Patrick Casey is a technical leader and full-stack engineer with 9 years of hands-on experience creating microservices, APIs and web applications. He possesses a broad knowledge of web and Microsoft technology stack, including PHP, JS frameworks, .NET. While he is working in several companies as a core engineer, he has learned how to deliver critical and highly available software systems, and secure, and lead technical teams, by creating an easy development environment, fixing technical debts, providing the best codes and mentoring dev. Patrick was also a senior software developer at Shopify, where he developed a Django app integrated with the Jira platform and a slack bot for knowledge discovery.

Nicholas Lu is a goal-oriented engineer focused on ML systems and distributed architecture. He works across the MLOps lifecycle, building and maintaining data and model pipelines using Airflow, Spark, Kafka, and Kubernetes. His experience includes deploying containerised workloads with Docker, managing infrastructure via Terraform, and implementing CI/CD with Jenkins, GitLab, and Bitbucket Pipelines. He supports site reliability through monitoring, automation, and incident response in cloud environments (AWS, GCP, Azure, Alibaba Cloud). He codes in Python, Java, SQL, and Bash, and works extensively with Linux and open-source tools.

Anni Huang specialises in artificial intelligence with a strong focus on algorithms, machine learning, and deep learning applied to real-world industrial challenges. Her work spans end-to-end data science pipelines, model development, and deployment, with particular emphasis on MLOps practices. She builds scalable workflows on Google Cloud Platform and is advancing her MLOps capabilities on AWS, covering model versioning, CI/CD, monitoring, and reproducibility. She is proficient in software development, data visualisation using R and Tableau, and translating complex models into production-ready solutions.

Experienced software engineer with a focus on server-side development, DevOps engineering, and server maintenance. Skilled in front-end development using modern JavaScript frameworks. Worked in various industries including FinTech, Education, Healthcare, Community, and Social Media.

Sebastian is a Senior Data Science consultant with a background in industrial engineering, data science, and business administration, and more than 5 years of consultancy experience at top-tier consultancy firms (e.g. Deloitte) working for numerous Fortune-500 companies in various Data Science subjects such as Machine learning, MLOps, Natural language processing, finance analytics, M&A analytics, and satellite analytics. He is proficient in using different programming languages (e.g. Python, R, Java), and cloud environments (e.g. Azure, AWS, GCP). Lastly, he is also experienced in business skills such as coaching, project management, and stakeholder management.

Laura Halacheva is a data scientist with experience in data modeling, statistics, and machine learning, both theoretical and applied. She has wide experience with applications in various domains, including medical data analysis, natural language processing, conversational models, and e-commerce. At Ontotext, she led the data science of the R&D department. Her clients include MobiBiz, Canadian Heritage Information Network (CHIN), and more.

Patrick O’Dowd is an RPA developer with extensive hands-on experience with Kong API Gateway, API Management, RPA Automation Anywhere v11 + A360, Azure Cloud, Terraform, Ansible, IBM MQ, Kafka, Istio, IBM App Connect (Integration Bus), SAP Process Orchestration, Java, C, Jenkins, Kubernetes, and Docker. He works as enterprise integration, API, and RPA architect at GSK, responsible for enterprise-scale solutions for internal and external applications and process integration, including APIs and RPA.

Heli Shah is a solutions-driven data analyst with over four years of experience in leading cross-functional data in development, documentation, and delivery of process innovations driving the attainment of business goals. Her areas of expertise include statistical analysis, machine learning, data analytics, data visualization, data science research, data reporting, data mining and cleaning, and preparation. At The Madison Square Garden Company, she was responsible for the development and delivery of ad-hoc and scheduled reports and data sourced from the Oracle Fusion Human Capital Management system. Heli also worked as a data analyst at The New School in New York, where she created highly segmented reports and data extracts for development, alumni relations, and other departments throughout the university.