Dima – Python, JavaScript, Django

It is a startup in a crypto space. It allows users to send and receive crypto assets through your social media with minimum friction.

• Built and scaled 2 major features which were used by 30,000+ of users and performed well under 100+ requests per second, allowing the service to grow and add 10,000+ users
• Restored service for 100k+ users within hours during a critical outage caused by Twitter API access cut-off, by swiftly designing and implementing workaround using alternative APIs. Leveraged my personal network to escalate the issue within Twitter, resulting in account unblocking within 48 hours.
• Resolved multiple instances of degraded service performance, restoring the service to sub-second request processing by analyzing slow SQL queries, adding relevant indices, caching or offloading workload to message queues, resulting in a 30% improvement in system performance and 20%+ infrastructure cost savings

It is a communications company that creates AI-powered products

• Reduced QA costs by 80% and minimized regressions saving hours of dev time by designing and implementing a low-maintenance integration testing suite for the platform, as part of the CI/CD pipeline
• Decreased infrastructure outages by 50% and increased its performance capacity by building an advanced GCP setup utilizing Docker, GCP auto scaling, auto backups, and strict security controls. Improved deployment and onboarding speed by encoding the infrastructure in Terraform recipes.
• Increased dev team velocity by successfully leading a large-scale database migration from PostgreSQL to Neo4j, despite having no prior experience with Neo4j. This move was driven by challenges we faced from working with graph-like, heterogeneous data.
• Decreased onboarding time and reduced the dev team load by documenting the architecture and writing Bash scripts, saving hours for new developers

It is an SF based company that solves billing and user management problems for micro SaaS companies.

• Increased development speed by 20% and improved user experience by optimizing frontend build process and integrating a hot reload feature with React Hot Loader
• Improved frontend performance by 15% and reduced maintenance costs by performing a large scale migration of the frontend from legacy AngularJS codebase to Vue framework
• Decreased onboarding time by building an automatic API schema generation using Swagger and improving documentation, enhancing team productivity and saving hours for new developers

It was a startup that provided business intelligence for motion picture research and evaluation

• Increased frontend performance by 30% and improved stability by executing a large scale migration from ad-hoc scripts to AngularJS framework, leading to improved user experience and reduction in page load
• Increased data search performance by 50% by implementing complex real-time data filtering and search feature, similar to IMDB filters, using Elasticsearch
• Led the onboarding process for two new engineers ensuring smooth integration into the team, and conducted regular code reviews leading to reduction in bugs
• Reduced regressions by 20% and improved product stability by integrating a CI/CD pipeline with automated testing

The company partners with social impact organizations to design and build technology that improves lives

• Led implementation of a complex real-time geographical data filtering feature, similar to AirBnB map view, utilizing Google Maps Marker API, enhancing user experience
• Created pixel perfect mockups and complex web features for several non-profit organizations, including the Skoll World Forum and the Global Philanthropy Forum