Siroos – Kubernetes, AWS, Terraform

An insurance broker based in Vancouver, It offers home insurance quotes based on the data provided by third parties, users, and the rating system that they have. I helped the team to create the core rating system features with Python and developed multiple services and dashboards for agents and insurance agencies.

• Implemented the Core Rating System to generate home insurance quotes using pure Python;
• Mentored and managed 2 junior backend developers and reviewed tasks written in Python;
• Increased the scalability of the system using AWS EFS to manage storage;
• Decreased infrastructure update time by 500% through building automation of infrastructure using Terraform;
• Boosted the deployment process by implementing CI pipeline using Gitlab and CD using ArgoCD, which improved the pipeline speed by 10%;
• Reduced infrastructure costs by 30% through deploying products in environments on Kubernetes;
• Created CDN by using AWS Cloudfront and Cloudflare resulted in reducing response time by 50%;
• Communicated with 3 business partners in regular meetings for +9 months;
• Advised business team based on the data gathered from +1000 users;
• Persuaded integration with 2 third-party services for payment systems.

ML/AI competition platform similar to Kaggle and AiCrowd, Siroos was part of the core team that designed the infrastructure and architecture. He also developed some core services and managed Kubernetes clusters.

• Led a team of 10 developers and verified codes written in Python and Golang;
• Succeeded in the development of a Kubernetes controller to check the state +5 of the services;
• Introduced Event Driven Architecture to design the system with +10 services;
• Completed the deployment of 3 Kubernetes Clusters over 5 nodes;
• Accelerated scaling by implementing an auto scale-up and scale-down system;
• Simplified the work-flow by Implementing pipelines to ease handling GitLab for AI developers;
• Guided and trained 2 SRE interns to learn Kubernetes and docker basics;
• Consolidated server configuration by writing 4 automation scripts using Ansible;
• Modified the access to the data of each service through sharing drives between nodes.

A trading platform that connects to more than +20 crypto exchanges and +3 brokers for stock market trading. It lets all traders use Python to create algorithms for trading.

• Developed 3 products using microservices architecture to achieve business needs;
• Redesigned core services to increase the performance by 25% by incorporating +100 algorithms;
• Improved the average response time of an API by 80% by adding caching layer using Redis;
• Integrated the trading system with +20 crypto exchanges, a foreign stock broker, and a domestic stock broker;
• Built a data gathering system using AsyncIO and Multiprocessing to gather data from +20 crypto exchange.

A flight booking and hotel booking B2B system. More than 150 agencies were connected to it.

• Partnered 5 additional airlines and 2 foreign Hotels provider to the system by connecting to third-party APIs;
• Finished the development of a flight booking system used by +150 travel agencies;
• Completed a RESTful web service resulted in an increase of 5% in performance.