Alisher Abdulkhaev

Alisher Abdulkhaev

ML Engineer @ Browzzin Board Director @ MLTokyo Ph.D. candidate @ University of Tsukuba

Curriculum Vitae in pdf format

Personal Data

Education

  • 2020 - 2023 (expected): Ph.D in Graduate School of System and Information Engineer, Department of Computer Science, The University of Tsukuba
  • 2012 - 2015: M.S. in Electrical and Electronics Engineering, Gaziantep University, 2015 (GPA: 3.64/4.00)
    • Master Thesis: New Approach for Video Watermarking - genetic algorithm based video watermarking method has been proposed in which the watermark is embedded in an appropriate (optimized by the genetic algorithm) layer of an image. The performance of the proposed method is evaluated over the NCC and PSNR metrics.
  • 2008 - 2012: B.S. in Electrical and Electronics Engineering, Gaziantep University, 2012 (GPA: 2.45/4.00)
  • 2003 - 2008: International High School, 2008 (GPA: 5.00/5.00)

Work experience

Year(s)TitleCompany/OrganizationLeaderDuties
2022 -Lead AI Vision EngineerROMS, AI Vision team leading AI and robotics team
2020 -Board Director & Community LeadMachine Learning Tokyo, boardSuzana Ilicplanning the events, leading the community
2019 - 2021Teaching FellowTokyo Data Science SchoolMichal Fabingergiving lectures
2018 - 2022Computer Vision EngineerBrowzzin, AI teamOzgur Yilmaztraining DL models, implement endpoints
2018 - 2020Core Team MemberMachine Learning Tokyo, core teamSuzana Ilicorganizing and holding DL workshops
2017 - 2018Machine Learning EngineerPKSHA Technology, CV teamYotaro Watanabetraining the SOTA face recognition models
2016 - 2017Research InternRakuten, RIT (R&D)Bjorn Stengertraining deep networks for image retrieval

Skills

Machine LearningSoftwareLanguages
OpenCVDockerUzbek: native speaker
Scikit-learnLATEXKyrgyz: native speaker
PyTorchmongodbTurkish: native speaker
KerasPythonEnglish: fluent
TensorFlowMATLABRussian: intermediate
Object detectionRESTful APIJapanese: intermediate
Metric learning  
Semi-supervised learning  
Facial recognition  
Subspace methods  

Certificates

  • Machine Learning by Stanford University on Coursera (grade: 93%)
  • NLP with Classification and Vector Spaces on Coursera (grade: 98%)

Awards

Year(s)AwardOrganizerCity & Country
2020Gold medal in EdgeAI competitionMETI & NEDOTokyo, Japan
2015TUBITAK ScholarshipTUBITAKAnkara, Turkey
2008The most successful studentInter’l High SchoolOsh, Kyrgyzstan
20084th place in Computer Programming OlympiadsRepublican OlympiadsBishkek, Kyrgyzstan
20064th place in Computer Programming OlympiadsRepublican OlympiadsBishkek, Kyrgyzstan
20051st Place in Computer Programming OlimpiadsProvincial OlympiadsOsh, Kyrgyzstan
2003 - 2008Full Tuition ScholarshipInter’l High SchoolBishkek, Kyrgyzstan
20021st Place in Chess CompetitionProvincial OlympiadsOsh, Kyrgyzstan
  • METI: Japanese Ministry of Economy, Trade and Industry
  • NEDO: New Energy and Industrial Technology Development Organization
  • TUBITAK: The Scientific and Technological Research Council of Turkey

Projects

    Talks and presentations

    Publications