Märt Bakler
About Märt Bakler
Märt Bakler is a Founding NLP Engineer at Paperplane, where he automates data annotation processes and focuses on improving pipeline accuracy. He has a background in data science and artificial intelligence, having previously worked at KPMG Baltics and Swedbank, and holds degrees from The University of Manchester and Imperial College London.
Work at Paperplane
Märt Bakler serves as the Founding NLP Engineer at Paperplane, where he is responsible for automating data annotation processes. His role involves training and deploying large language model reader-retriever pipelines, with a focus on improving pipeline accuracy and evaluation. Bakler has been with Paperplane since 2022 and participated in Y Combinator's 2023 batch, contributing to the company's growth and innovation in natural language processing.
Previous Experience at KPMG Baltics
Before joining Paperplane, Märt Bakler worked at KPMG Baltics as a Data Scientist. His tenure lasted from 2019 to 2021, during which he spent two years in Estonia. He returned to KPMG in 2022 for a five-month period, further developing his skills in data science and analytics within a corporate environment.
Internship at Swedbank
Märt Bakler gained early professional experience as an intern at Swedbank in 2017. This internship lasted for three months and provided him with foundational insights into the banking and finance sector, contributing to his overall expertise in data analysis.
Education and Expertise
Märt Bakler holds a Bachelor of Science degree in Mathematics with Finance from The University of Manchester, where he studied from 2016 to 2019. He furthered his education by obtaining a Master of Science degree in Artificial Intelligence from Imperial College London, completing his studies in 2022. His academic background supports his specialization in natural language processing and data science.