AG.

Azahid García

Applied AI Engineer · LLM Product Development · TypeScript · Python · React

Mexico City, MX (Remote)

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Summary

Applied AI Engineer with production experience shipping LLM-powered features, agentic workflows, and multi-agent orchestration systems in Python and TypeScript/Next.js. I build AI products users actually rely on — not demos — with eval loops, structured output contracts, and observability infrastructure that makes quality degradation visible before it reaches users. Four years of enterprise consulting (WMS/ERP across LATAM and EMEA) means I sit comfortably at the boundary between an ambiguous business problem and the engineering decision that resolves it. Currently building Strivark, a full-stack AI consulting platform with active enterprise clients, and doing adversarial evaluation work on frontier AI models at Outlier.

Technical Skills

AI & Agents

  • LLM integration (Claude API, OpenAI SDK, Ollama)
  • MCP (Model Context Protocol)
  • Pydantic AI v1.85+ · FallbackModel orchestration
  • Tool schema design · Structured output contracts
  • Eval loop design · Guardrails · Output quality gates

Frontend & Full-Stack

  • TypeScript / JavaScript (ES modules)
  • Next.js 14 · React · Tailwind CSS · Radix UI
  • Framer Motion · production UIs at scale
  • WordPress API · WooCommerce

Backend & Data

  • Python (primary)
  • PostgreSQL (RLS, partitioning, schema design)
  • Supabase (Edge Functions, Auth, Realtime)
  • pgvector for RAG · n8n automation pipelines
  • REST API design · ETL/ELT

Agentic Workflows

  • Multi-agent orchestration
  • Tool registration & discovery
  • Eval loops · Per-channel instrumentation
  • Fallback chain design

Infrastructure

  • Docker · Vercel (production) · GitHub Actions (CI/CD)
  • Azure Fundamentals certified · Git

Enterprise Context

  • Blue Yonder WMS/ERP (dual certified)
  • Cross-regional LATAM/EMEA async delivery
  • Client-facing technical communication
Work Experience

Founder & AI Engineering Lead

Strivark

Jan 2026 – Present

  • Designed and deployed LLM-powered agent workflows for enterprise clients using Claude API; architected system prompts and multi-turn orchestration for a complete client-facing product suite.
  • Implemented real-user evaluation and output scoring across active client engagements — measuring quality against concrete criteria, not synthetic benchmarks.
  • Built and shipped full-stack consulting platform (Next.js 14 + Supabase + Stripe + SPEI + Mifiel + n8n) from zero to paying clients; own the entire stack.

AI Training Specialist (Freelance)

Outlier

Sep 2025 – Present

  • Adversarial evaluation: designed tasks to stress-test reasoning limits in frontier AI models (Terminal Bench 3.0); developed reusable framework improving consistency and coverage across technical evaluation domains.

Senior Software Consultant

Netlogistik by Argano — LATAM + EMEA

Jan 2025 – Sep 2025

  • Worked with client engineering teams across LATAM and EMEA on enterprise system implementation and automation; collaborated on ML projects for warehouse optimization impacting multi-regional teams.
  • Operated across UTC-6/EMEA continuously — consistent significant overlap with US and European business hours.

Software Consultant

Netlogistik by Argano — LATAM + EMEA

Jun 2022 – Dec 2024

  • Automated production WMS/ERP environments with Python and SQL; implemented Blue Yonder WMS/ERP systems, earning dual Technical and Functional Consultant certifications.
  • Managed multiple concurrent client projects across LATAM and EMEA, translating complex technical behaviors into actionable specifications for non-technical stakeholders.

Junior Developer

DocSolutions

Jan 2022 – Jun 2022

  • Backend scripting, SQL optimization, cloud platform training, enterprise system troubleshooting, and machine learning trainer.
Key Projects

OpenClaw — MCP Agent-to-Tool Bridge

Personal Project

Jan 2026 – Present

  • Schema-driven tool infrastructure: socket-based MCP bridge exposing 15 tool categories to AI agents; tool registration, discovery protocol, and schema validation that surfaced description-level ambiguity as the primary failure mode.
  • Eval-first instrumentation: tracked per-tool success/failure and response time across 100+ agent interactions; iterated on schema descriptions based on misfire patterns until agents used tools correctly without added context.
  • Core insight shipped: every systematic tool misuse mapped to ambiguous schema descriptions, not broken code — reshaped how I write all tool contracts, system prompts, and structured output specs.

Revenue Engine — Multi-Agent Orchestration System

Personal Project

Mar 2026 – Present

  • Resilient LLM infrastructure: Pydantic AI v1.85+ FallbackModel chain (Ollama → cloud); model latency and fallback frequency instrumented so quality degradation is visible before it affects output.
  • Structured output as quality gate: Pydantic model schemas fail loudly with structured error output when model output is malformed — no silent data corruption propagating downstream across 6 channels.
  • Eval-first development: each agent channel has explicit task-success criteria; failed outputs logged with triggering input for prompt iteration — not silently discarded.

Strivark — B2B AI Consulting Platform

Founder · Lead Engineer

Jan 2026 – Present

  • Production Supabase architecture: PostgreSQL with RLS for multi-tenant isolation, Supabase Auth (OAuth2/JWT), Edge Functions, Realtime for live proposal status — serving active enterprise clients.
  • AI agent workflows in production: Claude API integrations with n8n automation pipelines, structured failure alerts, and output logging; surfacing degraded agent behavior before clients notice via observability layer.
  • Full-stack platform shipped: Next.js 14 + Supabase + Stripe + SPEI + Mifiel (digital signatures) + n8n — from zero to paying enterprise clients.

img2blend — Python CLI Developer Tool

Personal Project

Nov 2025 – Present

  • Pipeline reliability: subprocess; each stage fails explicitly — no silent corruption, no partial renders downstream.
Education

B.Sc. Systems Engineering (in progress)

TecNM — Instituto Tecnológico Nacional de México

2021 – Present

Partial B.Sc. BQF

UNAM

2019 – 2021

Technical Degree in Programming

CECyTEM Tultitlán

Graduated with highest academic achievement of the generation.

2015 – 2018

Certifications & Continuous Learning
C1 Cambridge English AdvancedCambridge Assessment English / Atlas Language School, Ireland
2023
Blue Yonder WMS — Technical Consultant & Functional Consultant (dual)Blue Yonder
2025
Azure FundamentalsMicrosoft LaunchX
2021
AI FundamentalsMicrosoft Innovation Mexico
2021
Java Full Stack DevelopmentGeneration México
2021
Languages

Spanish

Native (Mexican Spanish, CDMX)

English

C1 Advanced (Cambridge certified)

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