Alex Shershebnev is a seasoned Computer Vision and MLOps Engineer with over ten years of experience shaping the future of AI-driven software development. Currently, Alex leads the ML/DevOps team at Zencoder, where he leverages his extensive background in Software Engineering, ML and DevOps to deliver high-quality machine learning solutions. His work spans complex data pipelines, cloud infrastructure management (GCP, Kubernetes), and advanced ML/DevOps pipelines.

My name is Andrii Soldatenko. I am a sr. software engineer originally from Ukraine :flag-ua:, and I am currently living in :flag-at: . Public speaker (KCD, FOSDEM, GoDays, PyCons) and OSS contributor (Apache Airflow, Golang, OpenAPI, docker). I am a big fan of debuggers, Neovim, Rust.

Daksh Gupta [Legal Name: Deepak K Gupta] is software product development consultant, coach & trainer and works under the banner of CodeSports.Ai (CodeSportsAi.com)

Daksh has been working in the software development industry for more than 24 years and has worked with startups, midsized and well as with MNCs(NOKIA). Over the years, Daksh has performed various roles which includes Tech Advisor, CTO and Senior Architect. Daksh is also an open source enthusiast and contributor

I’m a curious and analytical mind by nature. I’m a physicist turned research software engineer who enjoys both coding and wandering in the mountains—fortunately, I live in Switzerland. Outside work, I enjoy puzzles, retro tech, and meaningful conversations. I value exploration, both physical and intellectual.

Emeka Onyebuchi is a Python backend and AI engineer with years of experience building high-impact systems for companies across the fintech, civic tech, and energy sectors. He has led the development of scalable APIs, data platforms, and infrastructure for projects ranging from payment gateways to smart grid applications, often working in challenging environments where network reliability cannot be taken for granted.

I’m a Telecommunications Engineer who grew up immersed in Fourier transforms (aka Francesco in Fourier-Land). Thanks to Fourier analysis, I learnt that things can look completely different when seen from another perspective. I’m particularly drawn to niche and often overlooked topics, and I like to spend my time where I can truly make a meaningful impact.

I currently work as a Data Scientist at AgileLab, an amazing company that has given me the chance to work on fascinating projects.

Jyoti Yadav is a Cyber Security Data Scientist at Microsoft with extensive experience in data science,
machine learning, and cybersecurity. Having worked at companies like Blockchain.com, EXL, and
Lucidian, she has built advanced models for fraud detection, market forecasting, and security risk
assessments. She specializes in predictive modeling, machine learning,
anomaly detection, Agentic AI, and Large Language Models (LLM). Passionate about driving
impactful results.

Python, Linux and Open Source proponent. Cloud Evangelist, Python trainer and programmer. Reportedly seen at Warsaw Python meetups since the first PyWaw meeting ever. Recognized as an Inland Sailor by the Polish Sailing Association and as an inventor by the US Patent Office.

Panos Vagenas is an Advisory Engineer at IBM Research, leading development efforts at the intersection of Artificial Intelligence, Information Retrieval, and Data Management.

Currently, Peter manages the 'AI for Knowledge' group at the IBM Research - Zurich Laboratory. The group focusses on the development of Docling.

Peter joined the IBM Research - Zurich Laboratory in July of 2014 as a post-doctoral researcher. The Belgium-born scientist first came to IBM Research as a summer student in 2006.

Prior to joining IBM

Dr Piotr Gryko, studied experimental physics at University College London. His PhD at Imperial College London focused on using biomaterials to self assemble inorganic materials, merging the boundaries of biological systems and machines.
With 12 years of experience writing software, he now focuses on AI engineering.

Saransh is a "generalist" research software engineer at UCL’s Advanced Research Computing Centre (at the time of writing this proposal), where he works on Python, HPC, DevOps, and Education projects. Before UCL, he was a research fellow at CERN working on computational physics software, and he will be joining EPFL as a graduate student this fall. Moreover, he develops and maintains several open-source scientific software, which he believes are the key to collaborative and reproducible research.

Sneha is a software engineer and QA specialist with 3 years of experience, currently working at Swiggy. She focuses on ensuring that web, mobile, and backend systems work seamlessly and reliably. She uses tools like Playwright, Appium, WebdriverIO, and Postman to find bugs early and deliver smooth user experiences at scale.

Previously, she worked at CloudDefense.AI, Morgan Stanley, and Wingify, where she built a strong foundation in cloud security, software development, and testing. Known for h

I am a maintainer of the scikit-learn machine-learning library. In the past I've worked on building and running mybinder.org and JupyterHub.

I am employed by NVIDIA.

I led the development of a stock-trading platform for 8 years. Some bits of C++ and Cython aside, the platform was mainly a Python-based distributed system. Scaling and performance optimisation became not just a necessity but a passion for me. I've since returned to my freelance & consulting roots, and still enjoy helping clients with tough Python problems. Strangely, I've never studied computer science and often run away from all technology into the mountains, forests, and seas of our planet.