Architecture & Infrastructure

• Lead architectural decisions for platform evolution, balancing feature velocity with system reliability and long-term maintainability.
• Drove migration of internal systems to a unified AWS + Docker environment, standardizing deployment consistency across the organization.
• Owned end-to-end infrastructure — from CI/CD pipeline configuration to production incident response.

Engineering Operations

• Designed and enforced access control policies, security boundaries, and environment isolation strategies to support onboarding of new team members and branches.
• Established engineering standards, code review processes, and internal tooling that improved operational efficiency across technical and non-technical teams.

Infrastructure & DevOps

• Deployed on AWS using ECS Fargate, RDS PostgreSQL, and an Application Load Balancer with HTTPS via ACM; built a GitLab CI/CD pipeline with staged manual deployments (dev → staging → production) and Docker images pushed to GitLab Container Registry.
• Engineered an idempotent database migration system (Python + Alembic) with race condition protection via PostgreSQL advisory locks, supporting zero-downtime deployments across 3+ ECS tasks.

Backend

• Built a RESTful API with role-based access control across a 6-tier user hierarchy and JWT authentication with a 3-layer Redis caching strategy (50× faster auth, 90% fewer DB hits).
• Implemented a real-time webhook ingestion pipeline from a third-party platform — including payload normalization, deduplication, and automatic record matching by email and phone.
• Engineered a record merge system with bidirectional relationship repair, per-field selection UI, name normalization, and auto-merge suggestions.

Frontend

• Built a complex multi-view frontend in React + TypeScript including an Excel-style data table with inline editing, per-column sort/filter, lock-toggle controls, and hover-reveal UI patterns.
• Created reusable anchor-based, viewport-clamped popout components used across multiple views; integrated real-time geocoding and mapping via Leaflet.js.

Integrations

• Integrated with a third-party platform via Zapier webhook automation, mapping 30+ field transformations with validation and enum normalization.

FastAPI & Automation

• Developed an end-to-end FastAPI service to process and manage human capital data, exposing structured endpoints consumed by downstream automation workflows.
• Integrated the backend into an N8N automation pipeline, enabling business operations to trigger, transform, and route data without manual intervention.

AWS & Containerization

• Managed containerized service deployments on AWS, learning how to update running containers and push changes through environments without breaking existing integrations.
• Navigated version-to-version compatibility challenges across Docker images and dependencies, developing a working understanding of how container lifecycles and environment configuration interact in cloud deployments.

Machine Learning

• Researched and identified key biomechanical and training factors affecting athlete velocity, then used those findings to build a supervised ML model in Python — translating domain knowledge into a working predictive system.
• Deployed the model to surface individual performance deficiencies, giving coaches and athletes actionable data rather than raw output.

Automation & Feedback

• Integrated the ChatGPT API to automatically generate concise, readable feedback from model outputs — turning numerical predictions into plain-language performance summaries for athletes.
• Set up GitHub Actions for CI/CD, automating model validation and deployment on each update.