Abdulla Achilov
About Abdulla Achilov
Abdulla Achilov is a Technical Lead with expertise in Ruby on Rails, MongoDB, and Elastic Search. He has a proven track record of optimizing systems and leading engineering initiatives that enhance project efficiency and customer engagement.
Work at Apollo.io
Abdulla Achilov serves as a Technical Lead at Apollo.io, where he has been employed since 2022. In this role, he focuses on Ruby on Rails, MongoDB, Elastic Search, and Sidekiq technologies. He has crafted a comprehensive Engineering Roadmap that has streamlined project planning and execution, reducing cycle times from concept to engineering to just two weeks. Achilov leads weekly meetings utilizing MVP principles to prioritize deliverables, ensuring timely product iterations and maximizing customer feedback opportunities. His strategic development of key features has resulted in a 60% increase in customer adoption and has directly contributed to sales growth.
Previous Experience
Prior to his current role, Abdulla Achilov worked at several organizations. He was a Ruby on Rails Back-end Developer at key24.ee Real Estate / Kinnisvara Portal Estonia from 2018 to 2020. He also served as a BackEnd Ruby on Rails developer at ClosedWon for 10 months in 2019. Additionally, he worked as a Senior Engineer at WeSpire from 2020 to 2022, focusing on Ruby on Rails and CI/CD DevOps. Since 2020, he has been a Senior Software Engineer at Toptal, specializing in back-end development.
Education and Expertise
Abdulla Achilov studied at the Moscow Technical University of Communications and Informatics (MTUCI) from 2009 to 2014, where he earned a Specialist degree in Computer Programming. His educational background provides a strong foundation for his technical expertise in Ruby on Rails, MongoDB, Elastic Search, and Sidekiq. Achilov's experience in database optimization and system refactoring has led to significant improvements in operational efficiency and user interaction times.
Achievements in System Optimization
At Apollo.io, Abdulla Achilov utilized NewRelic metrics to investigate and refactor systems, which resulted in a reduction of user interaction times by 40 seconds and saved over 17 hours of customer time daily. He also pioneered database optimization efforts that achieved a 12% reduction in operational costs by refining query efficiency and resource utilization. These initiatives demonstrate his commitment to enhancing system performance and user experience.