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Cesar N. — Mid-Level AI Engineer from Philippines

Cesar N.

Mid-Level AI Engineer

Philippines No experience yet
Open to offersNew to Platform
Languages
EnglishTagalogGerman
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About

Cesar N. is an accomplished AI Engineer specializing in agentic systems and machine learning with a strong academic foundation from Bulacan State University, where he earned a Bachelor of Science in Information Technology, concentrating on Business Analytics from 2022 to 2026. His professional expertise is evident through significant projects such as the NLCare safety-governed healthcare AI prototype, which integrates Python, FastAPI, and PostgreSQL to create a hybrid RAG system with auditable patient and clinician workflows. Cesar also contributed to CICTify, a spatially-aware campus AI assistant, employing graph-based spatial reasoning and advanced routing algorithms. At FPD Asia, he developed a hybrid AI support system, enhancing LLM responses with database retrieval, semantic document retrieval, and robust safety protocols. His work on a diabetes risk assessment platform showcased his capability with tools like XGBoost, scikit-learn, and Optuna for interpretable predictions. Cesar's expertise extends to deployment and infrastructure with skills in Docker, CI/CD, and observability. Fluent in English and possessing a working knowledge of German, he brings a multilingual proficiency to his projects.

Experience

  • AI Engineer

    NLCare · 2026 — Present
    Engineered a synthetic-only healthcare AI prototype that integrates hybrid RAG, bounded agent workflows, and temporal ML. Developed production-ready infrastructure employing FastAPI, PostgreSQL, and Redis, while implementing temporal ML evaluation and safety controls.
  • AI Engineer

    CICTify · 2026 — Present
    Created a campus assistant leveraging RAG and graph-based spatial reasoning for academic and navigation queries. Implemented routing algorithms and incorporated OCR/CV for floor plan ingestion, along with multi-turn intent resolution and retrieval fallback.
  • AI Engineer

    FPD Asia · 2025 — Present
    Developed and deployed a hybrid AI support system that merges general LLM responses with database retrieval and web fallback through intent-based routing. Integrated the AI layer with a Laravel/MySQL backend and implemented safety measures against prompt-injection.
  • Machine Learning Engineer

    Diabetes Risk Assessment Platform · 2025 — Present
    Constructed and deployed a diabetes risk assessment application utilizing Logistic Regression and XGBoost along with Optuna for hyperparameter optimization. Implemented uncertainty quantification and model interpretation features alongside PostgreSQL-backed logging.

Skills & Expertise

Education

  • Bachelor of Science in Information Technology
    Bulacan State University · 2022 — 2026