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Alexander Pushkarev

Senior Software Engineer (Python/Java/Cloud)
Client-Focused Full-Stack Engineer with 10+ years of experience building scalable systems, optimizing cloud infrastructure, and leading engineering teams.

Passionate about AI/ML integration, LLM applications, and data pipeline automation, with a track record of delivering robust solutions in fast-paced environments.

Strong mentor with a focus on Cloud-Native development and data-driven architectures.


🛠️ Key Skills

Languages: Python (Flask, Pandas, PyTorch/TensorFlow), Java (Spring), TypeScript (React)

Cloud & DevOps: GCP, Azure, AWS, Terraform, CI/CD (Jenkins, Azure DevOps)

Data Engineering: ETL, BigQuery, LLM integration, Prompt Engineering, Prometheus

Methodologies: TDD, Clean Architecture, Agile/Scrum


💼 Professional Experience

Roku | Cambridge, UK | Oct 2024 – Present

Senior Software Engineer

  • Led development of a greenfield Python REST service and SDK for image comparison and cognition, powering internal verification tools.
  • Delivered AI-powered proof of concept using LLMs and local vision models, exploring product applications for automated content analysis.
  • Coordinated work of 2 external contractors and collaborated with multiple stakeholders, ensuring technical alignment and timely delivery.
  • Championed and built Roku’s internal Knowledge Centre for Image Verification, promoting cross-team reuse and reducing onboarding friction.

TripAdvisor | London, UK | May 2022 – Oct 2024

Senior Software Engineer

  • Developed production-ready, client-facing services using Java, TypeScript (React), GraphQL, and microservice architecture.
  • Led key feature development to improve TripAdvisor’s SEO positioning, resulting in measurable increases in organic 6F73 traffic and revenue.
  • Coordinated multi-team collaboration and rollout orchestration, ensuring seamless delivery across infrastructure, frontend, and backend services.
  • Owned feature lifecycles end-to-end: from design and implementation to staged rollout and production support.

Codurance | London, UK | May 2021 – May 2022

Senior Software Craftsperson (Consultant)

  • Advised fintech/healthcare clients on TDD, cloud migration (Azure, Terraform).
  • Trained teams in Clean Architecture, BDD.
  • Provided internal and external code review services.

Xilinx | Cambridge, UK | Sep 2019 – Jan 2021

Senior Software Engineer

  • Led development of CI/CD and monitoring tools using Python, Prometheus, and Jenkins.
  • Built the Jenkins Monitoring Service from scratch, improving build visibility and reliability.
  • Delivered engineering productivity enhancements and internal tooling for hardware-software integration.

Toptal (Contractor) | Remote | Apr 2018 – Sep 2019

QA Automation Engineer (DevOps/Data Engineering Focus)

  • Developed ETL and Data Warehouse validation tools using Python, Flask, and BigQuery.
  • Architected and implemented the Data Validator platform, enhancing data reliability.
  • Coached teams on test strategy and automation best practices in distributed environments.

WorkFusion | Minsk, Belarus | Jun 2017 – Apr 2018

Lead QA Automation Engineer

  • Led testability refactors and automation strategy improvements for enterprise products.
  • Designed and built the Test Balancer Service using Java and Spring, improving test efficiency.
  • Mentored team members in modern test automation and continuous integration.

EPAM Systems (Various Clients) | Minsk, Belarus | Aug 2010 – Jun 2017

Lead Test Automation Engineer / Internal Trainer / SDET

  • Acted as Tech Lead on multiple client projects including Expedia, Travix, and MeteoGroup.
  • Built and maintained test automation frameworks using Java, Spring, Selenium, and .NET.
  • Trained junior engineers, improved test architecture, and delivered quality tooling in domains like travel, weather, and finance.

🎓 Education

Master’s in Computer Science (Big Data Analytics) — Glyndŵr University | 2020–2024
Master’s in Human Resources Management — Belarusian State University | 2014–2016


🔬 Technical Interests

  • Cloud-native architectures (GCP/Azure)
  • Applied AI/ML in production systems
  • Developer productivity tools

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