San Francisco, CA, US
Summary
Led the development of scalable backend services and spearheaded the integration of AI-powered features, while mentoring a team of junior engineers to deliver high-impact solutions.
Highlights
Architected and optimized critical backend services (Python, Java), enhancing system performance by 15% and improving data processing efficiency for 10M+ users.
Spearheaded the end-to-end development and successful launch of an AI-powered recommendation engine, increasing user engagement by 20% within the first six months.
Mentored and guided a team of 3 junior software engineers, fostering skill development and ensuring timely project delivery for key initiatives.
Collaborated cross-functionally with product and data science teams to define technical requirements and integrate machine learning models into core product functionalities.
Implemented robust CI/CD pipelines and automated testing frameworks, reducing deployment cycles by 25% and improving code quality across multiple repositories.