Seyed Shayan D.

Seyed Shayan D. Email and Phone Number

Mitacs Accelerate Intern @ Mitacs
Winnipeg, MB, CA
Seyed Shayan D.'s Location
Winnipeg, Manitoba, Canada, Canada
About Seyed Shayan D.

Interested In Computer Vision, Machine Learning, Deep Learning, Data Mining, and Software Engineering.I have 5+ years of experience in the software engineering industry, especially distributed architectures and enterprise software, mostly in Java and various Spring Framework modules.Currently, my focus is on Machine Learning, Deep Learning, Data Mining, and Computer Vision research.My web page and CV are available at: https://shayandaneshvar.ir.

Seyed Shayan D.'s Current Company Details
Mitacs

Mitacs

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Mitacs Accelerate Intern
Winnipeg, MB, CA
Website:
mitacs.ca
Employees:
645
Seyed Shayan D. Work Experience Details
  • Mitacs
    Mitacs Accelerate Intern
    Mitacs
    Winnipeg, Mb, Ca
  • University Of Manitoba
    Graduate Teaching Assistant
    University Of Manitoba Sep 2024 - Present
    Winnipeg, Manitoba, Canada
    ECE 4450 - Applied Computational Intelligence
  • University Of Manitoba
    Graduate Research Assistant
    University Of Manitoba Jun 2023 - Present
    Winnipeg, Manitoba, Canada
    MAMBA Lab - Focused on Machine Learning for Software Engineering.My primary focus is on leveraging machine learning for software engineering tasks, especially generative models.Supervisor: Dr. Shaowei Wang
  • University Of Manitoba
    Computer Science Grader
    University Of Manitoba May 2023 - Present
    Winnipeg, Manitoba, Canada
    Summer 2023:- COMP 3350 - Software Engineering 1Fall 2023:- COMP 4350 - Software Engineering 2- COMP 4050 - Project ManagementWinter 2024:- COMP 3350 Software Engineering 1- COMP 4360 Machine LearningFall 2024:- COMP 4350 - Software Engineering 2
  • Mahsan
    Senior Java Software Engineer
    Mahsan May 2022 - Dec 2022
    Tehran, Tehran, Iran
    The main project I was primarily involved with was a big data project which had to store and process dynamic ontologies, in great amounts (over 1 million transactions per minute, and around 1 petabyte of data). I was responsible for the design, development, and documentation of the landscape architecture of related projects using Microservices Architecture, Plugin (Kernel) Architecture, and Spring Cloud modules. I was also responsible for the development, configuration, and documentation of observability and monitoring features for the whole project (all modules) using Logback, ELK Stack, Prometheus, Grafana, Zipkin, and Spring Cloud Sleuth (now Spring Cloud Distributed Tracing).I also had to review and audit code developed by other team members, and did extensive research on ETL technologies, Big Data, SQL/Distributed SQL/NoSQL/NewSQL Databases, and Event Sourcing Libraries and Frameworks.Lastly, I helped entry-level and junior developers get acquainted with Java and Spring ecosystem, and software engineering subjects, especially software architecture and patterns.I worked with various technologies at Mahsan, but the following are the ones I used on a daily basis:Java (11, 17), Spring Framework (5,6), Spring Boot (2, 3), Spring MVC, Spring Data (JPA, ElasticSearch, Cassandra), Hibernate, Spring Bean Validation, Spring AOP, Spring Cloud Gateway, Spring Cloud Eureka, Spring Cloud Config, Zipkin, Prometheus, Grafana, ELK stack (Elastic Search, Kibana, and Logstash), Docker, Docker-Compose, Kafka, Spring Kafka, Spring Cloud Stream, Axon Framework, H2, YugabuteDB, Maven, Gitlab, Git, Mahsan's Diode Project, JUnit 5, AssertJ, Spring Boot Test, Cucumber (6, 7), Mockito, JFrog, Netflix OSS, Lombok, OpenFeign, SonarQube, Swagger/Open API 3, MapStruct, and Ubuntu.
  • Mahsan
    Instructor
    Mahsan Jun 2022 - Nov 2022
    Tehran, Tehran Province, Iran
    I taught Spring, Spring Cloud, and Microservices Architecture to a team of 7+ developers. (In 30+ Hours)
  • K. N. Toosi University Of Technology
    Undergraduate Research Assistant
    K. N. Toosi University Of Technology Jul 2021 - Jul 2022
    Tehran, Tehran, Iran
    Image Processing, Computer Vision, Machine Learning, and Deep Learning in Python (Tensorflow, Scikit Learn, OpenCV) and Android (Java, Tensorflow Lite, OpenCV)Professor: Dr. Behrooz Nasihatkon
  • K. N. Toosi University Of Technology
    Teaching Assistant
    K. N. Toosi University Of Technology Sep 2021 - Feb 2022
    Tehran, Tehran, Iran
    Database Design - Professor: Dr. Saeed Farzi
  • Tosan Soha
    Software Engineer And Consultant (Java/Kotlin Backend)
    Tosan Soha Nov 2021 - May 2022
    Tehran, Tehran, Iran
    As a software engineer and consultant, I have contributed to the development and maintenance of Tosan Soha's wallet and micro-investment(sequoia) services. I have also done some consulting on refactoring the source codes and improving the landscape architecture of the whole system.I worked with the following tools at Tosan Soha:Java (8, 11, 14), Kotlin 1.6+, Java EE 8, Spring Framework 5, Spring MVC, Spring Webflux, Websocket, STOMP, Spring Boot v2, Spring Retry, Maven, Nexus Repository OSS, MS SQL Server, Spring Data JPA, Hibernate, Redis, Spring Cache Abstraction, Spring AOP, JUnit 5, AssertJ, Mockito, SpringBootTest, Cucumber, Thymeleaf, Html, CSS, JS, JQuery, KendoUI, MapStruct, Dozer, Lombok, Docker, Docker Compose, Spring Security (OAuth 2.0, JWT, Session), Apache CXF, OpenFeign, Tomcat, Swagger 2, Git, and Gitlab.
  • Pinket
    Java Back End Developer
    Pinket May 2021 - Nov 2021
    Tehran, Tehran, Iran
    As a backend web developer at Pinket, I have developed and maintained their chat application, push notification service, and the core shop module. I worked with the following tools at Pinket:Java 8+, Java EE 8, Spring Framework, Spring Boot, Spring MVC, Spring Cloud (Gateway, Eureka), Spring Security, Lombok, Viratech Rest Project, JAX-RS (with Jersey), Spring Data (JPA, Mongo), Hibernate, Flyway, EhCache, Kafka, JMS, Quartz Scheduler, MinIO, Firebase Push Notification, Postgresql, MongoDB, JUnit 4/5, Mockito, SpringBootTest, Gradle, Git, Gitlab, Docker, Docker-Compose, Nginx, Debian Linux, Elastic Search, RudderStack, OpenFeign, Nexus Repository OSS, Sentry, NodeJS, NPM, Yarn and JS/TS, Swagger/Open API 3.
  • K. N. Toosi University Of Technology
    Head Teaching Assistant
    K. N. Toosi University Of Technology Feb 2021 - Jul 2021
    Tehran, Tehran, Iran
    Algorithm Design - Professor: Dr. Ali AhmadiOperating Systems - Professor: Dr. Hamed Khanmirza
  • Mapsa Hr & Training
    Instructor
    Mapsa Hr & Training Jan 2020 - May 2021
    Tehran Province, Iran
    I have taught various items in the boot camps held by Mapsa including Java Core, Data Structures, Object-Oriented Programming & Design, UML, SQL, JDBC, Java Reflection, Socket Programming, Concurrent Programming, Internationalization, Maven, MVC Architecture, Design Patterns, Internet & Network Fundamentals, HTML & CSS, Thymeleaf, Spring Boot, Spring MVC, Spring Data(MongoDB, JPA), Hibernate, Spring Security, Spring Cloud, Spring Cloud Security, Restful APIs, Docker, Service-Oriented Architecture (SOA), Microservices Architecture (MSA), and Aspect-Oriented Programming (Spring AOP).
  • K. N. Toosi University Of Technology
    Head Teaching Assistant
    K. N. Toosi University Of Technology Oct 2019 - Jul 2020
    Tehran Province, Iran
    Advanced Programming in Java - Professor: M. Zamanian
  • Mapsa Hr & Training
    Intern
    Mapsa Hr & Training Jun 2019 - Sep 2019
    Tehran Province, Iran
    I learned how to develop enterprise Java-Based applications besides Fundamentals of Software Engineering and Agile Development.

Seyed Shayan D. Education Details

Frequently Asked Questions about Seyed Shayan D.

What company does Seyed Shayan D. work for?

Seyed Shayan D. works for Mitacs

What is Seyed Shayan D.'s role at the current company?

Seyed Shayan D.'s current role is Mitacs Accelerate Intern.

What schools did Seyed Shayan D. attend?

Seyed Shayan D. attended University Of Manitoba, K. N. Toosi University Of Technology, Allameh Helli.

Who are Seyed Shayan D.'s colleagues?

Seyed Shayan D.'s colleagues are Bernard Duval, Joseph Santarelli, Seb Kaltb, Janet Su, Víctor Mercado, Katriona Kelly, Nahid Azizi.

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