Redesigned and enhanced a Django Music Therapy Web Application, increasing new user sign up rate by 40%

Optimized Active Record queries, reducing page load times by 150%

Resolved critical bugs in existing Rails SaaS monolith, improving access to core features by 1000s of users

Built AI chat-bot by integrating with OpenAI API, reducing support response time to almost 0

Designed and built back-end for new data ingestion paradigm, reducing time to onboard customers from 3 weeks to 1 hour

Integrated and standardized new Data Migration process into application, increasing stability of code that relied on data by 50%

Mentored engineers in Ruby on Rails and provided feedback, strengthening teamwork and increasing the number of proficient Rails developers

Collaborated with cross-functional teams, delivering high-quality software products on schedule

Designed and built new forms in Rails, Hotwire and React, allowing users to seamlessly summarize client legal documents

Designed and implemented new scalable SQS approach to handling asynchronous workloads, reducing job starvation by 90%

Managed deployments to multiple client environments using Kubernetes and Terraform, making features and fixes available to thousands of users

Led the initiative to identify and solve several vulnerabilities in the deployment process and documented the process succinctly in confluence, reducing outages and deployment failures by 30%

Identified and diagnosed several high priority production issues for the FLMTG legacy application, ensuring stability in the application for thousands of users

Performed code reviews and mentored other engineers, leading to more stable and readable code

Researched OpenTelemetry and built a POC to add it to the .NET Monolith, allowing developers to trace activity between the legacy and greenfield applications

Proposed clearer CI/CD process for multi-team environment and repository management, preventing environment specific issues and improving the fluidity of production deployments

Integrated Schema Registry into micro-service architecture, standardizing Kafka message data

Identified and quickly resolved critical issues with the .NET VC legacy monolith in On-Call rotation, ensuring reliability for thousands of users

Containerized the Analytics repository and created AWS cloud architecture for CI deployment, greatly simplifying deployments

Led the redesign of the Analytics project into a mature cloud-based architecture, improving scalability by 1000% and reducing time to implement new Analytics insights by 90%

Investigated and integrated Looker as a replacement to in-house Analytics views, empowering users and developers to generate their own BI insights from company data in 1/10th the time

Built Demo AI integration with Alexa for Eclipse conference, increasing product visibility and attracting hundreds of new customers