Open to opportunities

Angel Nandayapa

@angelnandayapa

Message

I build production-grade LLM pipelines and workflow automation systems for real-world efficiency.

Mexico

Message

What I'm looking for

I’m looking for a team where I can ship production-grade LLM pipelines and backend workflow automation—building reliable, low-latency systems with measurable impact (automation accuracy, reduced processing time, and stable API integrations).

I’m an AI Automation Engineer shipping at the intersection of AI and backend automation. I build production-grade LLM pipelines and workflow automation systems using Python and Gemini, with an emphasis on reliable structured outputs and real-time processing. My work has delivered proven 80% efficiency gains through end-to-end AI integration.

Across independent projects and technical support, I focus on end-to-end reliability: asynchronous long-polling execution, secure credential management, and layered error-handling that keeps integrations stable. I’ve also improved automation accuracy across 100+ document variations through prompt refinement for document classification, and I optimize system performance (including BIOS/driver-level tuning) to reduce latency and keep live workflows stable.

Experience

Work history, roles, and key accomplishments

Current

AI Automation Engineer

Current

Independent

Jan 2025 - Present (1 year 5 months)

Built a production cloud-based AI expense tracker using Python and Gemini LLM, reducing manual accounting time by 80% via real-time receipt/invoice parsing and structured JSON extraction. Improved Google Sheets injection reliability to near-zero errors and increased live broadcast transmission stability by ~40% through robust async long-polling, credential management, and hardware/BIOS+driver tuni

Python Prompt Engineering JSON Long Polling Credential Manager

Technical Support Contributor

Empower Servers

Aug 2022 - Aug 2025 (3 years)

Maintained 95%+ first-contact resolution by diagnosing backend connectivity failures, latency bottlenecks, and server-side configuration issues across distributed technical users. Reduced average issue resolution time by ~30% by building internal step-by-step documentation and improved uptime reliability during peak incidents through FTP-based deployment workflows and control panel tooling.

Technical Support Configuration FTP Documentation Uptime Reliability Control Panel Tooling Distributed Systems

Education

Degrees, certifications, and relevant coursework

Tecnológico de Monterrey (ITESM)

B.Sc. Computer Technologies Engineering, Computer Technologies Engineering (ITC)

2025 -

Activities and societies: Active HackMTY competitor (AI-powered solution in a 24-hour sprint); Competitive esports athlete (League of Legends, Lead ADC).

First-year B.Sc. student in Computer Technologies Engineering (ITC) at Tecnológico de Monterrey, with production-deployed AI projects beyond current coursework; competed in HackMTY building an AI-powered solution in a 24-hour sprint.