Personal details
Aleksandr M.
Technical skills
About
Seasoned Lead Software Development Engineer with over 12 years of commercial experience. My expertise spans developing and scaling web, desktop, and mobile applications within distributed systems, employing microservices architecture, leveraging event-driven and big data technologies across key cloud platforms. Proficient in a wide array of technologies including Java, Python, JavaScript, Go, and Scala, I am driven by a dedication to solving complex problems through strategic innovation and resilient technology design, rather than coding alone. My approach emphasizes the automation of processes and proactive development, underscored by a commitment to DevOps practices and continuous improvement. I also bring experience in team leadership, having managed teams and tuned Agile processes in a way that complements my technical contributions. My background includes interfacing with clients, prioritizing tasks, and designing requirements-driven systems from the ground up, with a keen ability to apply design patterns effectively to overcome challenges.
Work Experience
Pricing - a web application that enables firms to maximize profitability with smart scoping, pricing, and visibility across the engagement. The product uses microservices architecture, proprietary AI technology, big data tools, different development stacks, and Agile practices.
Responsibilities:
- Designed several micro-services systems with ETL, big data, and AI purposes;
- Adjusted existing systems to reduce latency and increase throughput;
- Developed, evolved, and consulted various integrations with other products and infrastructure tools;
- Developed and supported ML pipelines to enhance UX and boost core application features;
- Initiated and implemented internal tools for development, infrastructure, and project management;
- Identified, prioritized, and executed tasks in the Software Development Life Cycle.
Reddit ADS - ads supplier for âfront page of the Internetâ with 52M daily active users. Product provides targeted per user ad posts with low latency and in huge volumes. Supports different strategies to target users and ability to run multiple experiments for new strategies.
Responsibilities:
- Handled various aspects of integration with the 3d party provider of user audiences;
- Worked on adoption of new way to categorize users;
- Speeded up the Spark applications with reducing amount of consumed resources;
- Enhanced Airflow to k8s integration;
- Improved tests coverage for Spark and Airflow code;
- Refactored code base to simplify maintenance;
- Configured monitoring and alerting.