Architected and develop scalable back-end systems, delivering optimized database-driven applications and ensuring high system performance.Led a team of developers in creating a real-time analytics platform, using machine learning models for predictive insights.Collaborated cross-functionally with data science, product, and UX teams to deliver features aligned with business goals.Integrated CI/CD pipelines and DevOps practices to streamline deployment and improve code reliability and maintainability.

Developed and deployed machine learning models to analyze consumer behavior, resulting in a 20% improvement in consumer satisfaction.Utilized natural language processing to automate data extraction from unstructured sources, enhancing data processing speed.Worked with the data engineering team to create ETL pipelines, improving data quality and accessibility for analytics.Designed and implemented A/B testing frameworks to assess model performance and optimize algorithm effectiveness.

Built user-centric front-end and back-end solutions for web applications, leveraging React and Node.js to improve user experience.Managed database integrations and optimizations, enhancing performance and scalability.Developed RESTful APIs and microservices architecture, enabling seamless interaction between front-end and back-end services.Mentored junior developers, providing guidance on coding best practices and software development processes.

Analyzed and documented system requirements, collaborating with stakeholders to ensure alignment with business needs.Provided software support and troubleshooting, resolving technical issues for enterprise applications.Conducted data analysis and created reports that provided actionable insights, informing system upgrades and feature additions.Facilitated cross-departmental communication, enhancing project visibility and stakeholder satisfaction.