About

Sarah Johnson is a highly skilled Software Engineer with 8.19 years of relevant experience in the industry. She is currently working at Bond Financial Technologies, Inc. as a Backend Engineer, where she has been leading the build of multiple products from conception to monitoring in production. In her current role, Sarah is responsible for designing schemas and creating production databases in PostgreSQL and MongoDB. She is also coding in Terraform to create a secure, stable, and scalable infrastructure. Furthermore, Sarah is building financial APIs in Python using Git, Flask, Django, CircleCi, and Sentry. Sarah has a Bachelor of Arts (B.A.) degree from the University of California, Berkeley, where she majored in Cognitive Science and Gender & Women's Studies. Her education background has enabled her to gain valuable knowledge and skills in the field of neuroscience. Sarah is now looking for an analytic position in neuroscience where she can apply her skills and knowledge to solve complex problems. Prior to her current role, Sarah worked as a Machine Learning Engineer at Synapsefi, where she managed large image datasets, wrote scripts in Python to report daily statistics concerning the quality and quantity of the data, and trained computer vision models using Tensorflow. She has also worked at the University of California, Berkeley, as a Gender and Women's Studies Thesis, where she researched the trends in graduation rates of women and underrepresented minorities in Computer Science at Cal, interviewed professors, developed and conducted surveys, gathered and analyzed data, and proposed structural changes aimed at improving inclusivity and diversity in the department. Sarah's technical skills include Backend, Software Engineering, Python, ML, Terraform, Django, MongoDB, Flask, infra, Computer Vision, and Tensorflow. She is a highly motivated individual who is committed to delivering high-quality work. Sarah is also passionate about prioritizing inclusivity and diversity in the workplace.