Alexander E. Email & Phone Number

New York, US

San Francisco, CA, US

• Led an engineering-wide initiative to optimize AWS infrastructure, reducing annual cloud costs by over $216k.
• Migrated all engineers to Single Sign-On, enhancing security and streamlining access management.
• Migrated the main database from Postgres to Amazon Aurora, reducing replica lag from minutes to under 40 ms and enabling scalable read operations.
• Led a newly formed team to launch the company's first product in the NFT space, driving innovation in a new market segment.
• Provided cross-team technical consultation.
• Addressed performance bottlenecks and delivered page speed optimizations to improve the customer experience.

San Francisco, CA, US

San Francisco, CA, US

• Designed and implemented a scalable serverless ETL pipeline capable of processing over 1 TB of data daily.
• Architected and developed an end-to-end machine learning pipeline using AWS Step Functions, Spark, Lambda, and S3, automating model training and deployment.
• Defined the company’s technological foundation by selecting core technologies, services, and development processes, enabling consistent and scalable software delivery.
• Collaborated closely with data scientists to optimize and productionize machine learning models
• Led interviews for engineering and data scientist roles, playing a key role in team expansion.
• Mentored junior engineers, fostering their professional growth and ensuring successful project delivery.

San Mateo, California, US

• Led a team of 3 data scientists. Ran stand-ups, sprint planning, retro meetings for the team.
• Automated ML model building to scale the company’s needs from dozens of models trained manually to hundreds of models trained regularly.
• Built various ML models using deep learning and NLP such as a section detection model using seq2seq architecture and a similarity model using universal sentence encoder.
• Collaborated with product owners to transform customer needs into actionable insights.

Seattle, WA, US

• Making Alexa smarter in the books domain.
• Built 2 Kindle features for eInk platform: Pinyin and Native Hints for Wordwise.
• Conducted a series of machine learning experiments to build ML models for word sense disambiguation applied in Word Wise on a daily basis.
• Built in a group of 3 engineers a closed-loop machine learning pipeline with low maintenance reducing human operators from double digits to 2 people.

Seattle, WA, US

• Built an ML-based performance optimisation system to deliver eCommerce ads.

München, DE

• Developed a new version of the dating platform (be2.com) which significantly drove subscription sales on the website.

DE

• Developed a promotional backend service to deliver banners and news for mobile games which improvedcross-app conversion rate across company's products.

Moscow, RU

• Designed and developed a new version of authentication service,which dealt with sensitive user data and required 99.99% uptime.
• Developed an internal service with unified API for getting data from socialnetworks.
• Implemented a service for authenticating users through various social networks usingdifferent protocols (OAuth 1.0, OAuth 2.0)