The specialized team driving our AI technolgy
Formerly an Assistant Professor at Saitama University, Antony made the move to industry by joining Mercari in May 2019. His experience in academia was primarily in Computer Vision (recognition, physics-based vision) and he also did some ML for neuroscience. At Mercari, he conducts R&D while employing a wide range of ML approaches for Computer Vision, Clickthrough Data, and Data Mining. At Mercari, he has contributed to both product development and academia. Feel free to check out his Google Scholar profile here.
Abhijeet joined Mercari as a new graduate in 2019 and is currently working as a ML engineer on the Data Science Backend Team—a team with a unique intersection of responsibilities. While Abhijeet and his team provide data science support to backend teams to help them develop better personalized services, they also provide backend support to ML teams, assisting them in the development, deployment and maintenance of the services that support their ML models. Through this work, Abhijeet has developed a diverse skill set in ML as well as backend development. Abhijeet is also the scrum master of the team.
Kumar joined Mercari as a new graduate in 2018. He started out as a ML Engineer on the Image Search Team and then moved to the Data Science Backend Team where he is currently working as an Engineering Manager & Tech Lead. Kumar’s team focuses on providing a personalized experience to Mercari’s users through ML along with developing backend solutions to scale the use of data science. In addition to his interests in ML and backend development, Kumar also enjoys formulating efficient, agile processes within the engineering teams.
Adam is an Engineering Manager working on the Mercari ML platform. He has had experience at startups in Australia as a Data Engineer and ML consultant mostly in the finance and legal sectors. He is interested in Machine Learning operations and cloud infrastructure. His goal is to create a best practice ML operations team and world-class ML platform.
Akihiro joined Mercari in 2018 as a ML Engineer and, as tech lead, is responsible for optimizing the cost-benefit of coupon marketing. He is currently a member of the Trust and Safety Team, where he is in charge of projects to improve safety and security on the Mercari app. Akihiro has experience leading product management at several startups, and he also specializes in comprehensive product development that includes everything from project design to implementation and evaluation.
Ankur joined Mercari in October 2019 as a Software / ML Engineer. He has worked on developing both ML models and the backend systems required to deploy them. Ankur has also worked on analyzing and improving the effects of Online Experiments in the marketing domain.
Machine Learning Engineer
Having experience in both Machine Learning and Software Engineering, he contributes to ML projects end to end from the initial exploratory data analysis, to the ML modelling and the eventual productionalization and online business impact evaluation. In terms of Machine Learning he has used deep learning techniques to perform both Image Recognition tasks to help our customers list items more easily and Natural Language Processing tasks to enrich and understand our item data better.
Anupam joined Mercari in 2022 as an engineering manager in the Recommendation Team, which focuses on leveraging machine learning to improve the product discovery experience for users. Before joining Mercari, he had experience in developing and deploying deep learning models for search quality improvement, as well as leading development of data platforms for solving MLOps use cases. He is passionate about continuous process improvement and adopting quality-driven development paradigms in agile environments.
Chica has worked as a game programmer and AI development consultant before joining Mercari. She has experience working as an MLOps Engineer for AI services, and currently works on EdgeAI technology to bring AI working on low-spec devices such as smartphones.
Shaopeng joined Mercari in 2019 as a new graduate. Initially a member of the Image Search Team, he is now a member of the Listing Quality ML Team, which aims to leverage ML to deliver a better listing experience to Mercari’s users. Shaopeng and his team employ ML suggestions to assist users in listing items. Additionally, he has experience in ML system development, modeling, and model evaluation based on user behavior analysis.
Director of Search, Discovery and Product metadata
Cournapeau has a background in Machine Learning, with a PhD in the domain of speech recognition. He has more than 15 years of experience working at the interface of software engineering and science. In the last 4 to 5 years, he moved into a leadership role to help organizations improve their products through data and Machine Learning.
He used to be a core contributor to NumPy and SciPy, and was a regular speaker to python conferences, including as a keynote speaker in PyCon Colombia and PyCon Thailand.
Deddy is a ML Engineer who joined Mercari as a new graduate. He is responsible for analyzing marketing campaigns using statistical models and mathematical optimization. On top of predicting which users respond positively or negatively to campaigns, Deddy also provides detailed explanations for those behaviors. He then shares those insights with stakeholders to discuss ways to improve future campaigns.
Kazuaki has been working on the enterprise search platform, search engines, and Natural Language Processing libraries. Currently he works as an Engineering Manager for the Search feature team to improve search quality and user experience. He also works on the Lucene related open source projects.
Keisuke is a Software and ML Engineer with experience in financial modeling and recommendation engine development at web companies and Fintech startups. He is currently involved in multiple teams as an Engineering Manager. He is and was also involved in the development of OSS for deep learning frameworks and hyperparameter optimization, and as an evangelist, he strives to popularize the libraries.
Kenta joined Mercari in September 2018 as a Tech Lead for the Backend teams and currently Engineering Manager at Customer Reliability Engineering Camp. At the team, he is managing a feature team where Backend and ML Engineers belong. Before Mercari, he worked as a full stack engineer in the US and Japan for more than 10 years.
After working as an analytics consultant, Koya joined Mercari in 2022. As a marketing data scientist at Mercari, he analyzed marketing measures using machine learning and statistical models. He is currently working on measures related to improving customer satisfaction, and is responsible for a wide range of tasks from project design to implementation and evaluation.
Mohit is a Software Engineer and Data Scientist with experience in building ML systems and improving Mercari’s experimentation practices. He is currently working as a search engineer, scaling Mercari’s search features and improving search efficiency. Prior to that, Mohit worked on projects related to pricing and influencing user pricing behavior. He was a core member of the team responsible for building the multi-armed bandit system for pricing.
Naoya joined Mercari in 2022 as a ML Engineer. As a member of the Recommendation Team, he strives to improve the user experience on Mercari’s home screen. Before joining Mercari, he worked as a data scientist in charge of developing features using analytics and machine learning in an automotive business. He is a Kaggle Master and occasionally participates in competitions.
Pablo Bordons Estrada
Pablo is a Data Scientist and Engineering Manager in the ML Price Team, currently focusing on helping our users to successfully sell their items in Mercari. Other than price he has worked around data related topics and features such as Image Search. Before joining Mercari he was working as a Deep Learning Researcher in the field of edge AI, where he investigated quantization, compression, and other techniques in order to bring computer vision models into FPGAs. Before that he worked in the gaming industry as a Data Scientist, focusing on behavioral analysis, monetization, and data design.
He is first and foremost passionate about data: from behavioral analysis to online experimentation and optimization, going through all steps in the data generation process such as schema definition.
Paul joined Mercari in 2021 as a Deep Learning specialist. He has experience with the entire ML stack—from modeling and handling large data sets to runtime optimization and cluster deployment—which he leverages to bridge the gap between research and production. Before coming to Mercari, Paul worked in fintech making real-time forecasting models at scale, and also consulted for major Japanese companies.
Prashant joined Mercari in 2019 as an ML Engineer and works with inquiries Mercari receives from users. He leads the development of ML services that help in reducing the time it takes customer support agents to respond to inquiries and the resources spent on customer support operations. Although he is good at working with production ML systems, allegedly, some say he is way better at making pour-over coffee.
After working for an AI startup and an e-commerce company developing ML models using natural language and tabular data, Rintaro joined Mercari in June 2022, where he is involved in improving the operational efficiency of the customer support team as an ML Engineer. Currently, he is in charge of the process for recommending the best response template for user inquiries, covering all steps from modeling to effectiveness verification and product implementation.
Jie joined Mercari as a ML Engineer in 2019. Her work is to support marketing strategies by Machine Learning to meet customer satisfaction and make marketing efforts efficient. Currently she is working on optimizing coupon distribution strategies by applying uplift modeling. Her research domain was computer vision at her master stage and she published papers on CVPR and ICCV. Check out her google scholar page here.
Ryo joined Mercari in 2020. As a software engineer, she has experience developing content moderation and recommendation systems using machine learning. Currently, he is the Tech Lead of the Recommendation Team, working to improve the user experience through personalization.
QIAN is a Software and ML Engineer in Mercari search team. He mainly focuses on search quality evaluation, search relevancy improvement and query intent understanding. As a ML Engineer, he uses different ML algorithms (GBDT, BERT, and etc.) to model user behaviors and seek possibilities of improving search quality. Basically he is working on all tasks of the search A/B experiment pipeline: Modeling -> Implementation -> AB test -> Data analysis and judge -> Release.
Shinya joined Mercari in 2020. As a data analyst, he worked on workflow improvement related to A/B testing and analysis to improve personalization features. Currently, he is in charge of personalization feature development as an ML Engineer.
Shunya has extensive experience developing recommendation engines and graph mining engines in a social platform, as well as adtech and marketing data development using natural language processing. Since 2017, he has been the Director in areas around Artificial Intelligence and Search Engines at Mercari.
Shunya joined Mercari as a ML Engineer in February 2018. His first work is to improve the existing Machine Learning based content moderation system. This project result was accepted by OpML’20. Currently, He is working on optimizing ranking logic to improve the search experience for customers. He privately organizes the MLOps community which mainly discusses how to apply Machine Learning in the real world.
Singh Aman Kumar
Aman is a software and MLOps engineer working in Mercari since 2018 with experience in designing solutions and deployment pipelines for machine learning applications on cloud.
He has a keen interest in open-source tools and building ML platforms using them. He is currently working on improving the ML platform at Mercari and increasing developer productivity.
Subodh is a passionate software engineer with experience in ML infrastructure, CI/CD, production microservices, and Kubernetes. He is currently involved in improving Mercari’s ML platform for multiple ML teams to provide seamless ML training, serving, monitoring, and more on the platform. While building the ML platform, he contributed to the Kubeflow open-source software for improvements in its deployment process and used it in Mercari to benefit from multiple open-source and in-house services, all in one place.
Data Science Specialist with over 20 years experience in making business strategy, developing a machine learning algorithm from large data sets. Clarify customer decision-making mechanisms and insights using advanced statistical models and formulate new marketing strategies.
Tomohiro majored in Library and Information Science in graduate school and has been working on product development for information retrieval and recommendation since graduation.
He joined Mercari in May 2019, worked on prototype development of search evaluation and recommendation systems.Then, he launched the recommendation team and is currently a product manager driving development that improves the overall discovery experience.
Yilin is a ML Engineer at Mercari Japan and is a member of the Marketing Data Science Team. Her background is in applying modeling, mathematical optimization, and other techniques to marketing strategies. she has experience in designing solutions to improve profit by integrating ML and mathematical optimization, as well as analyzing user behavior to improve user engagement through personalized communication.
Yuji joined Mercari in July 2019 as a SysML Engineer and he is currently an Engineering Manager at EdgeAI team. In the team, he leads the development of features that perform Machine Learning inference on mobile apps and browsers. Before joining Mercari, he focused on OSS development, where he developed Docker and launched and led the development of KubeFlow/Katib.
Yusuke worked on improving ad delivery algorithms and setting up data infrastructure at an internet advertising company, as well as on development of a speech recognition product at an AI startup, before he joined Merpay in 2021. He was transferred to Mercari in 2022 and is currently involved in feature enhancement and maintenance of Mercari’s ML platform.
ML Engineer / Backend Engineer
Since joining in 2019 Yusuke has been working on a Machine Learning model and backend development in the Customer Reliability Engineering field, such as violation detection systems. Since then he now handles data analysis and implementation for a team that finds tasks and develops solutions in quick iterations. He has been part of a research and development startup while still in school, and is good at coming up with solutions for difficult problems and tasks.