# Daniel Bork > Software Engineer Location: San Francisco, California, United States Profile: https://flows.cv/danielbork Hello! I am a software engineer with a strong background in algorithms, machine learning, and mathematics. I am especially passionate about using technology to enhance social welfare and make the world a better place. I believe that novel computational technologies have the potential to effect great changes in the world, whether through sequencing and tracking the progress of emerging diseases, democratizing access to education, or designing systems to help us stay in touch with one another during globally disruptive events. Skills: Python | SQL | C++ | JavaScript | Unix | HTML | CSS | React | GCP | AWS | Algorithms | Data Structure | Machine Learning | Data Science | Bioinformatics | Process Automation I'm always looking to connect with professionals in the technology industry - please feel free to reach out at danielkbork@gmail.com. ## Work Experience ### Software Engineer @ TeachFX Jan 2021 – Jan 2023 | San Francisco, California, United States - Developed and maintained a website and Django-based backend infrastructure to allow for automated analysis of classroom audio recordings - Led an effort to integrate educational workshop information and attendance logging into the TeachFX platform - Performed quantitative analyses of market-leading speech-to-text transcription providers to assess accuracy in a K-12 educational context - Designed and implemented automated data deletion policies to comply with SOC2 and GDPR user privacy regulations - Provided daily bugfixing and support for both the engineering team and external TeachFX users ### Software Engineer @ Yelp Jan 2018 – Jan 2019 | San Francisco, California, United States - Developed machine-learning based models for bootstrapping initial bids in auction-based advertising allocation system, leading to improved contract fulfillment and click-through rates for advertising partners - Developed, maintained, and analyzed algorithms for advertisement syndication, increasing budget fulfillment via syndication partners by more than a factor of two - Monitored performance of advertising contracts using the Python data science stack ## Education ### Master of Science - MS in Computational Biology Carnegie Mellon University ### Bachelor of Science - BS in Mathematics and Computer Science Harvey Mudd College ### High School Diploma North Hollywood High School ## Contact & Social - LinkedIn: https://linkedin.com/in/danielkbork --- Source: https://flows.cv/danielbork JSON Resume: https://flows.cv/danielbork/resume.json Last updated: 2026-03-29