Khashayar Yadmand

Khashayar Yadmand Tehran-Iran (-- Experienced Java and python and R with a demonstrated history of working in the information technology and services industry. Skilled in Java Enterprise Edition, SQL,NOSQL, JavaScript, Oracle Database. Strong engineering professional with a Master’s Degree focused in Deep Learning and software development. SKILLS Software Language development LANGUAGES python – scala – java – aspect oriented with java – groovy - c - c++ - Persian (Mother tongue) R - Javascript English (Advanced) Database rdbms (oracle-mysql – apache cassandra ) NOSQL (MongoDB – Elasticsearch – redis - aerospike) Operating System Redhat linux for implementing software on server without x - Ubuntu - linux Mint on Machine Learning Systems Build Automation Tool Docker - Apache Maven - Gradle Network Protocol Implement Websocket as Server Side and Client Side Implement MQTT Protocol Implement Queue base Protocol with Activemq And Rabbitmq Implement Server Side Rest Protocol with Swagger interface with java and python languages Other Framework Django - familiar orm( hibernate - pymango ) & spring boot & spring DI - Apache Max net - Apache mahot - ActiveMQ - RabbitMQ -Familiar with Mule ESB - Deep Learning Familiar with framework : tensorflow -pythorch Application implemented : Market Basket Analysis use Time Series base on deep learning - Othelo game - Speech to text (Persian) Familiar with Cuda 9-10 on Nvidia-GPU and how gpu working with deep learning frameworks Use Deep Learning concept in implemented project and Familiar with architecture of network : Convolutional Neural Network - Recurrent Neural Network ( Long short-term memory - Gated recurrent unit Bi-directional) Algorithm combined with deep learning concept : - monte carlo search tree on othelo game for fined best move on the board and convolutional neural network -apriori algorithm on market basket analysis and lstm for learning behavior of customers all of dataset and predict next basket -Connectionist temporal classification for speech to text loss function and combined with Bidirectional LSTM -Use Markov chain algorithm and combine with lstm on market basket analysis for finding interest of customers -Changing and implement language model for persian Speech to Text ​https://github.com/kpu/kenlm Machine Learning .working with k-means on clustering based on loyalty of Banking Business .implemented auto identify input language language with KNN algorithm .implemented Apriori hybrid for market basket analysis system Big Data Analysis Familiar with frameworks : Spark - Hadoop - Kafka - Hive ElasticSearch EXPERIENCE Fanap Infrastructure Software Development, P ​ ardisIran— Technical Leader Artificial Intelligence Platform Data Scientist - Backend Developer March 2018 - PRESENT 1.Research to buy the device (Gpu) and and test these devices based on requirement (how working with cuda technology and Deep Learning frameworks) 2. Machine Learning Infrastructure As a Service . Design solution for customer upload data with standard structure (in progress) . Design and implement streaming-data processing systems in big data (in progress) . Design solution for data analysis and get features from data and prepare for machine learning training (in progress) . Design and implement (Machine Learning Platform) environment for external data scientist develop machine learning algorithm with framework like : tensorflow,Apache Maxnet (in progress ) 3.Applications . Design infrastructure for Speech to text Engine on Persian Language (in progress) .Design and Implement Market basket analysis Application base on raw dataset and use Markov chain & Deep learning LSTM for predict next basket base on last order customer and general interest (Done) .Design and Implemented Game agent ai base on Deep Learning , Self Learning, Reinforcement Learning on Playpod platform (game platform of fanap) othelo game - (done) Fanap Infrastructure Software Development, P ​ ardisIran— Senior Software Developer March 2016 -March 2018 Design and Implement Notification Module base on Service Call on Customer base on Sms – Email – Internal Notification and groovy parser for small rule engine . Working on BPMS Engine Framework : implemented Communication for distributed processing Between multiple System and Implemented stream processing with Kafka (KSQL) . Design and Implement Workflow Module for generate Workflow process base on BPMS on web Application and use it in http://sw-khz.ir​ and use it in Provincial Government Khuzestan : Generate Nosql Document based On Process Fields Requirement and possible to change process field structure when generation process was completed Implement dynamic status of process based on status customer use for business Generate Java CRUD (Create - Read - Update - Delete) Structure for step of flow in BPMS Engine . Working in infrastructure with External Service Buss (ESB) Module implemented websocket protocol and queue protocol . Working in infrastructure platform Engine Create BPMS Process .Implement in house Framework for non functional Feature (measure of Transaction per seconds with Aspect oriented concept - testing ui with Selenium framework ) .Implemented Monitoring System for Checking 24/7 live other modules Douran ERP Team, ​iran— Java S ​ oftware Developer January 2015 - Septamber 2015 Developed multiple Module ERP system Developed in House ORM (Object Relation Management ) base on RDBMS database. Developed Business Intelligence solutions and implementing KPI - Time Series Trends -charts also create ETL base on financial data set on red crescent company t.implemented bidirectional replication on oracle database for airline tickets on oil company EDUCATION Poyandegan Danesh University​, ​Chalous - Iran — B ​ .S. Computer Science - Hardware Engineer- Azad Eslami Eslamshahr University​, T ​ ehran-Iran — M ​ .S. Computer Science,Software Engineer- PROJECTS Increasing speed processing of textual data using Spark's ability and Scala language (Evolution with K-means Algorithm)