I am a Lead Data Scientist with 5 years of experience deploying production ML and analytics systems across enterprise IoT, marketing technology and customer intelligence platforms. I hold an MSc in Artificial Intelligence, am AWS Certified, a BCS Member, and a published researcher in ethical AI with 150 citations. I mentor at Coding Black Females, organise with the PyData community. I speak about production machine learning, responsible AI and what it actually takes to build data science work that lands.

Aboze Brain John is the founder of KOVR, an early-stage healthtech venture building a privacy-first, AI-assisted nicotine reduction system that integrates IoT hardware, a mobile app, and embedded ethical AI guardrails.

He previously worked as a Developer Advocate at a London-based formal verification and AI safety startup, and as a Data Scientist across financial services, spanning credit, insurance, and community-focused initiatives.

He is an avid technical writer with a strong interest in data science, AI systems, engineering, and building within regulated environments.

Brian Ochieng Oginga is a Python and Django developer from Kenya. He focuses on backend development, APIs, and building real-world web applications using Django. Brian actively contributes to open-source projects and shares his learning through community discussions, mentorship, and technical content about Python and Django. He is passionate about helping beginners understand backend development and growing the Python community in Africa.

After having a career as a Data Scientist and Developer Advocate, Cheuk dedicated her work to the open-source community. Currently, she is working as a developer advocate for JetBrains. She has co-founded Humble Data, a beginner Python workshop that has been happening around the world. Cheuk also started and hosted a Python podcast, PyPodCats, which highlights the achievements of underrepresented members in the community. She has served the EuroPython Society board for two years and is now a fellow and director of the Python Software Foundation.

Daniel Reis is an Odoo ERP specialist, implementing business solutions in businesses in multiple sectors and countries. He is an active open source contributor, board member at the Odoo Community Association, and has several published books on Odoo development. Daniel has a degree in Applied Mathematics, a Master in Business Administration.

avid Asem is a Senior Software and AI Systems Engineer with over 8 years of professional experience building scalable software and intelligent systems. He specializes in full-stack engineering, machine learning, and production-grade AI systems, with a strong focus on designing solutions that solve real-world business problems.

He has worked across multiple industries, including insurance, fintech, healthcare, and financial markets, where he has led and contributed to systems that drive operational efficiency and business transformation. Currently, David is a Senior Full Stack Engineer at Starlife Assurance Limited, where he also leads AI initiatives focused on leveraging machine learning to enhance products and decision-making processes.

In addition to his role, David works as an independent consultant, helping organizations design and implement scalable software systems and AI-driven solutions across different industries.

David is deeply passionate about the role of AI and emerging technologies in accelerating growth across Africa. His mission is to make it easier for organizations across the continent to harness the power of AI and digital technology to build, scale, and transform their businesses.

Beyond his professional work, David is an active contributor to the global and African tech ecosystem. He has spoken at major conferences and communities including PyCon Africa, Google I/O Summit USA, Google Developer Group Accra, and the Ghana Data Science Summit. He also contributes as a mentor with programs such as the Deep Learning Indaba and Google Developer Exchange Program, supporting the next generation of engineers and researchers.

He has played a key role in community building, including pioneering and leading developer groups such as the Google Developer Student Club at KNUST. David is passionate about mentorship, leadership, and knowledge sharing, and continues to impact developers and organizations through speaking, consulting, and community engagement.

Gertrude Abagale is a Cybersecurity engineer and an active contributor to community-led open-source initiatives across Africa. She works extensively with Python to build secure backend systems and enterprise integrations. Beyond her professional work, she volunteers with PyLadies Ghana, Python Ghana, AWS User Group Accra, and Everything Open Source. Through mentoring, speaking, and community event organization, she supports women and underrepresented groups transitioning into tech, with a focus on creating accessible pathways into open-source and fostering sustainable, inclusive tech ecosystems.

Hilal Işık is a Senior Data Analytics Coach, researcher, and community-driven practitioner working at the intersection of data, education, and social impact. She has hands-on experience in Python, SQL, machine learning, and data visualization, and focuses on translating complex data into clear, actionable insights for diverse audiences. Alongside her work in data analytics, she is an independent researcher and published author with a background in sociology, human rights, and European Studies. Hilal is also actively involved in the tech community, including initiatives such as PyLadies, where she supports knowledge sharing and collaborative learning around AI and data projects.

Hugo van Kemenade is a Python core developer and the release manager for Python 3.14 and the next one. He maintains open-source projects such as Pillow, is a PSF Fellow and PEP editor, and organiser of NaNoGenMo, Helsinki Python and PyData Helsinki. As a Sovereign Tech Fellow, he's lucky to work on maintaining critical digital infrastructure full-time. Hugo lives in Helsinki and sometimes cycles on the frozen sea.

I'm Juan Caraballo, an Infrastructure and Reliability Engineer from the Dominican Republic, currently based in Lisbon, Portugal.

I started my career as a Django developer at the Utah Water Research Laboratory, where I spent nearly a decade, before moving into data engineering and eventually infrastructure and site reliability.

Outside of work, I'm drawn to the connective tissue between fields like physics, biology, ecology, and computer science, and I try to bring that cross-disciplinary lens to the way I think about engineering problems.

I studied Mathematics and Statistics at the Universidad Complutense de Madrid, and I work as a Data Scientist at Decide4AI.

Laís Carvalho works on growth and developer content for Logfire, the observability platform from the team behind Pydantic, writing and building across the Pydantic AI ecosystem. In March, she organised and moderated a panel on open source in the age of AI with Guido van Rossum.
On the community side, she's a PSF Fellow, a EuroPython Society Fellow, and a 2024 PSF Community Service Award recipient, with a long history organising Python community events. She also builds with the same tools she writes about, which is the only reason she's qualified to tell you most of your AI output is slop. She'd know. She's produced plenty of it.

Dr. Mai Giménez is a staff research engineer working in generative AI at Google Deepmind. They are passionate about building the most useful technology for everyone.
Mai is a former board member of the Spanish Python Association, and a proud member of the Pyladies.

• Cloud consultant, architect & trainer
• 14 years of experience in Google Cloud, 9 years of experience as a trainer
• Google Developer Expert in Google Cloud
• Google Cloud Authorized Trainer

Mariatta is a Python Core Developer, open source maintainer, and community leader with over 15 years of experience in software development. She is passionate about workflow improvements and automation, as well as building inclusive developer communities.

As a serial conference organizer, Mariatta has helped kickstarted the PyCascades and PyLadiesCon conference.

For her contributions to the Python open source community, she has received the Python Software Foundation Community Service award and Google Open Source Peer Bonus award. She also appears in the official Python Documentary.

Mohnish is a software engineer and a math enthusiast. He has been working with Python especially in the field of Machine learning from developing cutting-edge algorithms to demystifying complex mathematical theories, and his career has been driven by the intersection of computer science and mathematics.

With over a decade of work experience in Python software development under a highly competitive problem solving environment. He has a solid foundation in Python compiler(CPython) and its programming.

He love to work with low level programming languages such as C/C++ to build performance oriented applications interfaced with python programming. He regularly apply OOP with functional programming principles to create and maintain high-quality clean code.

Natalia Riveros is an engineer and lawyer working in cybersecurity for infrastructure systems. Her work focuses on how software decisions affect systems such as energy, water, and industrial environments. She combines hands-on work in API security and system analysis with a strong background in legal frameworks. Natalia has worked on topics including ethical hacking, system security, and governance, and has spoken about the role of AI in cybersecurity within the energy sector. Her approach connects technical work with real operational and legal challenges.

I developed a passion for mathematics at an early age, which naturally led me to feel comfortable working with data and abstract thinking. I earned a PhD in Mathematics and later worked as an applied researcher at a startup, where I also developed strong skills in writing technical papers and speaking at international conferences.

I have been working as a data engineer for the past four years. Over this time, I have gained strong hands-on experience in several key areas of the field, including ETL, data warehousing, data quality, data lineage, data modeling, and master data management. I have designed, built, maintained, and optimized large-scale data pipelines using Python, Scala, Java, SQL, and several data processing engines, including Apache Spark. In my daily work, I take pride in writing clear and maintainable code, and I strongly support the continuous improvement of both technical and people processes.

I have more than 10 years of experience working on data projects, with prior experience in roles such as Data Engineer, Data Scientist, Data Architect, and Data Governance.

I had the honor of being a speaker at events such as GopherCon Brasil and Python Brasil, talking about topics related to data.

Currently, I work on a Data Governance project, implementing Data Quality routines.

Stefanie Molin is a software engineer at Bloomberg in New York City, where she tackles tough problems in information security, particularly those revolving around data wrangling/visualization, building tools for gathering data, and knowledge sharing. She is also a core developer of numpydoc and the author of “Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization,” which is currently in its second edition and has been translated into Korean and Chinese. She holds a bachelor’s of science degree in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, as well as a master’s degree in computer science, with a specialization in machine learning, from Georgia Tech. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.

Hi! I’m Yulia, a Python developer who enjoys building backend systems — and occasionally breaking them just to understand how they work better. I’ve spent more than 7 years working with Python in production, mostly on data-heavy applications.

Originally from Russia and now based in Portugal, I enjoy learning new languages and exploring life in a new country.