Tech Stacks: Django, Ruby on Rails, Python, AWS, React, Node, FastAPI, Next

• 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

Tech Stack: Ruby on Rails, Next.js, React, AWS Airflow, Snowflake, Tailwind

• 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

Tech: Ruby on Rails, React, AWS SQS, Kubernetes, Terraform

• 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

Tech: .NET, Kafka, Go, gRPC, Microservices, OpenTelemetry

• 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

Tech: Ruby on Rails, AWS Airflow, React, Looker, Snowflake, PostgreSQL

• 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