Hello there! I am Jericho Pasco

I am a software engineer from Cebu, Philippines. I love building scalable and robust applications across various platforms. I'm particularly fascinated by Large Language Models, Machine Learning, and Deep Learning, and I enjoy diving into self-driven projects to explore these areas. I'm always eager to contribute to innovative projects and expand my expertise in cutting-edge technologies. Let's create something amazing together!

Work Experience

March 2025 - Present
AI Automation Engineer
Multiplai Tech - GoTeam, Cebu, Philippines
- LLM & AI-Powered Automation: Developed and deployed automation solutions using LLMs and AI tools to address corporate challenges such as handling repetitive reporting tasks, streamlining customer support workflows, and accelerating internal approvals.
- End-to-End Systems Ownership: Drove full lifecycle automation—from requirements and solution design to deployment, maintenance, and support—ensuring reliability and scalability of AI-driven systems in day-to-day operations.
- Cross-Functional Collaboration & PM: Partnered with HR, Finance, Operations, and Customer Success to identify automation opportunities, manage projects, and ensure successful adoption of AI-powered solutions across business units.
- Business Impact: Reduced manual workload, minimized process bottlenecks, and improved decision-making speed by embedding AI-driven insights directly into core processes.
Jul 2024 - Oct 2024
AI Intern
Lanex Corporation, Cebu, Philippines
- Developed RAG-based solutions using Python, Selenium, BeautifulSoup, and LangChain for data extraction and semantic search.
- Implemented RAG retrieval systems and chat features with Flowise AI, built full-stack components using React, Express.js, PostgreSQL, and Azure.
- Collaborated with cross-functional teams to optimize system performance and enhance user interaction.

Education

August 2022 - Expected June 2025
Bachelor of Science in Computer Science
University of San Carlos, Cebu, Philippines

Skills

N8N

JavaScript

Python

PHP

React

HTML + CSS

Tailwind CSS

Next.js

React Native

Node.js

Express.js

Laravel

LangChain

FlowiseAI

PyTorch

TensorFlow

MySQL

PostgreSQL

MongoDB

Git

Projects

Thesis: Utilizing Deep Learning to Predict the Potency of Beta-Lactamase Inhibitors

Developed a deep learning model using Python, PyTorch, and DGL-LifeSci to predict key features of Beta-Lactamase inhibitors, contributing to computational drug discovery.

PythonPyTorchDGL-LifeSci