Andres Sanchez
AI Engineer × Product Thinker
I'm an AI Engineer with a strong focus on building AI-powered systems that are reliable, useful, and grounded in real user needs. I enjoy working end to end, from understanding the problem and the people behind it, to designing system architectures and delivering production-ready solutions. I'm particularly motivated by environments where I can take ownership beyond formal scope and turn ambiguous challenges into clear, actionable outcomes.
My goal is to continue growing as an AI Engineer while evolving toward technical and product leadership. Operating at the intersection of AI, user experience, and business impact, and contributing to systems that create meaningful, lasting change.
- Agentic orchestration using stateful multi-agent graphs
- RAG pipelines (hybrid retrieval, re-ranking, evaluation strategies)
- LLM API integration and tool-calling architectures
- Prompt engineering & structured output design
- AI evaluation frameworks (heuristics + LLM-as-judge)
- End-to-end ownership of AI features (problem → architecture → validation)
- User-centric workflow design for AI-driven systems
- Translating business requirements into technical roadmaps
- Systems thinking across AI, backend, and user experience layers
- Balancing model performance, cost, and latency tradeoffs
- Leading ambiguous AI initiatives from PoC to demo-ready systems
- Cross-functional alignment between engineering and product
- Structured decision-making under uncertainty
- Proactive scope definition beyond formal role boundaries
- Python, TypeScript
- Backend services (Node, Express)
- SQL / NoSQL databases
- Dockerized environments
- API design & integration
- Human–AI interaction and intelligent UX
- Product-driven AI engineering
- Applied AI systems at production scale
- Agent-based workflows for complex decision automation
Experience
Where I built, learned, and shaped the AI Technical Product Manager I'm becoming
Focused on building agent-based systems to support complex workflows. Work spanned product definition, system architecture, and hands-on implementation.
AI Engineer / Technical Product Lead
Oct 2025 — Present- Designed a graph-based multi-agent architecture to coordinate complex workflows, reducing user friction by ~60%.
- Led end-to-end AI PoCs from problem framing to validation, transforming ideas into demo-ready systems used in sales and executive discussions.
- Acted as a technical product manager, translating business goals into agent responsibilities, orchestration patterns, and evaluation flows.
AI product focused on automating financial procedures using LLMs and retrieval-based architectures. Used by professional services teams where accuracy, explainability, and reliability are critical.
AI Engineer Intern
Feb 2025 — Aug 2025- Built and improved RAG-based pipelines for document intelligence, focusing on accuracy, grounding, and personalization.
- Designed multi-knowledge-base retrieval strategies to adapt responses to different user contexts.
- Created a hybrid evaluation framework (heuristics + LLM-as-judge + metrics) to support production reliability decisions.
Mission-critical national payment infrastructure handling real-time, high-value transactions with strict SLAs, security, and regulatory constraints.
Intern Technical Consultant
Aug 2024 — Feb 2025- Supported development and maintenance of real-time payment systems operating under high availability and low-latency requirements.
- Worked closely with international financial institutions to align technical delivery with business and regulatory needs.
- Gained hands-on experience operating in high-stakes production environments with cross-team coordination.
National education initiative focused on increasing university access through standardized test preparation.
Regional Coordinator
Jan 2020 — Present- Scaled an internationally certified (ISO 9001:2015) education program across two regions.
- Led partnerships, logistics, and team coordination to enable 200+ students, with 80% advancing to university.
- Structured operations for long-term sustainability with minimal direct oversight.
Projects
Built for real impact. Designed for continuous growth.
Let's Collaborate
Open to AI-driven projects, research collaborations, and consulting.