Shiela Sandoval

I'm a Data and Software Engineer with many hobbies.

I have over a decade of experience building software for safety, space, education, and many more industries. I am open to software engineering work focusing on the use of geospatial technologies to solve climate problems.

Software Engineering

I have developed software for computer vision applications, satellite payloads, education platforms, chatbots, and many more, mostly in the cloud.

Data & ML

I have designed and built data processing pipelines for data warehouses, training ML models, and building dashboards for data scientists and product managers.

Maps & Remote Sensing

I am currently exploring the field of geospatial data processing for weather & climate analyses and general mapping projects.

You can also find my work in these links:

A visual timeline of my work life

Here’s a quick visual overview of the tech that I specialised (or dabbled) in over the years. My career path has not been straight, but I treat these tech skills as tools that helped me solve problems that (I hope) mattered to many people.

The long story (a.k.a., "my CV")

2014 - 2015

Philippines

I started out in Manila 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 - 2017

Chiba, Japan

Being based in client sites in Japan, I became a “communication bridge” for my team back in the Philippines. I was a Technical Lead and wrote software specifications in Japanese while training junior developers in Java development.

2017 - 2019

Tokyo, Japan

I briefly took on QA projects with clients building precious metals trading and anti-money laundering software. In 2018, I became fascinated with the developments in NLP and worked with an e-commerce conglomerate in training their first chatbots in entertainment, banking, sports, and even romance conversations.

And then I moved to the UK...

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.

Then space was calling me...

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

(still somewhere in Scotland...)

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.

My "Extra-curricular Activities"

I go on hikes, walks, and runs. I love outdoor activities, especially anything involving mountains, snow, or forest trails.

I'm a big reader of books about space, tech, geopolitics, and history. I also collect maps.

I do calesthenics, with the ultimate goal of being able to do a handstand effortlessly.

I do pencil portrait sketches of animals and friends.

I love cooking and baking. But really, I just love food.

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