# Scott Young > Senior AI/ML Infrastructure Engineer | Deep Learning | Pytorch | AWS Location: San Francisco, California, United States Profile: https://flows.cv/scottyoung Experienced Senior Software Engineer with a diverse background in startup and corporate environments, specializing in machine learning infrastructure. With a background in bioengineering, I bring a unique perspective to problem-solving, combining technical expertise with a deep understanding of systems and processes. I am passionate about leveraging technology and thrive in environments that strive to make a positive impact in our world. Driven by a desire to optimize systems and processes, I am deeply interested in deep learning and continually seek opportunities to innovate. Beyond my professional pursuits, I am actively involved in mentoring high school teachers and students on scientific research and experimentation. Outside of work, you'll find me pursuing my passions for skiing, rock climbing, cooking, and automation. Skills: Proficient in Python, C++, Golang, R, and JavaScript, I excel in architecting scalable data solutions using PostgreSQL, Docker, Apache Spark, Hadoop, and AWS Elastic Map Reduce (EMR). Skilled in deploying and managing infrastructure with Kubernetes, Helm, and Terraform. ## Work Experience ### Senior Software Engineer @ Meta Jan 2024 – Present | San Francisco Bay Area Instagram Recommendations ### Senior Software Engineer @ Hyperfine Jan 2021 – Jan 2024 • Created and deployed SOC2 and HiTrust compliant architecture for Kubernetes using Terraform and Helm with CI/CD • Deployed Kubeflow for data scientist usage with Kubeflow pipelines with tensorflow check pointing and automated spot instances for significant savings • Designed and built database using AWS DocumentDB (mongo) and S3 with fastAPI backend • Securely processed PHI sensitive Dicom h5 with asynchronous ETL pipeline for data scientist and company usage ### Data Engineer @ Moody's Analytics Jan 2018 – Jan 2021 | San Francisco Bay Area Established new data pipeline for automated report generating using AWS S3, EC2, and EMR. Improved previous implementation from single threaded R script to Apache Spark (written in pyspark) leading to a 6-fold increase in speed with the additional capability for multiple jobs. Created automated integration with Moody's SSO for use with generic EC2 instances using Flask and openresty (nginx) ### Full Stack Engineer @ Ridecell Jan 2017 – Jan 2017 | San Francisco, California, United States • Developed dynamic car status update feature for real-time customer notifications using React JS with Redux and WebSocket support. • Implemented Python Django Rest framework APIs integrated with PostgreSQL for seamless frontend and mobile device interactions. ### Graduate Researcher @ Northwestern University Jan 2013 – Jan 2016 • Prepared cells lines and tissue samples with cyrofixation for use with various super-resolution imaging modalities (cyro-STEM, STORM) • Collaborated with Wololask group to visualize nanoscale cellular changes with x-ray fluorescence microscopy • Analyzed 1 GB+ sized images for elemental changes at sub-diffraction length scales. • Collected 100+ STORM images and performed spectral analysis for significance testing ### Biomedical Engineer @ Certified Genetool, Inc. Jan 2012 – Jan 2013 | Pleasanton, California, United States Identified and resolved common bio instrument failures, mitigating future complications and saving over $10,000 in potential repairs, while also providing customer support and managing technician training programs. ### Research Assistant @ UCSF Jan 2010 – Jan 2010 | Helen Diller Family Cancer Research Building Conducted immunofluorescence assays, coupled proteins with beads to create unique markers, prepared serum samples, diagnosed system failures, expedited solutions, and managed clinical datasets ensuring HIPAA compliance. ## Education ### Masters of Science (MS) in Biomedical Engineering Northwestern University ### Bachelor of Science (BS) in Bioengineering and Biomedical Engineering UC San Diego ## Contact & Social - LinkedIn: https://linkedin.com/in/scotttyoung - Website: http://scottyoung.ai --- Source: https://flows.cv/scottyoung JSON Resume: https://flows.cv/scottyoung/resume.json Last updated: 2026-03-22