My career timeline

2014 - 2015

Philippines

I moved to Manila right after getting my Bachelor’s Degree in Computer Science. I was a Java Developer in Advanced World Solutions, Inc. where I built inventory software for a heavy machinery manufacturer in Japan. In the process, I learned to communicate in business Japanese, which helped me get transferred to client sites and work directly with Japanese clients.

2016 - 2018

Chiba and Tokyo, Japan

For about 2 years I worked as a consultant in various companies (anti-money laundering systems, precious metals trading platforms), building automations and sometimes writing software specs in Japanese.

2018 - 2019

Tokyo, Japan

I was taking MOOCs in Natural Language Processing to learn AI skills for a few months until I had the chance to work with an e-commerce conglomerate in Tokyo. I worked in the team that trained their first chatbots in entertainment, banking, sports, and even romance conversations.

2019 - 2020

Newcastle-Upon-Tyne, United Kingdom

I joined Accenture UK as an AI specialist. I built machine learning classification models to help tech support teams triage customer issues. This relieved them of long triage queues and enabled them to focus on resolving high-priority problems.

2020 - 2021

During the pandemic, my role had to adapt to the changing business. I taught myself cloud technologies in AWS and applied my new skills on migrating on-premise health services to cloud servers. After that, I built a cloud-based sales analytics pipeline for a major postal service, helping them gain valuable insights about seasonal trends from their data warehouse.

2021 - 2022

London

I decided to leave the consulting world behind to focus on longer-term tech-for-good projects. I joined BridgeU and applied my cloud skills to building web scrapers and data pipelines in GCP to create a large catalogue of international universities and courses. I went on to migrate the company’s recommendation system infrastructure from GCP to AWS.

2022 - 2023

I later became the Data Tech Lead at BridgeU. My responsibilities grew into architectural design of the recommendation systems, APIs, and data warehouse on BigQuery. I also trained the small Data Team in coding best practices, cloud deployments, and API design.

2023 - 2025

Glasgow, Scotland

Having had the strong desire to work in the space industry, I moved to Glasgow to join Spire Global’s Payload team which designed and operated instruments for GNSS Radio Occultation and Reflectometry on low-earth orbiting nanosatellites. I built automations on the payloads to collect and process valuable weather & climate data for clients like NOAA, NASA, and EUMETSAT.

2025 - 2026

Scotland (Remote)

I went back to doing more AI-related stuff and shifted my focus towards Applied Computer Vision. At Protex AI, I wrote software for IoT devices installed in warehouses and factories to detect potentially dangerous situations and ensure workplace safety. I partly experimented with Vision Language Models and implemented algorithms for long-term event tracking, privacy zone blurring, and fall detection.