Senior Full-Stack Engineer with 8+ years building, scaling and maintaining production-grade web applications. Core expertise in Ruby on
Rails systems, modern JavaScript frameworks (React, Next.js, Ember, Hotwire) and cloud-native architectures on AWS, on products
where performance, scalability, maintainability and clean code are non-negotiable. Strong track record in Rails performance and
reliability work, including N+1 and query optimization, indexing and caching strategy, background job architecture, memory profiling,
and major Rails/Ruby version upgrades, with methodical root-cause analysis in ambiguous, time-sensitive production incidents.
AWS Certified (Cloud Practitioner & AI Practitioner), with an expanding focus on Data Science and Machine Learning: applies Python,
pandas and Jupyter-based analytical workflows to build data-driven features, predictive models and LLM-powered capabilities inside
Ruby on Rails products, always tied to real business impact. Beyond hands-on development, brings experience leading teams,
collaborating across disciplines and contributing to software architecture decisions, and speaks periodically at talks and conferences on
Artificial Intelligence, introductory Data Science and Ruby. Values clarity over complexity, continuous learning, and collaborative
environments where sound engineering decisions genuinely matter
