自己紹介
モバイルアプリケーションChief Scientist, CTO, DevOps and ML Architect, Mobile App developer, mac OS
Over the last 10 years I have built scalable ad networks using Linux, Mobile App, Mac OS, SAS, python, and C++ using information retrieval and machine learning algos and deployed on AWS and Datapipe. I architect scalable scrapers in python using aws ec2 and MapReduce, scalable time series forecasting, and machine learning algos for real time decision making for online solutions. I also optimize SEM using bing, yahoo, and Adwords API's with integrated google analytics api support. My stack is nginx, uWSGI with the gevnet loop,python, Redis, Riak, Druid,Hadoop, and MySQL. My active DevOps development stack are the following:
Web Development:
Client Side:
Angular2 for dashboards with firebase
Angular2 Universal for seo
Angular2 NativeScript for mobile on ios and android
Server Side:
Flask restful api
Platform: Ubuntu 64
CM (Configuration Management): Chef Server, Chef Solo and Hosted Chef
Containter Services: Docker with aws ECS
SCM (Source Code Managment): git, github, bitbucket
AWS: ec2, S3, ELB, SDB, Route53, RDS, EMR, Dynamo
Databases: MySQL with Fabric sharding, Redis, Elasticsearh (ELK stack), HBase
Async Message Passing: zeromq
MapReduce: Cloudera Hadoop, MapReduce with python streaming, HIVE, Kafka
Webservers: nginx, uwsgi with gevent loop, Node.js
Load & Stress Testing: Apache AB, Tsung
Scripting Languages: Python, Lua, Ruby
Low Level Languages: c++
Monitoring Tools: Monit, M/Monit, Munin, Graphite
Stats: R, SAS, SPSS, Scikits, scipy or anything else
Active machine learning and Stats Stack:
Google Tensor Flow For neural nets
Scalable Decision Trees
Artificial intelligence
TD-IDF
Python NLTK
Latent Semantic Indexing and Non negative factorization
Support Vector Machines
Scalable Time Series analysis for forecasting and structural breaks
Optimal control and Constrained Optimization
Multi-armed bandits and reinforcement learning
High dimensional Clustering
Network graphs
Virtual reality, Business intelligence, Augmented Reality
Scraper stack:
Thank you for your attention!
Kind Regards
- 稼働時間の目安
- 仕事できます
- 得意なカテゴリ
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ソフトウェア・業務システム開発Windowsアプリケーション開発Macアプリケーション開発
- 得意なスキル
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Adobe Photoshop CS5 6年C# 4年C++ 7年HTML 4年JavaScript 5年MySQL5 3年PHP5 5年Python 6年WordPress 7年ウェブセキュリティ 8年
- 登録日
- 2018年1月5日
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資格
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Master of Computer Applications (M.C.A.), Computer engineering