Cacica
From United States (UTC-4)
Cacica – AWS, Python, React
Cacica is a senior full-stack engineer with core strengths in Python, React, TypeScript, and AWS, and a proven track record of building AI-driven products from the ground up. Cacica demonstrates strong communication, end-to-end ownership, and startup readiness, with notable experience designing multi-agent AI systems and production architectures. Cacica's background includes mentoring, hiring, and direct client engagement. Areas for growth include live coding fluency, advanced database indexing, and server-side React.
9 years of commercial experience in
Main technologies
Additional skills
Direct hire
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Let’s get started today!Experience Highlights
Senior Full-stack AI Engineer
AI-powered language learning platform enabling students to practice conversational skills with AI tutors in real-world scenarios.
- Built the platform from concept and architecture through production launch.
- Ran daily user feedback loops with students and teachers and translated recurring pain points into product changes across student- and teacher-facing tools.
- Designed and owned the backend API in Python using FastAPI.
- Integrated Stripe for billing and Auth0 for authentication.
- Deployed the platform on AWS using ECS, API Gateway, S3, RDS/PostgreSQL, and CDK/CloudFormation.
- Implemented CI/CD via GitHub Actions and end-to-end test coverage using Playwright.
- Architected a multi-agent AI system with specialized agents for conversation generation, milestone detection, error identification, and personalized feedback.
- Built a voice-native conversation client in React and TypeScript using Vite.
- Built a React Native mobile app in response to user demand for a native experience.
Full-stack Engineer
An industry leader in the automotive b2b SaaS space, and the products I worked on while at Impel are a part of their core product suite.
- Built the original 0→1 prototype for an AI chat product for automotive dealerships and helped drive it through launch with a small engineering team.
- Ran point on product engineering post-launch, owning client feedback, bug fixes, and feature development for dealerships worldwide.
- Acted as the primary technical responder to user-reported issues and rapidly diagnosed and shipped fixes based on direct feedback.
- Built a video transcoding pipeline for automotive media assets using FFmpeg, AWS Lambda, and S3.
- Self-directed the majority of end-to-end development across UI/UX, backend, analytics, and reporting.
- Authored an estimated 80% of the codebase and became the team's go-to expert on the product.
- Collaborated closely with engineering and product, contributing to code reviews, tech talks, and technical interviewing and hiring decisions.
Founding Software Engineer
A platform to help the gluten-free community easily locate dining options that fit their dietary needs. Cacica built the product end-to-end, from initial concept through launch, including the backend REST API, frontend interface, and deployment infrastructure.
- Led development of a full-stack web platform connecting users with gluten-free-friendly restaurants.
- Engineered the backend using Node.js to build a REST API powering the platform's core search and data features.
- Built a responsive, user-friendly front-end using React and Redux, focusing on an optimized user experience.
- Set up Docker-based DevOps and CI/CD pipelines, which reduced bugs by 70% and increased uptime to 99.95%.
- Owned the product across the full lifecycle: architecture, development, deployment, and iteration as a founding engineer.
Founding Software Engineer
A data dashboard to track U.S. Covid infection metrics in real time, giving users an accessible way to visualize and understand the spread of the pandemic across regions.
- Founded and independently built a public-facing dashboard tracking U.S. COVID-19 infection metrics.
- Designed and implemented ETL pipelines using Apache Airflow to ingest, process, and update infection data.
- Built interactive data visualizations using D3.js to make complex epidemiological data easy to interpret.
- Owned the project end-to-end, from data sourcing and pipeline architecture to front-end visualization and deployment.