Connor Simoni

Architected and deployed a high-throughput Python microservice on AWS Lambda processing 50,000+ financial transactions daily, reducing latency by 40%. Led migration of legacy monolith to a TypeScript/Node.js serverless architecture using AWS Step Functions and DynamoDB, reducing infrastructure costs by 30%. Developed a React-based dashboard for real-time portfolio analytics with sub-second query responses. Integrated scikit-learn models to predict market anomalies, improving anomaly detection accuracy by 25% and reducing false positives. Implemented Terraform modules for repeatable infrastructure deployment across dev/staging/prod, achieving 99.9% uptime. Optimized PostgreSQL schema and Redis caching for portfolio calculations, cutting query times by 60%. Established a pytest-driven CI/CD pipeline with GitHub Actions, increasing deployment frequency from weekly to daily. Collaborated with security to enforce OAuth2 and JWT across internal APIs, contributing to SOC 2 audit success with

Engineered scalable Python backend services for an order processing pipeline handling 1M+ transactions per day, ensuring 99.95% uptime. Built React/Redux frontend for a restaurant management console, adopted by 5,000+ locations within the first year. Designed event-driven architecture using Kafka and Airflow for real-time inventory synchronization across distributed warehouses. Optimized MongoDB aggregation pipelines for analytics reporting, reducing report generation time from 15 minutes to under 30 seconds. Implemented Docker containerization and Kubernetes orchestration for microservices, enabling zero-downtime deployments. Mentored 3 junior engineers through code reviews and pair programming, accelerating team velocity by 20%. Developed New Relic dashboards and alerts for system health monitoring, reducing mean time to detection by 50%.

Developed Java Spring Boot microservices for product catalog management, serving 10M+ daily API requests. Built Angular-based admin interface for inventory management, reducing manual data entry by 70%. Automated AWS CloudFormation deployments for staging environments, cutting provisioning time from days to hours. Integrated Elasticsearch for product search functionality, improving search relevance score by 35%. Wrote comprehensive JUnit and integration tests, achieving 90% code coverage across critical services.