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Senior software engineer / Tech Leader / AI Enthusiast

I'm a software engineer passionate about innovation and pushing the boundaries of technology. While I have over 16 years of experience building web applications, my true passion lies in AI and generative frameworks. I'm currently focused on studying Langchain, Semantic Kernels, and leveraging LLM for code generation. I thrive in research and development roles where I can understand a business's challenges and needs, then prototype solutions using cutting-edge technologies. I naturally take on a researcher position in teams and love learning about new concepts that can drive innovation. While I may not always be the strongest explainer, I strive to become a source of knowledge for colleagues on AI and its applications. My leadership abilities are still developing, but I shine as an individual contributor who can advance a company's technological capabilities. I'm particularly interested in organizations looking to get ahead of the AI revolution. My experience with Python, C#, and Node.js allows me to build prototypes and proofs of concept, though I'm always eager to pick up new languages and frameworks. Outside of work, I continue to expand my knowledge of AI through side projects and independent research. I'm passionate about this emerging field and believe generative technologies will transform software engineering. I hope to find opportunities that allow me to work with other innovative thinkers in exploring AI's possibilities and building the future. Overall, my curiosity, technical skills, and vision for the impact of AI position me to thrive in research-focused roles at companies with ambitions for real innovation.

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Senior Data Scientist: Machine Learning / AI

I am a data scientist with 7 years of experience as a freelancer in diverse industries. My mission is enabling my clients and the teams I work with to implement data-driven innovation, making the connection between use cases, algorithms, and the appropriate tech stack. I am mainly focused on machine learning from prototype to deployment, but my work also regularly involves optimization and data mining. Data-driven Innovation – end-to-end To make data-driven innovation succeed, I work with my clients in all phases of a data science project – including business case discovery, structuring of requirements, selecting appropriate methods, algorithms and tech stacks, and finally deployment and evaluation in production. Full Stack Data Science Full stack refers to the software engineer who is familiar with both the user-facing side and the backend infrastructure of software. Similarly, the full stack data scientist understands the analytics methods as well as user interaction and infrastructure needed to put it all into practice – a fitting description of my typical role in data science projects. I am especially interested in establishing software engineering best practices in the field of data science. Pragmatic AI Artificial Intelligence is currently both overhyped and underrated. We have seen some remarkable progress in AI capabilities, yet many companies struggle to put intelligent systems to work on everyday use cases. Work with me to go beyond the hype and connect business cases to technology – because many valuable, pragmatic cases for self-learning systems are within reach for your enterprise.

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