Location:  Mexico, UTC-6
    Remote: Yes. 
    Willing to relocate: No

    Core: Python, TypeScript, SQL
    AI/ML/LLM: LLM pipelines, Retrieval-Augmented Generation (RAG), LLM fine-tuning (open-source and closed models), llama.cpp, Scikit-learn, Spark, FastText, NLTK, Word2Vec, anomaly detection, graph-based fraud detection
    Cloud/infra: AWS (ECS, EKS, Lambda, RDS, Neptune, EMR, S3, WAF, GuardDuty, Inspector), Terraform, Docker, Kubernetes, CI/CD, WireGuard
    Data: PostgreSQL, Cassandra, MongoDB, Elasticsearch, AWS Neptune/Gremlin, Airflow, Hadoop, custom OLAP on GB-scale datasets
    Architecture: microservices, event-driven systems, RabbitMQ, high-availability and autoscaling design
    Blockchain: Liquid Network, Ethereum, Solidity smart contracts, node operation and hot wallet custody
    Security/compliance: SOC 2, PCI-DSS Level 1, ISO 27001
    Also some Ruby, Java, C++, R, Node.js, React Native, Angular, Ionic

  LinkedIn: https://www.linkedin.com/in/obaqueiro/
  Website: https://baqueiro.com
  Email: omar _at_ baqueiro _dot_ com

Currently at Aloi.tech (AI tax assistance): LLM pipeline for invoice analysis with RAG, fine-tuning of open-source and closed LLMs, and a custom OLAP framework for GB-scale invoicing data. Before that, CTO at Bax Blockchain Services: architected a B2B crypto exchange from scratch (event-driven microservices, RabbitMQ, AWS ECS, Terraform, multi-environment IaC), owned security (WAF, GuardDuty, Inspector, WireGuard), operated a Liquid Network node and hot wallet, and led a 20+ person engineering team. At PrimeTrust, VP of AI/ML & Lead Architect: built the AI/ML team for fraud detection (graph analysis on AWS Neptune, K-NN anomaly detection), designed a Cassandra ledger that took transaction processing from hundreds to tens of thousands per second, and drove the monolith-to-microservices migration. At Paystand, Head of Engineering & Product: led SOC 2 and PCI-DSS Level 1 compliance, cut AWS costs 30%, and grew the Mexico engineering office from 1 to 15. Earlier: Head of Engineering & Data Science at Kueski (ML credit risk models in production, ISO 27001), Ooyala, and academic research.

Looking for: Principal/Staff AI/ML Engineer, ML/LLM infrastructure, CTO / VP / Head of Engineering at an early-to-growth-stage startup, fractional CTO or technical advisor, or founding engineer on a small technical team. Fintech, legaltech, and data-heavy products preferred but not required.

Open to full-time, contracting, and advisory.

Available: Immediately

Compensation Range: $200,000+ USD yearly