Summary
Asya Evloeva is a Machine Learning Engineer based in London with 8 years of experience building end-to-end ML solutions, from scalable pipelines and real-time data platforms to interactive visualisations. She combines a strong Python, SQL and cloud toolkit with domain expertise spanning sustainability, customer analytics and chemoinformatics, informed by dual master’s training in chemoinformatics. Her background includes designing a full-stack platform used by 500+ companies, productionising churn and LTV models, and molecular alignment work for drug discovery—showing fluency across both enterprise analytics and scientific modelling. Comfortable with DevOps, UI/UX design, and generative projects (including NFT generation), she bridges product, engineering and research to ship impactful, user-facing systems. Notably, she pairs deep technical rigor with an eye for design, enabling data products that are both robust and usable.
8 years of coding experience
6 years of employment as a software developer
Master's degree Chemoinformatics, Master's degree Chemoinformatics at University of Strasbourg
Master's degree Chemoinformatics, Master's degree Chemoinformatics at ITMO University
Russian, English, French