Dimitrios Kouzis-loukas is a seasoned software architect and engineer with 15 years of experience building high-performance, cloud-native and real-time systems across finance, hardware, and scientific domains. He has led teams at Bloomberg designing observability, distributed tracing, and low-latency middleware that process tens of billions of datapoints and trillions of requests daily, and now develops real-time brain-computer interfaces at Neurobeat. Equally comfortable in C++, Python, and Scala, he combines deep systems expertise with practical cloud and Kubernetes deployments to deliver robust streaming and monitoring platforms. He is an active open-source believer—contributing backend improvements to Scrapy and pragmatic examples that reflect a focus on data pipelines and cross-platform reliability. Trained in microelectronics and particle physics (MSc, first in class) and schooled in product innovation at Harvard, he brings a rare mix of hardware, scientific, and product-aware engineering to high-growth blockchain and cloud ventures. Colleagues find him as drawn to disruptive, non-traditional-finance use cases as he is to turning complex telemetric data into actionable intelligence.
15 years of coding experience
19 years of employment as a software developer
MSc Microelectronics System Design (1st in class), MSc Microelectronics System Design (1st in class) at University of Southampton
Leading Product Innovation, Leading Product Innovation at Harvard Business School Executive Education
Varvakeio Lykeio
BSc & MSc in Applied Mathematics Particle Physics, BSc & MSc in Applied Mathematics Particle Physics at National Technical University of Athens
Contributions:144 commits, 4 PRs, 82 pushes in 4 years 1 month
Contributions summary:Dimitrios made several commits focused on modifying and adding functionality to the Scrapy project, including running the project on Windows, removing ranking and forking the pricing database. Their work involved changes to pipelines, settings, and spider files, suggesting contributions to the core web scraping and data processing logic. Furthermore, the user added a JSON example, demonstrating an understanding of data formats and potentially API interactions within the project.
Contributions:8 pushes, 1 branch, 1 comment in 3 years 10 months
pythonscrapydaemonscrapy-spidersspiders
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