AI Agent Developer

Overview

Looking for part-time work (4 hours/day)

at $20.00/hour ($1,760.00/month)

Bachelors degree

Last Active

November 13th, 2024 (yesterday)

Member Since

September 29th, 2023

Profile Description

Technical Skills:
Proficient in Python, C++, Software Development, Machine Learning, Computer Vision, Retrieval-Augmented Generation (RAG), Agent-based Systems, Hardware Development and Programming, and Dev Ops.

Soft Skills:
Good interpersonal skills and intermediate English communication abilities.

Tools and Frameworks:
Vscode, Anaconda, Docker, Pytorch, Scikit-learn, Selenium, Langchain.

Experience:
AI Engineer-TresCivil, New South Wales, Australia (Dec 2023 - March 2024)

*Developed an AI application that enables users to interact with local documents, execute code on their local machines, and access internet resources. The application is supervised by an agent that manages tool rerouting.Manufacturing Engineer for Data Science

Analog Devices, Inc, General Trias, Cavite (Jan 2022 - March 2024)

*Led the development of a machine health monitoring system using an ensemble model trained on audio data to automate monitoring and prevent IC package cracks, deployed on OrangePi SBC.

*Created a Selenium-based automated allocation tool, reducing 98% of manual planning allocation and saving three days of work weekly, supporting planners across the Philippines and Thailand, and deployed on enterprise servers.

*Developed a vision system with YOLOv8 for automated IC counting in trays using Jetson Nano, eliminating manual checks and identifying misoriented units.

*Created a RAG chatbot to enhance knowledge and information retrieval for equipment engineers, improving efficiency in equipment repairs and technical reviews.Test Development Engineer

Analog Devices, Inc, General Trias, Cavite (Nov 2019 - Jan 2022)

*Developed, debugged, and evaluated test solutions from characterization to manufacturing release for Simultaneous Sampling SAR ADC converters.

*Built an Automated Flex Patterns Translator to transform text pattern files into a clear, formatted output, significantly reducing the debugging process from months to hours.

*Trained an LGBM machine learning model to predict parameter shifts in components under temperature, optimizing manufacturing testing by eliminating unnecessary temperature stages, resulting in significant time savings.