Saluton! Mi estas programara inĝeniero, kiu ŝatas komputika kaj algoritma investo. I am currenly working as a Sr. Software Engineer at Advanced Technology Lab, Recruit Technologies. Also I occasionally work for other organization as a R&D adviser.
Photos of hiking
- 2014-10-18: Lake Okutama, Tokyo
- 2014-11-23: Sandan-kyo Valley, Hiroshima
- 2015-03-28: Mt.Takanosu, Tokyo
- 2015-09-09: Oirase, Aomori
- 2015-10-13: Fushimi-Inari & Mount Inari, Kyoto
Data Science Competitions & Competitive Programming
I'm naturally attracted to the fields of machine learning and algorithm. I participated in various competitions such as ACM/ICPC, ICFP Programming Contest and many othrer competitions hosted by Kaggle.
Large-Scale World-wide Landmark Retrieval Challenge (2018-2019)
Google-Landmarks is the largest world-wide landmark recognition dataset. This dataset includes over 5 million images of more than 200 thousand different landmarks. Through the competition held in Kaggle, I developed a high-precision data cleaning method that does not require manual annotation costs. My solution developed for the competition will be presented at the workshop, CVPR'19 WS.
- 2019.06: 1st place at Google Landmark Retrieval 2019 (joint work with Shuhei Yokoo)
- 2019.06: 3rd place at Google Landmark Recognition 2019 (joint work with Shuhei Yokoo)
- 2018.06: 12th place at Google Landmark Retrieval Challenge
- 2018.06: 8th place at Google Landmark Recognition Challenge (slides)
Instance Segmentation for Satellite Imagerymy blog post. Also, I provided the first model that CosmiQ Works adds to their geospatial deeplearning pipeline package, solaris.
- 2018.XX: 5st place at SpaceNet Off-Nadir Building Footprint Extraction Challenge
- 2017.XX: 1st place at SpaceNet Building Footprint Detection Challenge
- 2017.03: 10th place at Dstl Satellite Imagery Feature Detection
Kaggle competitions (Since 2010)
I am a Kaggle Grandmaster (an honor to top competitors with outstanding data science skills) with 3 prize winner results. My highest rank is 4th of 530,000+ data scientists on 2016 April.
Kaggle is the largest data science community in the world. Kaggle always provides us great opportunities to learn a wide range of professional skills on machine learning, recommendation, forecasting, natural language processing and image recognition. I played many competitions with talented data scientists across different domains.
- Since 2010: Entered Many Kaggle Competitions (Highest rank: 4th/530k at the Kaggle ranking on 2016 April.)
- 2016.02: 2nd place at Genentech Cervical Cancer Screening (joint work with Dmitry Efimov, Lucas Eustaquio and Gilberto Titericz Jr.) [solution]
- 2016.02: 3rd place at Telstra Network Disruptions (as a solo competitor)
- 2016.01: 3rd place at NOAA Right Whale Challenge (joint work with Eben Olson and Shize Su.) [report]
- 2015.10: 1st place at Springleaf Competition (joint work with Peng Yan, Tam T. Nguyen, Song Chen, Zhaocai Chen and Jiao Yao.)
KDD Cup (ACM SIG-KDD) 2015
The KDD Cup, sponsored by ACM/SIGKDD, is one of the most prestigious data-mining contest. The task in 2015 was to predict whether a user will drop a course within next 10 days based on his/her prior activities. My team, "InterContinental Ensemble", won the 1st prize.
- 2015.07: 1st place at ACM SIGKDD, KDD Cup 2015 (out of 821 teams; joint work with Jeong-Yoon Lee, Andreas Töescher, Michael Jahrer, Mert Bay, Peng Yan, Song Chen, Tam T. Nguyen and Xiaocong Zhou.)
- 2014.07: 7th place at ACM SIGKDD, KDD Cup 2014 (out of 472 teams).
The ICFP Programming Contest 2014
The ICFP Programming Contest is an international programming competition held annually since 1998. The task in 2014 was to write an AI for a simplified pacman game. You could write an AI in any programming language on any platform(s), as long as it compiles to SECD machine instructions for pacman and 8-bit machine assembly instructions for ghosts. I wrote a compiler for pacman in Haskell and finished at 6th place on lightning round (the stage of first 24 hours.)
- 2014.07: The ICFP Programming Contest 2014 (6th/94 in Lightning Round. My teamname is Standard ML/Yeah!)
Competitive Programming / ACM-ICPC and Google Code Jam
Competitive programming is a mind sport where participants compete to solve a specific problem by coding. ACM/ICPC is an annual multi-tiered competitive programming competition amoung the universities of the world. I joined this contest with two collageate friends at Tokyo University of Science and advanced to the Asia Regional Contest 2 times.
- 2012.05: Google Code Jam 2012 (Advanced to Round 2)
- 2008.10: ACM/ICPC Asia Regional Contest 2008, Aizu.
- 2007.11: ACM/ICPC Asia Regional Contest 2007, Tokyo.