Hi! I am Christos; welcome to my website: "ML-Affairs!".
Its sole purpose: to share my passion and learnings in this exciting area. If you share the same passion and are looking for a refreshing look at things, then you are at the right place.
Portfolio
Over the last decade, my career has evolved from academic research during my PhD at King's College London to impactful roles in the industry. As a Lead ML Engineer at Vortexa Ltd, I specialize in developing ETL/ML pipelines for real-world applications in tanker operation forecasts, blending research with commercial viability.
>My experience spans multiple domains, where I've applied deep learning, particularly in NLP, echoing my PhD research. Additionally, I'm deeply involved in graph analytics, contributing over the years to various projects and clients. As an enthusiast of stream processing and software engineering, I continue to champion Apache Flink and have actively participated in the London meetup community for several years.
Explore my projects and contributions below.
Company Neighbourhood Instantiator
Mining Public Opinion on Twitter
Feature-based Customer Review Mining
Generating Java POJOs from avro schemas
My PhD Thesis: Persuasion Dialogues & Opponent Modelling
About Me
I embarked on my journey in the world of machine learning and AI with a PhD in Computer Science from King's College London in 2014. Over the years, my career has spanned both academia and the industry, with significant roles in data science and engineering at companies like UBS and Vodafone through Data Reply Ltd, and now as a Lead ML Engineer at Vortexa Ltd. At Vortexa, I focus on developing ETL/ML pipelines for tanker operation forecasts, bridging the gap between niche research and real-world applications. The evolution of AI in the mid-2010s brought about unique challenges, especially in integrating ML prototypes into production. I encountered hurdles like the lack of robust infrastructure, the gap between data scientists and software engineers, and the need for improved tools for model maintenance. These experiences have shaped my understanding of the iterative nature of ML projects. As I navigate my role in the AI and ML fields, I am currently a committee member expert at the ISO's JTC'21 committee on AI standards, with plans to actively participate in editing teams within the Working Group 3. This step marks a new phase in my career, where I aim to contribute more significantly to AI standards and practices. My journey is a testament to continuous learning and adapting, and I look forward to sharing insights and experiences from this evolving path.
Contact
I am very responsive on Linkedin. If you are looking to get in touch to discuss a topic of interest or something I have blogged about, please do so directly through my LinkedIn account. Alternatively, if you are looking for professional consulting services or if you would like me to evaluate your product, please e-mail me using the below template and use "Consultation Request" in the title of your message.
Welcome to ML-Affairs!
Welcome to ML-Affairs, a space where I, Christos, share my journey and insights in the world of machine learning and AI. This site is a reflection of my passion for applied data science and a place for those who seek a nuanced perspective in this dynamic field. As a seasoned ML Engineer and a continuous learner, I aim to explore and discuss the latest trends, challenges, and breakthroughs in AI. Whether you are a fellow enthusiast or a professional in the field, I hope to offer a refreshing and informative experience.
Join me in this exploration by following me on Twitter at @chatzinikolis.
