Alexandru Vlad

Design, develop, and maintain scalable, multithreaded scraping and crawling services in Python. Improve throughput, resiliency, and performance of scraping infrastructure, including proxy management and fault tolerance.

Design and deploy efficient, scalable web crawlers and data pipelines. Customize spiders, middleware, and pipelines to meet diverse project requirements.

Develop and maintain Scrapy-based web spiders to extract web data. Work with QA team to ensure data quality and develop data pipelines to validate, filter, transform, and deliver data.

Developed applications hosted on Azure Cloud using Python. Created pipelines and backlogs for CD/CI process on Azure DevOps and implemented financial calculations for AXA Investment Managers.

Worked with data parsing software to extract information from hundreds of used car dealers websites. Participated in development cycle including feature design, testing, code reviews, and maintenance.

Bachelor's degree project on automatic lane detection system for autonomous car guidance, involving machine learning and deep neural networks for lane boundary detection in traffic video streams.

Completed the Introduction to Programming Using Python certification.