Lucas – Python, React, AWS

Backend platform for AI-driven expert sourcing and lead scoring, built on a Python/Django monorepo with React frontends and AWS infrastructure. Core features include LLM-powered willingness scoring, deduplication logic, and similar-profile discovery, supporting multiple internal applications across a shared component library.

• Built and maintained multiple Django and Celery backend services in a Python monorepo for dashboard reporting and AI-driven lead sourcing.
• Designed paginated REST APIs with Django Ninja and Pydantic request/response schemas; built Django admin layers for internal tooling.
• Integrated Anthropic and LangChain into production backend services for AI-assisted candidate sourcing, lead scoring, willingness scoring, deduplication, and similar-profile discovery.
• Scaffolded a React/TypeScript monorepo frontend and created a shared component library consumed by multiple applications.
• Implemented end-to-end authentication with Keycloak OIDC — token validation, protected routes, cross-subdomain sessions, and magic-link login.
• Delivered AWS infrastructure on ECS Fargate via Terraform — wrote CI/CD pipelines and production Dockerfiles for backend and frontend deployments.
• Added Sentry monitoring and API key authentication to shared Django libraries.

Health-tracking platform for at-home diagnostic test kits, enabling users to register kits, complete lifestyle questionnaires, and monitor their results. Includes a back-office management system for kit logistics and fulfillment operations.

• Built backend services with Python and FastAPI for kit registration flows and questionnaire logic.
• Developed React-based frontend for user-facing kit tracking and health data visualization.
• Deployed services on AWS and GCP infrastructure with Docker.
• Participated in code review and sprint planning.

Manufacturing management platform providing a unified interface for engineering and procurement teams to collaborate on PCB design revisions and manage production scaling from prototype to high-volume runs, eliminating the need to switch vendors.

• Contributed to Python microservices backend using FastAPI and Flask.
• Deployed and managed services on AWS using Docker.
• Participated in code review and sprint ceremonies.

Health and wellness platform enabling users to register at-home test kits and track their health goals through a gamified experience, with cross-platform mobile and web applications, goal-setting flows, and personalized health data insights.

• Implemented a GraphQL-based backend architecture backed by MongoDB Atlas for data storage.
• Built a Python API layer using Flask and FastAPI with PostgreSQL as the primary relational database.
• Developed cross-platform mobile applications (React Native) alongside the web React frontend.
• Applied Domain-Driven Design principles for maintainable service boundaries and cohesive data models.
• Integrated Salesforce for CRM and business operations workflows.
• Groomed backlog and planned sprints; participated in code review across the team.

Credit-building platform for US consumers, providing financial tools to establish and improve credit history. The system manages the full credit product lifecycle, user financial data, and integrations with CRM and third-party financial services.

• Integrated core microservices with the Salesforce platform to support CRM-driven financial operations and customer data management.
• Built and maintained backend API services using Python, Flask, and FastAPI with PostgreSQL as the primary database.
• Applied Domain-Driven Design principles to enforce clear service boundaries and maintain a cohesive data architecture.
• Contributed to sprint planning and backlog grooming.

Core platform supporting a suite of digital content marketing products — including accounts management, subscription workflows, and financial operations — built on a microservices architecture with dedicated databases per service.

• Contributed to centralizing shared data across the full product suite through a microservices-based architecture.
• Implemented per-service isolated databases to enforce service boundaries and reduce coupling.
• Built features using Node.js, TypeScript, and React across backend services and frontend applications.
• Used AWS for scalable, reliable infrastructure; managed multi-service deployments with Docker.