analyzing unstructured data using NextJS, Python, and Terraform.

Some Highlights:
- Built a vector search tool that lets you visualize queries in real time
- Prototyped and developed RAG interface in Atlas
- Developed a domain-specific language for scalable dataset annotation and state management
- Rearchitectured backend data model for core performance improvements and modular builds

### Software Engineer @ Clearing
Jan 2022 – Jan 2022 | New York, New York, United States
- Developed team's data science platform and practices using Python libraries and GCP (BigQuery)
- Built full-stack features in Django and VueJS for telehealth web application.
- Designed a workflow management system in Python for monitoring patient onboarding and experience.

### Software Engineer 2 @ Microsoft
Jan 2021 – Jan 2021 | Cambridge, Massachusetts, United States

### Software Engineer @ Microsoft
Jan 2020 – Jan 2021 | Cambridge, Massachusetts, United States
Commercial Software Engineering Team
Building cloud/ML applications for customers in healthcare and financial service industries.

• Developed data engineering workflows with PySpark on EMR data.
• Built model training and deployment pipelines with AzureML and MLflow.
• Adapted a static analysis library to work with C++ projects as part of a CI/CD pipeline.
• Developed SQL queries and PowerBI reports for tracking worker safety during pandemic.

### NeuroData Researcher @ Johns Hopkins Whiting School of Engineering
Jan 2016 – Jan 2020 | Baltimore, Maryland Area
Research and developing machine learning tools for computational neuroscience. 

• Implemented an open-source Python package for multiview learning.
• Developed novel random forest algorithm for estimating mutual information.
• Built Python pipeline that detects and classifies different synapses in brain images.
• Deployed web service that launches pipeline jobs in the cloud using AWS Batch and Docker.
• Used MongoDB to store and format MRI scans; developed RESTful API to handle queries.

Technologies Used: Python, Scikit-Image, NumPy, Plot.ly, Jupyter, AWS, Docker, Flask, MongoDB

### Software Engineering Intern @ Microsoft
Jan 2019 – Jan 2019 | Cambridge, MA
May 2019 - August 2019
Commercial Software Engineering

• Implemented data cleaning pipelines in R to improve data infra for cystic fibrosis research.
• Integrated Fitbit data engineering pipelines with AzureML for scalable, parallel processing.

### Software Engineering Intern @ The Johns Hopkins University Applied Physics Laboratory
Jan 2018 – Jan 2018 | Laurel, Maryland
• Developed graph analytics using Java and TinkerPop3 for optimized memory performance. 
• Wrote a Java statistics package for calculating mutual information over graph attribute pairs.
• Implemented scalable k-means algorithm using MapReduce to cluster graph vertices.
• Wrote simple Groovy scripts for demoing above analytics to project owners and sponsors.


## Education
### Bachelor’s Degree in Computer Science
The Johns Hopkins University
Jan 2016 – Jan 2019


## Contact & Social
- LinkedIn: https://linkedin.com/in/richard-guo-e248

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Source: https://flows.cv/richardguo
JSON Resume: https://flows.cv/richardguo/resume.json
Last updated: 2026-03-20