• Developed RESTful APIs to streamline data exchange between services, enhancing integration efficiency• Wrote technical design decision documents and contributed to SDK documentation, that is used by hundreds of clients• Automated billing process for small businesses and implemented pay-as-you-go pricing model for individuals to utilize CopyAI• Implemented GraphQL both on backend and frontend to optimize data retrieval, reducing network requests by 30% and improving performance significantly on mobile devices and tablets• Utilized Playwright for end-to-end testing, improving test coverage and reliability• Built and deployed machine learning models using FastAPI, reducing response times by 30% in production environments• Enhanced data visualization capabilities by developing data-driven dashboards, improving decision-making speed by 35%• Integrated caching mechanisms using Redis, enhancing system performance and reducing latency by 20%• Reduced application build times by 25% through efficient use of TypeScript and frontend tooling configuration• Implemented CI/CD pipelines with Jenkins, increasing deployment efficiency by 40%• Collaborated with UX designers to improve user interfaces and user experience by introducing UX best practices• Mentored junior developers, fostering a collaborative environment and improving team productivity• Conducted code reviews and implemented best practices, reducing bugs in production by 30%

• Designed and architected microservices architecture to enhance system scalability and maintainability• Led the transition to a microservices architecture using graceful upgrade strategies like blue-green deployment, improving deployment flexibility and system scalability while minimizing risks• Developed a centralized logging system to streamline troubleshooting and improve system monitoring• Automated data backup and recovery processes, ensuring data integrity and minimizing downtime• Built data lake architecture to support large-scale data ingestion and processing• Improved system interoperability by designing robust RESTful APIs, concerning developer experience and code quality• Implemented data encryption and security protocols, ensuring compliance with industry standards and reducing vulnerabilities• Enhanced database query efficiency, resulting in a 25% reduction in data retrieval times• Optimized data pipelines with Apache Spark and Pandas, reducing data processing time by 40% for analytics insights• Implemented MLOps practices, reducing machine learning model deployment time by 80% through automation with Docker and Kubernetes, utilizing both on-prem devices and cloud services• Coordinated with data scientists to deploy AI solutions on AWS, leading to a 20% increase in computational efficiency• Migrated legacy systems to cloud services, achieving a 99.9% uptime and reducing costs by 15%• Automated testing and deployment processes using CI/CD pipelines, improving release frequency by 50%