Hi, I'm Aníbal Fermandois

Part-time work on data exploration, model testing, and analytics to improve store allocation and replenishment decisions.

• Exploration and metrics: Analyze historical BigQuery data with Python, pandas, and polars, defining metrics, assumptions, and filters to understand operational behavior.
• Model testing: Propose and evaluate models, checking nonlinear relationships and assumption sensitivity to guide future resupply policy.
• Actionable data work: Patch inconsistent data and translate findings into concrete recommendations for store allocation and replenishment decisions.

Designed automation infrastructure in n8n and developed production-ready enterprise AI agents.

• Advanced RAG Systems: Led research and production deployment for a corporate AI chatbot. Integrated complex APIs and applied advanced techniques such as Contextual Chunking (Anthropic), HyDE, and Context Engineering, reaching over 95% accuracy.
• Vector Optimization: Built high-precision information retrieval using Contextual Embedding and MultiVector Indexing.
• Workflow Architecture: Designed and implemented robust automation pipelines with n8n to optimize and scale critical business processes.

Managed and developed the full software lifecycle, from architecture design to CI/CD pipeline implementation.

• End-to-End Development: Designed and implemented the high-performance Next.js and Django architecture for nikola.cl, leading the project’s technical decisions.
• Technical Leadership: As lead engineer, directed the migration from legacy systems to modern, scalable web architectures, integrating key automations.
• DevOps and Quality: Led automated pipeline setup for code quality assurance and infrastructure monitoring deployments.
  Lead Developer — Production Code