AI Software Engineer

Overview

Looking for full-time work (8 hours/day)

at $14.39/hour ($2,727.26/month)

Bachelors degree

Last Active

June 15th, 2026 (yesterday)

Member Since

September 11th, 2022

Profile Description

I’m an AI and Machine Learning Engineer passionate about building intelligent systems that bridge research and real-world applications. My expertise lies in designing and deploying production-grade AI solutions, including LLM orchestration frameworks, multi-agent systems, and RAG-powered applications. I’ve architected end-to-end ML pipelines that span data ingestion, model development, CI/CD automation, and observability—ensuring reliable, cost-efficient, and scalable AI operations.
Currently, I work at Eclaro, where I lead initiatives to integrate Generative AI across multiple insurance business units. I’ve developed enterprise LLM orchestration frameworks, optimized intelligent document processing pipelines, and implemented multi-agent workflows that significantly reduced processing time and improved decision consistency. My work also involves MCP adoption, AI observability, and LLM cost optimization across production environments.
Previously, I’ve contributed as a Data Scientist Intern at Insight Genie, improving voice and sentiment models; and as Lead Software Engineer at BitWork Solutions, where I delivered large-scale applications and established DevOps best practices. My earlier experience at BPOSeats involved pioneering vector database integrations, semantic search, and AI-driven productivity forecasting pipelines.
Beyond my professional roles, I’m an active AI Infrastructure and Deployment Advocate at AI Pilipinas – Cebu Chapter, where I write about MLOps and Google Cloud’s AI ecosystem. I also serve as Lead Software Engineer for the UP Computer Science Guild, mentoring student teams in full-stack development and agile collaboration.
I’m driven by a mission to automate and scale the entire ML lifecycle—from experimentation to deployment—while pushing the boundaries of what’s possible with Generative AI, cloud-native infrastructure, and applied deep learning.