Personal details
Ghasem S.
Technical skills
About
With 8 years of experience in software engineering, I've worked in online markets, telecommunication and education industries, with different programming languages like Python, C# and Javascript. I've always found my way through different problems like how to create a CI/CD pipeline using Jenkins CI and automated deployment on a Kubernetes cluster on AWS, or how to create a recommendation service for an online market.
Work Experience
I’m using Python, FastAPI, Flask, RabbitMQ, Kubernetes,… to design a service (based on microservice architecture) which helps other teams to measure their data quality on different platforms.
Responsibilities:
- Cooperate with other teammates to create and extend the existing microservice architecture
- Writing unit tests and improve the code coverage of the services
- Onboard new platforms in our data quality measuring service
Accomplishments:
- Implemented CI/CD pipeline using Jenkins CI, Bitbucket and helm charts in all microservices to speed up the testing and deployment process
- Developed an API Gateway to centralize the Restful APIs from all the microservices and authenticate users using Azure AD
- Added authorization methods to the service by designing roles, permissions and groups for users
Basalam was a fast scaling startup about social networks for business in which I needed to learn a new technology every week. I developed backend services using Python, worked with data and sometimes developed web applications by React/Redux.
Some of responsibilities:
- Research optimal solutions and find the best way to implement the codes.
- work closely in a cross-functional team to create great user experiences.
- Onboard and mentor junior developers
- Writing unit tests and improve the code coverage of all the services
- Mentoring the Interns to help them improve their programming skills with Python
Accomplishments:
- Established a session reconstruction service to get user log info from Elasticsearch and postgresql database and create sessions and log reports for marketing section
- Implemented an AI service to recommend specific products which are more interesting to specific users using Python, MongoDB and Redis
- Optimized marketing and analyzing teams work by 30% by creating a twitter tweetDeck-like web application called BasalamDeck to search in posts and comments with special filters and check latest posts.
- Improved the performance of application, by profiling the code and improve the code