Cristian – React, Node.js, Python

An AI-native startup focused on building an AI workspace for insurance actors in the US (brokers, carriers, employers). I led the guides/documents engineering squad, combining technical leadership with hands-on full-stack and AI development to build collaborative, AI-assisted document experiences.

• Led a team of full-stack developers, coordinating sprint planning, grooming sessions, stakeholder communication, and collaboration with Product and Design while remaining actively involved in implementation;
• Built complex, state-rich document editing experiences using ProseMirror and Tiptap, and implemented real-time collaborative editing with Yjs for conflict-free, local-first data synchronization;
• Developed end-to-end product features across React and TypeScript interfaces, tRPC APIs, Node.js/Fastify backend services, and AWS Lambda functions;
• Integrated LLM-powered workflows into the product to support AI-assisted content generation, document processing, and intelligent user interactions;
• Integrated the Claude API and SDK to enable Spanish-language translations, AI-driven content generation, and structured data extraction from PDF documents;
• Implemented LLM observability, prompt versioning, and experimentation workflows using Langfuse and MLflow to monitor, evaluate, and continuously improve AI features in production;
• Led code reviews, established team agreements and engineering practices, and participated in technical interviews to help grow the team while maintaining strong code quality standards.

It's a procurement platform that controls how companies source building systems for the U.S. commercial construction industry. I led full-stack development for procurement intelligence in the construction industry.

• Designed and implemented end-to-end features using React, TypeScript, and Node.js, delivering intuitive UIs and robust back-end services;
• Developed the back-end architecture with Nest.js, from a monolithic codebase to a set of microservices and independent background workers for asynchronous task processing;
• Built intelligence modules in Python and integrated Gemini to process and transform unstructured data into actionable insights;
• Leveraged AWS (Lambda, S3, RDS, ECS, ECR, CloudWatch) to deploy and manage cloud infrastructure, streamlining deployments and monitoring.
• Collaborated with leadership, product, and design teams to translate complex business requirements into technical solutions that automate the load-tendering workflow;
• Owned projects from concept through delivery in a remote, fast-paced environment, while establishing best practices.

It's an AI-driven company that focuses on marketing solutions, providing seamless, AI-powered content generation for both large and small companies. I led full-stack development for marketing automation and content generation.

• Developed front-end components with React, enhancing user experience with real-time content creation and interactive interfaces;
• Integrated LLMs into web applications, enabling dynamic text generation, content creation, designs, ads, and AI-driven personalized responses;
• Designed and optimized back-end services using Python, Django, and FastAPI for seamless communication between interfaces and AI models;
• Implemented WebSockets for real-time interactions and live updates, improving responsiveness and engagement;
• Leveraged AWS services for cloud infrastructure management, ensuring scalability and performance optimization;
• Managed background jobs with Celery and SQS, ensuring efficient asynchronous task processing and workload distribution.

It's an enterprise application that monitors policy adherence and surfaces real-time security metrics through dashboards, powered by voice and video usage insights. I served as a Senior Software Engineer (L3) on the Voice & Video Insights team, responsible for implementing the new enterprise product from scratch.

• Developed the new compliance insights dashboard using React and the company's design system (Paste);
• Contributed to the development of "Wise Owl" for the Voice & Video Insights products, an AI technology integrated into customers' consoles to provide enhanced insights based on user queries;
• Built and maintained Java and Spring Boot, as well as Golang microservices, interacting with Elasticsearch clusters containing millions of logs to generate insights;
• Developed Node.js and Nest.js backend-for-frontend applications to support communication between user interfaces and the company's downstream microservices;
• Managed AWS infrastructure, Kubernetes clusters, and EC2 instances, utilizing the company's CI/CD system Admiral for deployment and operations;
• Collaborated cross-functionally with teams to ensure cohesive product development.

It's a US startup focused on improving treatment and outcomes for people with substance use disorders. I played a Senior Software Engineer role focused on Frontend, Mobile, and Backend development in the Platform team, responsible for the evolution and maintenance of internal tools and their connection to the mobile app through which users conduct their recovery treatments.

• Participated in code writing, new feature development, maintenance, and technical decision guidance in an agile, cross-functional team along with designers and product managers;
• Developed internal tools to support customer support, marketing, operations, and scheduling — including payment processing and reward delivery to members in active treatment via various vendors.
• Contributed to front-end and mobile development using React and React Native.
• Participated in back-end development with Python and Django, and worked on improving CI/CD pipelines using CircleCI and GitHub Actions.
• Implemented Google Chrome scripts and extensions to facilitate system integration with external vendors and their tools;
• Ensured HIPAA-compliant deployments while maintaining and improving test coverage - exceeding minimums in mobile apps and keeping internal frontend coverage above 60%.

It's a ride-hailing mobile app that is exploring launching an electromobility vertical through a fleet-based operational model. I worked as a Senior Full Stack Developer, primarily with AWS, Golang, PHP, JavaScript, TypeScript, and React and its ecosystem.

• Developed new microservices written in Golang with a CLEAN architecture, over a Docker and Kubernetes infrastructure, with sync (REST APIs) and async (Kafka) communication;
• Supported PHP monolith maintenance and contributed to its migration to microservices;
• Implemented and improved CI/CD pipelines with Jenkins and GitHub actions.