Navid Kalaei

* Scrapped, cleaned, and unified energy data from nine North American energy providers with Python, BeautifulSoup, and lxml. It was a massive success because the company could launch a product based on that. * Parsed and structured the wrangled data with Pandas and NumPy to prevent faults in data sinks. * Provided a backend with Flask to serve the cleaned data into the pipeline. * Integrated and visualized the source data with Grafana to give clients an insight.

* Broke down the project into Scrum sprints, estimated, and measured the tickets in terms of story points. With this policy we could satisfy our promises to the customers. * Refactored the Python Django templates into maintainable and extendable React components. Then applied the rendering policies to the web pages with Next.js. * Developed various multilingual pages and scenarios including custom flow of authentication, private areas, multi-step forms, stateful components, and reusable layouts.

* Developed a high-performance RPC server exported the metrics in Golang and Prometheus. * Collected and analyzed time-series measurements of devices with InfluxDB. * Redesigned the RPC server to be able to serve one million socket connections with the benefits of ePolling. * Integrated a stream processor for the time-series stream processing with Kafka and Faust. * Deployed a high-available financial project to keep track of simulated asset trading strategies for validating a trade platform with Python.