# Clara McCreery > Senior Software Engineer at Semgrep Location: San Francisco, California, United States Profile: https://flows.cv/clara Full-stack software engineer turned manager with experience in security and machine learning. My academic roots are in chemical engineering and I still have a passion for projects related to chemistry, medicine, and climate preservation. ## Work Experience ### Senior Software Engineer @ Semgrep Jan 2024 – Present | San Francisco, California, United States ### Engineering Manager @ Semgrep Jan 2023 – Jan 2024 | San Francisco, California, United States ### Senior Software Engineer @ Semgrep Jan 2021 – Jan 2023 | San Francisco, California, United States ### Software Engineer @ Semgrep Jan 2020 – Jan 2021 | San Francisco, California, United States ### Course Assistant for Principles of Computer Systems @ Stanford University Jan 2018 – Jan 2020 Taught intensive systems class in C and C++ to a section of 32 students, and helped more than 50 students at office hours. Material included filesystems, multiprocessing, signal handling, threading, and distributed computing. Example assignments were to generate a terminal shell, pull information off of an old hard drive, create a web proxy and news aggregator, and implement map-reduce. Received very positive student reviews emphasizing patience and clarity. ### Graduate Student @ Stanford University Jan 2018 – Jan 2020 | Stanford, California Computer Science ### Graduate Research Assistant @ Stanford University Jan 2018 – Jan 2019 Conducted machine learning research advised by Christopher Ré focused on multi-task learning, transfer learning, and weak supervision, specifically as applied to genomics data and NLP. Achieved a state-of-the-art score of 83.2 on the GLUE benchmark using massively multitask learning. Contributed to the Snorkel/MeTaL framework for weak supervision in a multi-task setting. ### Machine Learning Research Intern @ Curai Jan 2019 – Jan 2019 Led a natural language processing (NLP) research project to identify pairs of similar medical questions for a start-up that is applying machine learning to doctor-patient interactions. Achieved a 6% performance improvement over previous state-of-the-art models on this task. Wrote a first-author paper that was accepted to the ML4H workshop at NeurIPS 2019. Also animated the typing indicator for a doctor-patient chat application using React Native. ### Associate Technical Staff @ MIT Lincoln Laboratory Jan 2018 – Jan 2018 Promoted early for exceptional technical research and communication skills. Research creatively combined computer vision, data analysis, and chemical engineering to counter chemical, biological, and explosive threats. ### Assistant Technical Staff @ MIT Lincoln Laboratory Jan 2015 – Jan 2018 ### Research Analyst @ Carbon Jan 2015 – Jan 2015 | Redwood City Created a temperature modeling approach for predicting temperature profiles of polymer resins for an innovative 3D-production process. Used a combination of heat transport theory, computer modeling, and experimental validation. ### Undergraduate Researcher in Chemical Engineering @ Stanford University Jan 2014 – Jan 2015 Working with Jeremy Feldblyum in Zhenan Bao's research group on the growth and analysis of Covalent Organic Frameworks for thin film transistors. Applications for flexible electronics and sensors. ### Teaching Assistant (TA) for Chem 31x, Chemical Principles Accelerated @ Stanford University Jan 2014 – Jan 2014 Teaching a section of Chem 31x including labs, holding office hours, and grading midterm and final exams. ### GMACS Intern in KPI data management and analysis @ Bayer Pharmaceuticals Jan 2014 – Jan 2014 | Berlin, Germany I gained a lot of experience programming in Excel, using it to sort and analyze copious amounts of data. I designed a system that could be re-used with minimum work to analyze new data as frequently as desired. I was working for the Global Market Access team in Strategic Access and Operations for the Summer, and also used Excel to automate some of the budget calculations. ### Undergraduate Researcher @ Georgetown University Jan 2013 – Jan 2013 | The Swift Lab I conducted independent research on the effects of dopants on citric acid crystals, specifically on the transition between anhydrous and monohydrate forms. ## Education ### Master's degree in Computer Science Stanford University Jan 2018 – Jan 2020 ### Bachelor of Science (BS) in Chemical Engineering Stanford University Jan 2011 – Jan 2015 ### Walt Whitman High School Jan 2007 – Jan 2011 ## Contact & Social - LinkedIn: https://linkedin.com/in/clara-mccreery - Website: https://chmccreery.github.io --- Source: https://flows.cv/clara JSON Resume: https://flows.cv/clara/resume.json Last updated: 2026-03-20