Carnegie Mellon University

University of Cambridge

Software Engineer passionate about social impact tech work

Wunder

Senior Software Engineer

• Managed team of 5 back- and front-end engineers focused on greenfield work and medium-to-large refactors
• Hired and mentored two mid-level engineers, and helped interview for other positions across the department
• Collaborated with product team and tech leads to review project designs, identify open questions, make core architecture decisions, and provide high-level estimates
• Led back-end refinement sessions, code reviewed PRs, unblocked team where needed
• Supported team transition to Scrum

Benefits Data Trust

Software Engineering Manager

• Implemented a new mobile web application that enables clients to send required documents by taking photos with their smartphone [Rails, Golang]
• Set up the application infrastructure and CI/CD pipeline [GCP, Terraform, Docker, Kubernetes]
• Co-designed and implement a large refactor of our data sharing and user permission systems [Rails, Pundit] 
• Designed and implemented a custom data preprocessing and normalization library, and integrated it in our ETL pipelines [Python, Airflow]

Back-End Software Engineer

• Developed workshops on energy and climate for audiences in government, nonprofit, industry, and business sectors.
• Coached energy experts 1-to-1 in communication content, visual design, and delivery.
• Assisted the City of Pittsburgh in developing the City’s Climate Action Plan.

Science & Engineering Ambassadors Program, National Academy of Sciences

Program Coordinator

Analyzed patterns of thermostat use to inform improvements in the auto-schedule algorithm and user experience of a smart thermostat project.

Google

Software Engineering Intern

• Started a science communication program at CMU teaching graduate students to talk about their work to the media, policy makers, and the public.
• Provided training in storytelling, presentation and writing for non-technical audiences, and talking to the media to 400+ students from across all STEM departments and years.
• Team named one of top 30 U.S. innovators in science communication in National Science Foundation survey.

Co-Founder, Public Communication for Researchers

• Coursework: Machine Learning, Statistics, Optimization
• Research: Developed a theoretical framework and novel algorithms for spectral learning – a
class of learning and inference algorithms for models with latent variables, for which log- likelihood methods fail due to high non-convexity.
• [Note: For health reasons, left program early without a degree.]

Ph.D. Student, Machine Learning

Front- and back-end development for the iPhone Google Search app.

Adona Iosif