05/11/2026 updated
JP
100 % available
AI Architect & Software Engineer | LLM, RAG, Multi-Agent Systems
Angeles City, Philippines
Only remote
Bachelor of Science, Computer ScienceAbout me
I’m an AI Architect and Engineer passionate about designing intelligent systems that perform at the edge of what’s technically possible. I’ve built production-grade LLM, RAG, and multi-agent systems that have reduced latency by over 80%, boosted operational efficiency by 40%.
ARM ArchitectureData ArchitectureDigital ArchitecturePython (Programming Language)Software ArchitectureAzure Machine LearningNext.jsModel-Driven ArchitectureReact.jsFlaskLarge Language ModelsMulti-Agent SystemsFastAPIArtificial Intelligence Markup Language (AIML)
AI & LLM Engineering
End-to-end development of AI systems leveraging Large Language Models (LLMs), RAG architectures, and multi-agent frameworks. Proven track record of deploying self-hosted LLM infrastructures using models such as Qwen3-Coder-480B-A35B-Instruct, LiteLLM, and Crush, achieving measurable reductions in wait times and operational efficiency gains.
Machine Learning & Deep Learning
Extensive experience with PyTorch, TensorFlow, Keras, and Hugging Face for building and fine-tuning models including BERT, Llama, Gemma, and Anthropic Claude. Application of NLP, computer vision, and ensemble methods to solve real-world business and healthcare challenges.
Cloud Infrastructure & MLOps
Hands-on expertise with AWS (SageMaker, DynamoDB, RDS), Google Cloud Platform (BigQuery, Cloud SQL), and Microsoft Azure. Proficient in Kubernetes, Docker, MLflow, Kubeflow, Databricks, and Apache Spark for scalable, production-grade AI deployments.
Python & Backend Development
Strong proficiency in Python, Golang, and Rust for building high-performance backend systems and data pipelines. Experience with SQL, Pandas, NumPy, and Scikit-learn for data processing and analysis.
Prompt Engineering & Fine-Tuning
Expertise in prompt engineering, model fine-tuning, and building continuous learning pipelines with curated datasets to improve model accuracy and relevance in production environments.
Data Visualization & NLP
Proficiency in data visualization tools and NLP techniques including OpenCV, Gensim, and LangChain. Experience developing analytics platforms that enable non-technical users to generate SQL queries and data visuals using plain English.
HIPAA Compliance & Data Security
Demonstrated ability to build HIPAA-compliant data infrastructures with granular access controls, full audit trails, and secure multi-tenancy systems using Keycloak, ensuring 100% data isolation and zero security breaches.
WebRTC & Real-Time Communication
Implementation of WebRTC solutions for real-time communication features, contributing to innovative application capabilities and enhanced user interaction.
Big Data & Analytics
Experience with Hadoop, Apache Spark, BigQuery, KNIME, and SAS for large-scale data processing, reporting, and analytics pipeline architecture.
Languages
EnglishFluent
Project history
Engineered a low-latency conversational voice agent achieving sub-300ms response time and reducing average customer wait times by 80%. Architected and deployed a secure, self-hosted LLM infrastructure enabling 50+ team members to utilize internal models with 100% data security compliance. Designed and deployed the core AI model for a Lead Magnet Generation SaaS platform, boosting conversion accuracy by 35%. Implemented centralized logging and behavioral tracking for all LLM interactions, identifying 15% cost-saving opportunities. Designed a dual-memory system for AI agents using Redis, increasing user satisfaction scores by 25%. Developed an automated customer support agent with a dynamic RAG system resolving 85% of unique customer inquiries without human intervention.
Developed Logistics Chatess, an AI analytics platform enabling non-technical users to generate SQL queries and data visuals using plain English. Architected a secure multi-tenancy system with Keycloak for 50+ clients ensuring 100% data isolation and zero security breaches. Engineered a SQL Agent handling 85% of data requests autonomously, reducing analytics team workload by 60%. Improved SQL Agent accuracy by 40% via a continuous learning pipeline. Implemented a hybrid search system resolving over 90% of ambiguous user questions. Pioneered Medical Chatess, an AI diagnostic assistant integrated with EMRs, cutting initial patient review time by 30% for clinicians. Built a HIPAA-compliant data infrastructure for 10+ clinics and developed an AI analysis engine achieving a 92% clinical relevance score.
Executed a character-based transformer spelling correction model with Triton and ONNX, reducing inference latencies to below 178ms at 35 requests per second. Conceptualized an AI-driven healthcare chatbot using LLM and Reinforcement Learning, resulting in a 25% increase in patient engagement and 30% reduction in customer service response times. Ensured HIPAA compliance, reducing data breaches by 28.5%. Collaborated with data engineers and scientists to architect scalable data pipelines. Implemented WebRTC solutions for real-time communication.