Tyler Gonzalez

Senior Software Engineer with 6+ years of experience building AI-driven automation and scalable software systems. Specializes in leading MVP development and delivering production-ready applications across startups and enterprise environments. Consistently improves operational efficiency by up to 70% and accelerates product delivery by 30-50% through AI integrations, data pipelines, and robust system design.

Strong expertise in full-stack development, backend architecture, and cloud infrastructure, focused on delivering reliable, high-performance solutions.

Senior Software Engineer (AI & Automation) at Grata Software (2024-09 – 2026-05)

• Led AI integration for Guestbook platform, reducing manual moderation effort by 40-60%
• Built scalable AI pipelines using Node.js and TypeScript to process user-generated data reliably
• Designed asynchronous processing (queues/workers), improving system performance under increasing load
• Automated data flows between platform and CRM systems, eliminating significant repetitive operations
• Improved PostgreSQL query performance, reducing latency and increasing consistency under load
• Implemented caching and background job processing to support platform scalability and stability
• Contributed to full-stack development (Next.js, APIs), accelerating feature delivery timelines
• Partnered with product and engineering teams to deliver production-ready AI features efficiently

Senior Full-Stack Engineer (AI Focus) at SoftDoes (2020-05 – 2024-07)

• Led development of 4 startup MVPs, delivering production-ready systems end-to-end
• Contributed to 3 additional MVPs, improving architecture, scalability, and backend performance
• Defined product scope and system architecture with founders, reducing delivery time by 30-40%
• Built AI-driven automation systems, reducing manual workflows by 40-70%
• Developed data pipelines for scraping and real-time processing, enabling scalable lead generation
• Improved backend and database performance, reducing latency by up to 35%
• Implemented CI/CD and Docker workflows, accelerating deployments by ~40%
• Delivered internal tools and automation platforms saving 10-20 hours/week per client
• Built secure, multi-tenant SaaS systems with robust authentication (JWT, OAuth)
• Integrated AI/ML features (NLP, OpenAI APIs) into production applications

Junior Software Engineer at Hazen Technologies Inc (2018-07 – 2020-05)

• Supported development of medical record review systems for insurance workflows
• Built data processing scripts to structure large volumes of unstructured records
• Applied OCR and NLP techniques to extract and classify key medical data
• Contributed to automation workflows, reducing manual effort by 30-40%
• Developed internal tools improving case tracking and reviewer efficiency
• Assisted backend services using Python and Node.js for document processing
• Supported AWS deployments while maintaining data security and compliance standards

Bachelor of Science in Computer Science – Stetson University (2014-09 – 2018-05)