from Scratch Spaceport Odyssey - IOS - Educational app -> Built from scratch by myself Go City Pass - Travel Guide - Android - Travel Guide app for multiple cities -> Refactoring and new features New York Pass - Travel Guide - Android - Travel Guide app for New York -> Refactoring and new features Dision - Android / IOS Developer, May 2017 ~ Sep 2018 Easy Credit - Android - Application which allows you to easily apply for Credit -> Added new features LittleLives Check In - Android - App for kindergarten teachers -> Completely refactored this app and implemented full offline support. Danishoes EOOD , Master Shoemaker, Jun 2010 ~ Dec 2016 Education Telerik AcademyOne year program certificate

員合作，打包 Docker 映像並將任務提交給 Computing Farm( IBM ) 進行並行處理。 設計並實施基礎設施，以支持人工智慧項目的持續交付，整合 AWS Sagemaker 和 Computing Farm( IBM ) 以實現 MLOps 。 擅長 CICD 整合，利用 Docker 多階段構建和構建基本映像以節省超過 50% 的時間。 每日監控機器警報和指標，並

are the 3 main parts I have used in this project. - Amazon Web Services (AWS) - Unreal Engine -Web3( Solana, BSC,ETHAWS: Neptune: use Neptune to store and update complex relation data like clan member relations, player camps, and NFT metadata. Neptune has a very strong relationship with AWS SageMaker. I have prepared some tools for the data science / ML side. Cognito: Use Cognito for permissions and auth management in cross-platform devices. the user would be able to log in with various platforms. Within the Lambda function, I add a web..

Compose、 PostgreSQL、Mysql、CI/CD (CircleCI)、Nginx、Gunicron、uwsgi、Git、Stress test 等技術進行開發及部署。 * 運作於 AWS 相關服務，包括 EC2、Elastic Beanstalk、RDS、ElasticCache、K8S(by ops)、Route 53、CloudFront、WAF、Lambda、DDB、ELB、S3、SNS、SageMaker、Auto scaling、IOT等。 * 監控: k8s + Prometheus、Grafana [ML & MLOps] * 在自然語言和語音評分領域擁有專業知識和技能，能夠實現多種產品模型，包括中文推薦

Cloud (AWS): Other: C, Python, C++ Tensorflow (TFlite, TFmicro), Keras, Caffe, Darknet Anaconda, Git, Gerrit, Perforce, Pycharm, CVS, Jira, Confluence Google Coral TPU, Lattice ECP5, U+, Crosslin-NX FPGA, Raspberry Pi, Intel Movidius, NVIDIA GPU Compute Engine, App Engine, Vision API, Auto-ML, Container Registry, Kubernetes Engine Sagemaker, DeepLens, Lambda, Rekognition API, Reko API custom labels Docker, OpenCV, Machine Learning, Deep Learning, Computer Vision, Convolution Neural Nets (CNN), LSTM, Networking, Model Optimization, Quantization, Pruning, Linux Kernel, OpenWRT Work Experience Work Experience AI & Embedded Systems Consultant Self-Employed • FebruaryPresent Working with companies to blend AI with embedded systems

Peter Kazsuk In the next 3 years I would like to gain more knowledge and experience in shoemaking in England, the main home of this profession. I think John Lobb would provide the best opportunity to do so. As one of the greatest fan of English shoes, I am so enthusiastic to do anything, with which I can be a part of your company. London, UK Work Experience JanuaryJuly 2020 Designer, salesman, executor Vass shoes, Budapest During my 3 years long qualification, I could learn separately these processes: changing last width and toe shape, make the 2D