About
Mechanical Engineer turned Software Developer
I have a background in mechanical engineering and robotics through the University of Texas at Austin where I received my bachelor's. While pursuing my degree, I became extremely interested in computer science after working in various labs that utilized software development to further their research.
That lead me to minor in computer science, and, after graduation, I set out to fully transition into the field of software engineering by enrolling in a computer science master's program at Georgia Tech. Artificial intelligence and machine learning have been two of the topics that I gravitate towards the most, and my most recent roles have been in the realm of data and data science engineering.
What other hobbies do I have?
I'm an avid martial arts enthusiast, and I train Brazilian Jiu Jitsu and Muay Thai regularly. I also love to travel, cook, and play guitar.
Skills
A few of my interests
Machine Learning
Computer Vision
Artificial Intelligence
Robotics
Mobile Computing
IoT
Video Game Design
Human-computer Interaction
Computational Photography
Resume
Resume PDF HERE
Summary
Nathan Riojas
I am a Data Engineer pursuing a master’s degree in computer science from Georgia Tech with a specialization in machine learning.
- me@nathanriojas.com
Education
Master of Science, Computer Science
2020 - Present (part time & remote )
Georgia Institute of Technology
A part time program I am completing while working full time.
Relevant courework: Artificial Intelligence, Machine Learning for Trading, AI for Robotics, Computer Networks, Computer Law
Bachelor of Science, Mechanical Engineering
2012 - 2016
University of Texas at Austin
Minor: Computer Science, Minor: Engineering Robotics
Relevant courework: Mobile Computing with Android, Data Visualization, Algorithms and Data Structures, Vehicle System Controls, Computational Methods, Computers and C++ Programming
Additional Academic Projects
MMAxCalc Mobile Application
2016
- Developed both front end and back end of Android app to calculate user punching power utilizing accelerometer data from a wearable device.
- Created a database of user profile management for metrics tracking in SQLite
Professional Software Experience
Data Engineer
2023 - Present
Hopscotch Health, Chicago, Illinois (Remote)
- Built out data infrastructure supporting end-user workflows, 3rd party integrations, and analytics needs using PySpark and Palantir Foundry for distributed computing and storage systems
- Automated the ingestion of new healthcare data (HIE, ADT feeds) via APIs, SFTPs, and webhooks using Foundry ETL scheduling to enhance the quality of information available to clinics
- Engineered a predictive diagnostic pipeline integrating data feeds and vendor algorithms using AWS SAM, Lambdas, S3, and API Gateway to improve Medicare quality measures scores
- Scoped and implemented Azure AI OCR tool to assist with parsing patient EMRs to reduce time taken by clinical care and population health teams to find historical diagnoses
- Collaborated with data team to architect organizational ontology/data model
Data Science Engineer
2021 - 2023
Nomi Health, Austin, Texas (Remote)
- Developed AWS Lambdas using Serverless and internal APIs to ingest data into data warehouses (DocDB via Pymongo, Snowflake via SnowConn) used for customer-facing UI and analytics
- Securely ingested PII data into archival data lakes (S3 buckets) via SFTP connection using pysftp
- Iteratively built an EDI parser by translating healthcare rules from implementation guides into internal Python libraries later packaged as an internal API
- Utilized BeautifulSoup library and CRON triggers to periodically update database on medical codesets to keep the company’s medical claim parser up to date with healthcare standards
- Updated data model defined via Protobuf files according to new business requirements
Software Development Engineer in Test
2017 - 2020
Codeware, Austin, Texas
- Developed new testing frameworks using Javascript and Python to mimic testing functionality within Inspect dialogs incompatible with native TestComplete automation suite functions
- Extended functionality of existing automated tests written within in-house TestComplete automation suite to streamline UI testing and calculation verification
- Iteratively collaborated with software developers to implement new software features
- Improved software robustness through bug identification, replication, and root cause analysis
- Verified alignment of software calculations with international ASME design standards
Services
My Services
Portfolio
A few of my projects
- All
- Software Engineering
- Miscellaneous Engineering
Contact
Let's talk soon!