Engineering Leader | Backend Specialist | Building Scalable Teams & Platforms | Ruby on Rails, Golang, Python, AWS | Abu Dhabi/Remote
Engineering leader with 14 years of experience architecting and scaling backend platforms, Polyglot with projects in Ruby, Python and Golang and deep specialization in Ruby on Rails. Background spans scientific programming, foodtech, sports tech, and healthtech. Currently leads backend engineering at Ultrahuman, a metabolic health platform that processes millions of health data points daily from more than 200,000+ wearables to deliver real-time insights for users across 130 countries.
Joined as one of the first backend engineers, played crucial role in building the platform from scratch, and now manages a team of 15+ engineers, driving rapid feature development, system upgrades, and integration of machine learning services. Systems now handle 90,000+ requests per minute while processing 120GB+ of data daily and maintaining Apdex scores above 98%.
Work includes building core health features, order management systems, and internal tools for operations and support teams, as well as integrating with LLM APIs for analytics and smart features. Led multiple performance and cost optimization initiatives and implemented engineering best practices including Karate smoke tests, PR checklists, Dockerized multi-database test setups, and exhaustive benchmarking experiments for technology choices.
Previously at Zomato, served as part of the platform team working on major initiatives, including database migrations, carving out microservices, and high-concurrency backend systems supporting 150,000 delivery partners at scale.
Technical toolkit centers on Ruby on Rails, but also includes Golang, Python, AWS, and a range of modern databases and infrastructure tools. Holds postgraduate degree in Electrical Engineering from IIT Madras. Having worked in India, Qatar, and now Abu Dhabi, brings regional experience and practical, hands-on approach to engineering leadership.
Actively leverages and advocates for modern AI-powered tools such as Cursor and Perplexity Research to enhance productivity, streamline research, and support engineering decision-making. Always interested in connecting with others working on large-scale engineering challenges or building ambitious tech platforms.
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