Software Engineering Lead with a track record of building and scaling secure, resilient, high-performance systems that span the globe across various industries including AI, data platforms, analytics, digital ads, and financial services.
Experience
Led the automation of AWS account provisioning via AWS Organizations, CI/CD, Python, and Terraform. Accounts deployed with core services, baseline security configurations, and ownership information. Presented project at 2023 Company Kick-Off in Las Vegas
Led design, development, and deployment of a FedRAMP-compliant software supply chain security application on Amazon EKS. Built custom Terraform modules for cloud infrastructure management. Tools used: Terraform, Helm, Kubernetes, Docker, Python, AWS
Led the Okta-integrated IAM standardization in Azure and Microsoft Entra ID (Azure AD), using Apache Spark to analyze audit logs at scale and define standard roles in a multi-tenant environment
Deployed a custom Slack chatbot with interactive Slack Block support to aid DART implement various detection and incident response workflows. Implemented novel framework for performing unit and input validation testing at scale against the bot using Python and Tines
Participated in Agile software development practices, requiring rigorous planning at the quarterly and sprint levels. Conducted reviews in GitHub to enhance code quality, performance, and adhere to software engineering best practices
Led the development of a multi-lambda, Python-based OIDC Okta app for accessing sensitive user data by enterprise identities in AWS and AWS GovCloud. Implemented custom, robust authentication mechanism, and enforced network security controls to enhance system security
Collaborated in automating Azure hierarchy management (management groups, subscriptions) and core resources/security configurations in a multi-tenant setup via Terraform, CI/CD, and Python
Contributed to the creation, configuration, and clearing of AWS sandbox accounts dedicated to running proof-of-concept cloud workloads by the organization
Implemented Azure Policy to monitor and restrict risky open ports at scale across a multi-tenant setup, with a flexible exception process
2021 — 2022
Oakland, California, United States
Collaborated on a business-critical, customer-facing microservice handling sensitive PCI-DSS data. Deployed service to Amazon EKS. Wrote and reviewed unit, integration, load, and abuse case tests, leading to both the discovery and fixing of concurrency and non-concurrency related bugs. Gathered metrics for service performance/resource consumption analysis
Built automation pipelines with Python to ingest data from multiple 3rd-party APIs and SaaS apps, enrich, aggregate, and load data into tracking system for consumption by other engineering teams. Built dashboards to visualize processed data in an easily understandable, consumable way for leadership
Developed and maintained high-performance, scalable back-end REST APIs using Java, Spring Boot, Hibernate, Kubernetes, Docker, and AWS. Implemented integration with front-end developed with Redux and React.js, and styled front-end with React Bootstrap framework. Collaborated with front-end engineers to define and document clear API specifications, and ensure effective communication between front-end and back-end teams
Reviewed architectures of multiple large-scale cloud-native applications in AWS. Actively participated in code reviews in GitHub Enterprise, providing constructive feedback and suggestions to maintain code quality and adhere to best practices
Implemented a custom automated code ownership discovery system in Go for all company GitHub repositories, allowing security teams to collaborate with owners on various types of vulnerabilities immediately
Implemented comprehensive testing strategies including unit, integration, load, and security testing, within multiple CI pipelines across GitHub Enterprise. Improved the reliability, stability, performance, and security of back-end services
Built automation pipelines, data visualizations, and security tooling that permitted tracking of vulnerabilities, security configurations, and code ownership across Github Enterprise for compliance requirements
Researcher at the Partch Lab in UCSC, a lead biochemistry lab focusing on circadian rhythms in mammals and cyanobacteria
Performed a library screening of 500 fragment molecules against PPIE via a fragment-based drug discovery (FBDD) approach by Nuclear Magnetic Resonance (NMR). Analyzed acquired NMR data using NMRViewJ software and pandas package in Python
Molecular cloning, protein expression, and protein purification of numerous proteins via Ni-NTA column chromatography and AKTA Fast Protein Liquid Chromatography (FPLC)
Enzyme kinetics: performed fluorescence polarization to assay and evaluate kinetics of protein-ligand interactions between various PPIases for fluorescently-labeled peptide substrate. Evaluated results of assay using Microsoft Excel and Prism software
X-ray crystallography: successfully performed hanging-drop vapor diffusion technique to acquire PPIA crystals for soaking of cyclic peptides designed by the David Baker Lab and of chemical fragments. Looped crystals for acquirement of X-ray diffraction data
First author and presenter: Ali Yousefi, et al., Modulation of the circadian period: searching for isoform-selective cyclophilin inhibitors, Poster in Biophysical Society Conference, 2018, San Francisco
Mentored a Ph.D student in the Partch lab on FBDD by NMR library screening
Learning Support Services
Taught Statistics and Organic Chemistry classes to undergraduates with up to 40 students at a time
Led one-on-one tutoring sessions with DRC (Disability Resource Center) students on a regular basis
Customized teaching skills according to needs and concerns of individual students
Utilized my communication skills and gained substantial understanding of effective teaching and presentation methods while creating an open and engaging environment for students to work on their strengths and weaknesses
Education
2017
University of California, Santa Cruz
Bachelor's degree
2017