Professional Experience

My journey through various roles and projects in the engineering field.

AI Engineer | Technical Lead

Zenovo AI
Denver, Colorado, United States
July 2025 - December 2025

Key Responsibilities

  • 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 platform 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.
  • 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.
  • Optimized AI and platform performance through prompt engineering, vector index tuning, document chunking strategies, request batching, caching layers, and cost-efficient LLM usage.

Technologies & Tools

FastAPI
Next.js
PostgreSQL
pgvector
LangChain
LangGraph
OpenAI
MCP
Docker
CI/CD

AI Engineer

GenAI.Labs
San Diego, California, United States
November 2023 - May 2025

Key Responsibilities

  • Built an enterprise-grade, production AI performance-monitoring chatbot to automate large-scale data retrieval and accelerate real-time troubleshooting for support engineers.
  • 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.
  • Built and deployed predictive ML models for a SaaS platform using PyTorch, scikit-learn, XGBoost, and MLflow, integrating inference into MERN-based dashboards.

Technologies & Tools

PyTorch
MONAI
OpenCV
FastAPI
Airflow
PostgreSQL
React
Elasticsearch
Docker
MLflow

AI Backend Developer

Stratpoint Technologies
Mandaluyong, Metro Manila, Philippines
January 2023 - November 2023

Key Responsibilities

  • Led backend development for a strategic AI experimentation team, architecting scalable data processing and ML integration systems using Django and Django REST Framework.
  • 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.
  • 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.

Technologies & Tools

Django
Django REST Framework
AWS S3
Redis
Docker
Celery
PostgreSQL

AI/ML Engineer

Senti Techlabs, Inc
Makati, Metro Manila, Philippines
August 2021 - November 2022

Key Responsibilities

  • 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 learning-rate scheduling, layer freezing/unfreezing, gradient accumulation, and batch-size tuning to improve convergence and performance under limited compute.
  • Collaborated with data engineers to prepare training datasets, clean noisy text data, and create evaluation benchmarks for NLP workloads.
  • Performed optimization tasks such as batching, caching, and basic quantization to reduce inference cost and latency on GPU-based servers.
  • Implemented model-serving pipelines using FastAPI, creating reliable inference APIs deployed on AWS.
  • Contributed to model monitoring and version control using MLflow, maintaining reproducible experiments and deployment-ready checkpoints.
  • Designed and built internal document search and recommendation workflows using Sentence Transformers for embeddings and FAISS for similarity search.

Technologies & Tools

PyTorch
Hugging Face
FastAPI
AWS
MLflow
FAISS
Sentence Transformers

AI/ML Engineering Intern

Senti Techlabs, Inc
Makati, Metro Manila, Philippines
May 2020 - August 2021

Key Responsibilities

  • 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.

Technologies & Tools

Python
scikit-learn
spaCy
NLP
Transformers