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I am an AI/ML Engineer with 5+ years of experience designing and building production-grade, end-to-end intelligent systems. I specialize in Machine Learning, Deep Learning, Generative AI, Large Language Models, and Retrieval-Augmented Generation, delivering reliable, scalable solutions with strong software engineering practices. I enjoy creating modular architectures, optimizing model serving and prompt strategies, and collaborating with cross-functional teams to turn complex data problems into practical, measurable outcomes for real-world users.…I am an AI/ML Engineer with 5+ years of experience designing and building production-grade, end-to-end intelligent systems. I specialize in Machine Learning, Deep Learning, Generative AI, Large Language Models, and Retrieval-Augmented Generation, delivering reliable, scalable solutions with strong software engineering practices. I enjoy creating modular architectures, optimizing model serving and prompt strategies, and collaborating with cross-functional teams to turn complex data problems into practical, measurable outcomes for real-world users.

Reymark Garcia

AI Engineer, AI Developer, Full Stack Developer, +2

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I am an AI/ML Engineer with 5+ years of experience designing and building production-grade, end-to-end intelligent systems. I specialize in Machine Learning, Deep Learning, Generative AI, Large Language Models, and Retrieval-Augmented Generation, delivering reliable, scalable solutions with strong software engineering practices. I enjoy creating modular architectures, optimizing model serving and prompt strategies, and collaborating with cross-functional teams to turn complex data problems into practical, measurable outcomes for real-world users.…I am an AI/ML Engineer with 5+ years of experience designing and building production-grade, end-to-end intelligent systems. I specialize in Machine Learning, Deep Learning, Generative AI, Large Language Models, and Retrieval-Augmented Generation, delivering reliable, scalable solutions with strong software engineering practices. I enjoy creating modular architectures, optimizing model serving and prompt strategies, and collaborating with cross-functional teams to turn complex data problems into practical, measurable outcomes for real-world users.

Available to hire

I am an AI/ML Engineer with 5+ years of experience designing and building production-grade, end-to-end intelligent systems. I specialize in Machine Learning, Deep Learning, Generative AI, Large Language Models, and Retrieval-Augmented Generation, delivering reliable, scalable solutions with strong software engineering practices.

I enjoy creating modular architectures, optimizing model serving and prompt strategies, and collaborating with cross-functional teams to turn complex data problems into practical, measurable outcomes for real-world users.

Skills

Experience Level

Expert

Expert

Expert

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Expert

Expert

Expert

Expert

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Expert

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Expert

Expert

Expert

Expert

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Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at Zenovo AI

July 1, 2025 - December 31, 2025

Designed and led the development of a multi-tenant SaaS platform delivering customizable LLM/RAG-driven services. Architected end-to-end backend and frontend components, including FastAPI microservices, Next.js front end with role-based access and dynamic tenant UIs, a PostgreSQL database with pgvector, and a containerized cloud deployment. Implemented RAG workflows for RFQ/RFQ responses and built production-grade ML pipelines, monitoring, and security practices.

AI Backend Engineer at Stratpoint Technologies

January 1, 2023 - November 30, 2023

Led backend development for a strategic AI experimentation team, architecting scalable data processing and ML integration with Django and Django REST framework within budget-conscious constraints. Built ETL pipelines, deployed ML models, and supported real-time analytics; implemented monitoring and security practices.

AI Engineer at Sentii Tech Labs, Inc.

August 1, 2021 - November 30, 2022

Developed ML models for NLP tasks using PyTorch and early Hugging Face Transformers; improved model accuracy through systematic experimentation and hyperparameter tuning. Collaborated with data engineers to pre-process data and evaluate models.

AI/ML Engineer Intern at Sentii Tech Labs, Inc.

May 1, 2020 - August 31, 2021

Assisted in developing NLP prototypes for text classification and keyword extraction using scikit-learn, spaCy, and small transformer models. Built an internal document similarity search prototype using Sentence Transformers + FAISS; contributed to a larger retrievable search system.

AI Engineer / Technical Lead at ZenovoAI

July 1, 2025 - December 1, 2025

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. 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, override mechanisms, and LLM-as-a-Judge evaluation layers integrated into MCP-enabled agent flows for automated quality control, compliance checks, and decision validation. Optimized AI and platform performance through prompt engineering, vector index tuning, document chunk

AI Engineer at GenAI.Labs

November 1, 2023 - May 1, 2025

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 an aseismic 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 PyTorch, scikit-learn, XGBoost, and MLflow, integrating inference into MERN-based dashboards to surface predictive insights directly within core product workflows.

AI Backend Developer at Stratpoint Technologies

January 1, 2023 - November 1, 2023

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 asynchronous task execution, enabling parallel computation of solar irradiance analytics and site scoring across distributed cloud environments.

AI/ML Engineer at Senti Techlabs, Inc

August 1, 2021 - November 1, 2022

Developed and maintained several ML/DL models for NLP tasks using PyTorch and early Hugging Face Transformers, improving 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 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. Implemented batching, caching, and basic quantization to reduce inference cost and latency on GPU-based servers. Contributed to model monitoring and version control using MLflow, maintaining reproducible experiments and deployment-ready checkpoints. Designed and built inter

AI/ML Engineering Intern at SentiTechlabs, Inc

May 1, 2020 - August 1, 2021

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.