Summary
Manar Safi is a software engineer with a decade of experience building production-grade systems and safe AI, currently contributing as a Member of Technical Staff at Anthropic after founding an early-stage stealth startup. She brings full-stack fluency from embedded research on sensor privacy and CNNs to scalable cloud deployments and localization platforms, with hands-on experience in Python, Terraform, AWS, and mobile app backends. At Grammarly she spent six years shipping language-focused engineering work, and earlier research roles at ICSI and the Air Force Research Lab show a strong foundation in machine learning and privacy-sensitive instrumentation. Manar combines academic rigor from UC Berkeley with practical startup grit—she’s contributed to open-source tools and reduced repo bloat and developer friction in prior roles—making her adept at turning research insights into reliable, team-friendly systems.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.) Computer Science, Bachelor of Arts (B.A.) Computer Science at University of California, Berkeley
English, Spanish, arabic - conversational