About Cory
💥Senior Full-Stack & AI Engineer | Next.js, Supabase, Python (FastAPI) | SaaS & Automation💥
I’m a Senior Full-Stack Engineer with 7+ years of experience helping startups and enterprises launch scalable SaaS, marketplaces, and AI-driven platforms. I bridge the gap between high-performance frontends (Next.js/React) and robust backends (Node.js/Python), specializing in AI orchestration and complex payment logic.
💡 How I deliver value:
I take ownership from idea to deployment. Unlike generalists, I focus on production-ready systems—specifically on the Vercel/Supabase stack—with heavy integration of AI (LangChain, Claude, OpenAI) and automation (n8n, ETL pipelines).
⚙️ Core Technical Stack:
✔️Frontend & Hosting: Next.js (App Router), React, TypeScript, Vercel Edge Functions.
✔️Backend & DB: Node.js, Python (FastAPI / Flask), Supabase (PostgreSQL, RLS, Auth), Redis.
✔️AI & Automation: OpenAI, Anthropic (Claude), LangChain, Gemini, structured outputs, custom reporting bots.
✔️Payments & Ops: Stripe (Connect, Marketplace), Docker, CI/CD (GitHub Actions/GitLab).
🚀 Recent Production Results:
✔️Real-time AI Engine: Built a Gemini PWA handling 10k+ daily sessions. Architected Python microservices (Dramatiq) to manage 300s+ LLM workflows with automatic retries.
✔️Stripe Marketplace: Shipped a multi-vendor platform with KYC, Connect onboarding, and wallet offsets. Managed $400k GMV with only 2.8% payment variance.
✔️Automated Analytics: Designed reporting dashboards that ingest external APIs and generate AI-powered summaries for operational decision-making.
🤝 How I work:
I practice "clean architecture" with reliable communication (async via Loom/PRs) and fast delivery. I am active on Malt daily—I respond within 24 hours and keep my availability strictly updated to ensure smooth matching for urgent projects. Based in Buenos Aires (overlap with LatAm & EU timezones).
👉 Invite me to audit your existing Python microservices or build your MVP from scratch.
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- C3.aiSenior Software Engineer Team LeaderE-COMMERCEJanuary 2024 - November 2025 (1 year and 10 months)Redwood City, CA, USA📌Built and maintained full-stack enterprise AI applications on C3 AI Platform using Python, Java, and TypeScript—working across data integration, model orchestration, and frontend visualization.📌Developed internal developer tooling that automated code quality analysis and performance regression detection, cutting manual review effort by ~30%.📌Designed and shipped interactive dashboards (React + TypeScript) that visualized real-time engineering metrics (test coverage, build status, code churn), enabling data-driven decisions across multiple teams.📌Integrated LLM capabilities (OpenAI, early RAG patterns) into internal platforms—built a chatbot that allowed engineers to query deployment logs and metrics using natural language.📌Optimized backend services (Python, PostgreSQL) responsible for model training pipelines and inference endpoints, improving query performance by ~40% through query refactoring and indexing.📌Led end-to-end feature development: from requirements gathering with product managers to deployment on AWS/Azure using Docker and CI/CD (GitHub Actions, Jenkins).📌Refactored legacy Java-based microservices into modular Python services, reducing deployment time and improving testability.📌Implemented role-based access control (RBAC) and audit logging for enterprise clients, ensuring compliance with security standards.📌Mentored 3 junior engineers through code reviews, architecture design sessions, and pair programming—focused on clean code, testing discipline (pytest, JUnit), and scalable patterns.📌Automated ETL pipelines that ingested streaming telemetry data from industrial sensors (energy sector clients), feeding predictive maintenance models.📌Collaborated with LLMOps engineers to deploy and monitor LLM-based features, including prompt versioning and cost tracking.📌Owned the full development lifecycle for multiple internal tools, from initial prototype to production support, with on-call rotation every 6 weeks.
- Data RobotMachine Learning Engineer Team LeaderLEGALFebruary 2021 - December 2023 (2 years and 10 months)Boston, MA, USADesigned and delivered full-stack features for DataRobot’s enterprise AI platform, enabling data scientists and business users to build, deploy, and manage machine learning models at scale.Core Contributions:📌Frontend Development: Built responsive, data-intensive dashboards using React and TypeScript, allowing users to visualize model performance metrics, feature importances, and prediction explanations in real time.📌Backend APIs: Developed RESTful and GraphQL APIs in Python (FastAPI) and Node.js to serve model predictions and orchestrate training workflows across distributed compute clusters.📌Workflow Automation: Engineered automated pipelines for model retraining and deployment, integrating with DataRobot’s MLOps capabilities to reduce manual intervention by 40%.📌Data Integration: Created connectors for ingestion from cloud data warehouses (Snowflake, BigQuery, Redshift) and streaming sources (Kafka), supporting both batch and real-time prediction use cases.📌Performance Optimization: Reduced API latency by 35% through query optimization (PostgreSQL, Redis caching) and pagination strategies for large dataset exports.📌UI Component Library: Built and maintained a reusable component library (Storybook, Styled Components) adopted by 5+ internal teams, accelerating feature delivery across the platform.📌Testing & Quality: Implemented unit, integration, and E2E tests (Jest, React Testing Library, Cypress), achieving 85%+ code coverage for owned modules.Key Achievements:📌Shipped an "Automated Feature Engineering" UI that reduced model prep time by 50% for enterprise customers.📌Received team recognition for identifying and fixing a memory leak in the prediction server that improved uptime by 99.95%.📌Mentored two junior engineers through code reviews, pair programming, and technical design documentation.
- TechFusion Inc.Middle-level Python EngineerHEALTH AND WELLNESSAugust 2018 - December 2020 (2 years and 4 months)San Francisco, CA, USAAt TechFusion Inc., a B2B SaaS company serving logistics and supply chain clients, I was the lead frontend developer on a team of six, responsible for rebuilding and modernizing the company’s core analytics dashboard platform.What I did:📌Platform Modernization: Migrated a legacy jQuery dashboard to React + TypeScript, reducing page load time by 40% and improving maintainability across 15+ dynamic modules. Implemented Redux for state management, enabling real-time data visualization of shipment tracking and inventory metrics.📌Backend API Development: Built and maintained RESTful APIs using Node.js and Express, serving data from PostgreSQL databases. Optimized slow queries, reducing average response time from 800ms to 250ms.📌Third-Party Integrations: Integrated Stripe for subscription billing, handling webhooks for payment confirmations and automated invoice generation. Connected Twilio API for SMS delivery notifications to warehouse managers.📌DevOps & Deployment: Containerized the full-stack application using Docker and set up CI/CD pipelines with GitHub Actions, enabling automated testing and deployment to AWS EC2. Reduced deployment time from 2 hours to 15 minutes.📌Feature Ownership: Owned the "Inventory Forecasting" module end-to-end — from UI design (React) to backend logic (Node.js) to database schema design (PostgreSQL). This feature reduced stockouts by 25% for pilot customers.📌Code Quality: Introduced ESLint, Prettier, and Jest for unit testing, raising test coverage from 10% to 70% within six months. Conducted code reviews for junior developers.📌Client Support: Collaborated directly with two enterprise clients to troubleshoot production issues, write hotfixes, and gather requirements for new features — closing an average of 15 tickets per sprint (JIRA).Tech Stack: React, TypeScript, Redux, Node.js, Express, PostgreSQL, Stripe, Twilio, Docker, AWS EC2, GitHub Actions, JIRA, Jest.
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Education
- Bachelor in Computer Science & MathematicsFlorida Institute of Technology2016Bachelor in Computer Science & Mathematics
Certifications
- AWS Certified Solutions Architect - AssociateAmazon Web Services2023
- Meta Front-End Developer Professional CertificateMeta via Coursera2022