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Reymark Elizalde Garcia  new_releases

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AI/ML Engineer at Asahan Tech Partners
Trece Martires City, Calabarzon, Philippines

Timeline


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Résumé


Jobs verified_user 0% verified
  • Z
    AI Engineer / Technical Lead
    Zenovo AI
    Jul 2025 - Dec 2025 (6 months)
    • Designed and led the development of a multi-tenant SaaS platform delivering customizable LLM/RAG-driven services, fully branded per customer via isolated tenant subdomains • Designed and Implemented a production-scale multi-agent AI system using LangChain, LangGraph, OpenAI APIs, and Model Context Protocol to enable standardized, extensible AI tool orchestration and context sharing across agents and services. • Implemented MCP-based integrations to expose internal services (RFP parsers, document stores, scoring engines, retrieval APIs) as reusable, discoverable tools for LLM agents, enabling clean separation between model reasoning and platform capabilities. • Implemented Human-in-the-Loop workflows with approval gates, audit trails, over
  • G
    AI Engineer
    GenAI.Labs
    Nov 2023 - May 2025 (1 year 7 months)
    • Built an enterprise-grade, production AI performance-monitoring chatbot to automate large-scale data retrieval and accelerate real-time troubleshooting for support engineers in high-throughput environments. • Designed and implemented a production medical imaging pipeline for echocardiogram analysis using PyTorch, Lightning, MONAI, and OpenCV, delivering automated labeling, classification, and grading. • Developed an AI-driven automation platform for a seismic construction company, generating project documentation and compliance reports. Built React-based dashboards integrated with Elasticsearch to improve reporting accuracy, observability, and operational efficiency. • Built and deployed predictive ML models for a SaaS platform using PyTo
  • S
    AI Backend Developer
    Stratpoint Technologies
    Jan 2023 - Nov 2023 (11 months)
    • Led backend development for a strategic AI experimentation team, architecting scalable data processing and ML integration systems using Django and Django REST Framework within budget-conscious constraints. • Built robust ETL pipelines for large-scale geospatial data aggregation and transformation, processing multi-source datasets from AWS S3, Google Earth Engine API, and climate repositories for predictive modeling applications. • Designed and developed RESTful APIs serving real-time predictive model outputs and geospatial analytics to frontend dashboards, implementing caching strategies with Redis that reduced average response times from 1.2s to 300ms. • Developed containerized data processing microservices using Docker and Celery for as
  • S
    AI/ML Engineer
    Senti Techlabs, Inc
    Aug 2021 - Nov 2022 (1 year 4 months)
    • Developed and maintained several ML/DL models for NLP tasks using PyTorch and early Hugging Face Transformers, improved model accuracy through systematic experimentation and hyperparameter tuning. • Performed end-to-end fine-tuning of pre-trained transformer models, applying techniques such as learning-rate scheduling, layer freezing/unfreezing, gradient accumulation, and batch-size tuning to improve convergence, training stability, and performance under limited compute constraints. • Designed and deployed a production RL reranker that optimizes search results at inference time by evaluating multiple candidate orderings against a lightweight reward model, improving conversion while maintaining strict latency constraints. • Performed optim
  • S
    AI/ML Engineering Intern
    Senti Techlabs, Inc
    May 2020 - Aug 2021 (1 year 4 months)
    • Assisted in developing NLP prototypes for text classification and keyword extraction using scikit-learn, spaCy, and small transformer models; handled dataset cleaning, exploratory analysis, and evaluation reporting. • Supported AI/ML engineering and research workflows by experimenting with multiple NLP modeling approaches, benchmarking classical ML methods against transformer-based models, and documenting findings to inform design decisions and future production development.
Education verified_user 0% verified
  • De La Salle University
    Master's Degree in Artificial Intelligence
    De La Salle University
    Oct 2021 - Aug 2024 (2 years 11 months)
    Academic foundation in Artificial Intelligence, Machine Learning, Deep Learning, Transformers and LLMs
  • De La Salle University
    Bachelor's Degree in Computer Science
    De La Salle University
    Sep 2017 - Jun 2021 (3 years 10 months)
    Academic foundation in Data Structures & Algorithms, Machine Learning, Deep Learning and Software Engineering