Javier M. - AI Engineer & Solutions Architect

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AI Engineer & Solutions Architect

I am an AI Solutions Architect with a background in .NET enterprise systems, now specializing in Python-based AI infrastructure. My core expertise lies in designing secure, scalable, and FinOps-aware systems using Hexagonal Architecture. I focus on building deterministic guardrails around probabilistic LLMs, treating prompts as compilable code, and ensuring zero vendor lock-in through strict port/adapter boundaries. I am an AI Solutions Architect and Performance Engineer focused on the intersection of Enterprise Scalability, Security (SOC2), and Profitability (FinOps). With over a decade of experience in robust software engineering (.NET) and supply chain operations, I bring deep business acumen to technical challenges. Today, I design mission-critical AI Solutions that solve real-world problems while fiercely protecting profit margins. My philosophy is "Frugal Engineering": systems that intelligently route between costly models (GPT/Claude/Gemini) and ultra-fast, efficient ones (DeepSeek/Llama), optimizing latency without sacrificing intelligence. What I bring to your engineering team: 🏗️ Enterprise Architecture & SRE: Designing Modular Monoliths using strict Hexagonal Architecture (Ports & Adapters). Building non-blocking, asynchronous backends (FastAPI, Arq, Redis) that handle massive data ingestion with idempotency and exponential backoff. ⚡ FinOps & Adaptive Routing: Implementing Semantic Routers and Multi-Tier Caching (Exact Hash & Semantic Deduplication) to slash LLM compute costs by up to 90%. 🛡️ Security & Observability (SOC2 Ready): Enforcing Zero-Trust pipelines. Integrating local SLMs, Regex and Microsoft Presidio for inline PII scrubbing before external inference. Full OpenTelemetry tracing (Grafana/Loki/Tempo) to monitor system health and model drift. 🧠 Self-Correcting AI: Moving beyond naive RAG. I build "Nested Learning Loops" where the system automatically learns from human-in-the-loop (HITL) feedback and injects dynamic Few-Shot examples, eliminating the need for expensive model fine-tuning. 🛠️ Tech Stack: • Core: Python (Async), FastAPI, C#/.NET (Solid Enterprise Background). • AI & Data: PydanticAI, DSPy, PostgreSQL (pgvector), LanceDB, Redis, Semantic Kernel. • DevOps & SRE: Docker, GitHub Actions (CI/CD), OpenTelemetry, Grafana Stack, Arize Phoenix, Langfuse. 💼 Availability & Engagement: Open to B2B/C2C contracts (US & Global) with a legal structure ready for immediate invoicing. I operate on retainer-based engagements, offering guaranteed priority and dedicated bandwidth to ensure consistent, high-tier service levels. If you need to transform fragile AI demos into scalable, secure, and profitable infrastructure, let's talk.

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Hire Javier for: VA for E-commerce, VA for Amazon FBA, VA for Retail