jonps

I'm a data scientist and software engineer with a strong background in Python, machine learning, data analysis, and building data-driven products. Over the past several years, I've worked on developing SaaS platforms and analytical tools for financial and cryptocurrency markets, transforming large volumes of complex data into actionable insights and decision-making systems.

My experience spans the entire data lifecycle, from data collection and feature engineering to model development, evaluation, deployment, and monitoring. More recently, I've also been working with AI and LLM-based applications, exploring how large language models can enhance research, automation, and knowledge discovery workflows.

What I enjoy most is tackling complex, ambiguous problems where data can drive better decisions. I like combining analytical thinking with practical engineering skills to build solutions that are both technically sound and useful for end users. Having worked across data science, backend engineering, and product development, I've developed a strong ability to connect technical work with business outcomes.

At this stage of my career, I'm looking for an opportunity where I can contribute to a highly talented team, work on challenging AI and data problems, and continue growing in areas such as machine learning, LLMs, and applied research while helping build products that deliver meaningful value to users.