INNOVATOR. TECHNOLOGIST.
FRIEND.
I am a Data Scientist and Machine Learning Engineer with over five years of experience in building and deploying comprehensive, end-to-end machine learning solutions. Currently based in Madeira, Portugal, my work is driven by a passion for applying advanced ML techniques to solve tangible, real-world problems. My expertise spans the full data science lifecycle, and my industry experience includes key roles that have sharpened my skills in building practical, user-centric AI products.
Since September 2023, I have been working as a Data Scientist at the Interactive Technologies Institute/LARSYS in Portugal. My current work centers on the critical challenge of energy demand forecasting. I've co-developed a lightweight time-series forecasting open-source python library to predict energy demand, a solution that successfully lowers inference costs by more than 60%. I also architected and developed a novel federated learning framework for real-time solar (PV) power forecasting across distributed energy systems. This privacy-centric approach allows for collaborative model training without compromising consumer data privacy and I am proud that a pilot was deployed in Madeira Island.
Before my current role, I worked as an ML Engineer at Belltro in Tanzania from November 2021 to August 2023. Here, I focused on revolutionizing Conversational AI and access to information. I led the development of a WhatsApp chatbot that delivers financial literacy and entrepreneurship education. A significant part of my work involved NLP for low-resource languages; I built and deployed a Swahili language news classification model and engineered the supporting infrastructure, including automated data pipelines for scraping, processing, and storing news data.
During my time as a Data Scientist at ParrotAI (Nov. 2019 - Nov. 2021), I served clients by tackling diverse data challenges. I reveled in the diverse challenges of creating AI models for a spectrum of applications. I worked to build solutions to aid farmers, creating the AI backend for a mobile app to detect banana leaves plant diseases using computer vision. I also assisted companies with reducing their data labeling time by customizing an open-source annotation tool to perform auto-annotating, slashing manual labeling efforts by 60%.
My professional career started at Vodacom (Apr. 2018 - Nov. 2019), where I worked as a Backend Engineer. This role provided a strong foundation in building scalable, high-impact systems. There, I maintained the backend for the main Vodacom website and mobile app, systems that served over 100,000 daily users. I also crafted applications like the AfyaCall Mini-app backend and created the backend system for Vodacom's 5G routers Online shop.
ROLES.
I have worked in different technical and leadership roles over the course of my career. These roles have taught me to think critically and strategically, helping me to become someone able to imagine, connect and work on technical efforts towards tangible objectives.
SPEAKING.
I enjoy sharing the things I learn in life. It’s always great to hear new views and opinions on the things that I talk about. Through sharing the things I know has helped me connect to lots of great people.
PUBLICATIONS & BLOG.
Through publishing I have been able to further my technical understanding of different ideas. The inputs I get from scholars have really been helpful in growing the ideas and research I have been fortunate to be part of.