Andrius Senulis

I architect and build robust, scalable software solutions that power AI platforms and distributed systems, with over 12 years of engineering experience spanning AI platform engineering and cybersecurity. At DataRobot, I contributed to implementation of critical ML prediction features, including the Serverless Predictions feature that optimizes resource usage while maintaining performance. I've successfully guided 3+ projects from concept to customer rollout as a technical lead, mentoring engineers and driving cross-team initiatives. What I bring to teams: I excel at written and verbal communication and collaborate effectively with technical and non-technical teams. I'm detail-oriented and thorough in my approach to problem-solving, code quality, and system design. I demonstrate a continuous learning mindset, stay current with emerging technologies including AI-powered coding tools, and prioritize delivering high-quality, scalable solutions. I'm a strong team player with a positive, collaborative working style and a passion for driving technical excellence and innovation. SKILLS SUMMARY: - Technical Leadership: Led 3+ projects as technical lead, mentored new engineers, and guided cross-team initiatives - Programming: Python (12+ years), Go, Flask, REST APIs, gRPC, Protobuf, PostgreSQL, MongoDB - Cloud & Infrastructure: AWS (RDS, ElastiCache), Kubernetes, Docker, Helm, Terraform - Development Practices: Technical specifications, code reviews, testing (unit/integration/functional), CI/CD - AI Coding Tools: GitHub Copilot, Cursor, Claude, ChatGPT, Warp terminal I specialize in designing loosely coupled microservice architectures, implementing high-throughput prediction systems, and creating seamless platform integrations. My background includes a Master's degree in Bioinformatics from the University of Copenhagen. I'm passionate about architecting elegant solutions to complex problems, mentoring developers, and building software that delivers measurable business value.