• Designed and developed AI-enabled software components and ML pipelines using Python and AWS, delivering real-time analytics and decision support across systems processing over one million events per day.

• Built and maintained scalable backend services and RESTful APIs using Java/Spring Boot and relational databases (PostgreSQL/RDBMS), reducing request latency by 30% and improving system availability for mission-critical workflows.

• Developed high-performance backend services using C# and Golang, applying efficient concurrency and memory management techniques to improve overall system throughput by 25% in large-scale enterprise applications.

• Developed and supported responsive web applications using JavaScript, React, and Next.js, improving user experience and page load performance by 35% across internal business workflows.

• Created interactive analytics dashboards and reporting solutions using BigQuery, React, and Chart.js, enabling real-time operational insights, KPI tracking, and automated data refresh for business and engineering stakeholders.

• Integrated and deployed AI/ML and LLM-based workflows using TensorFlow models and AWS Bedrock, improving inference efficiency by 30% while meeting enterprise cost and reliability requirements.

• Designed and supported CI/CD pipelines and containerized deployments using AWS and Azure, enabling automated testing, consistent releases, and zero-downtime software delivery in regulated environments.

• Improved overall code quality and reliability by expanding unit and integration test coverage by 20%, while actively participating in code reviews and promoting software engineering best practices.

• Designed and developed scalable backend services using Java and Kotlin, supporting high-availability enterprise applications and improving system performance and maintainability across distributed environments.

• Built responsive, high-performance frontend applications using React.js, Tailwind CSS, and Redux, optimizing component rendering and state management to increase user engagement by 25%.

• Designed and implemented high-performance RESTful APIs and third-party integrations, optimizing service communication and reducing API latency by 35% across distributed systems.

• Implemented secure authentication and authorization frameworks using OAuth 2.0, JWT, and Spring Security, strengthening application security posture and reducing potential vulnerabilities.

• Developed and maintained GraphQL APIs using Python, enabling efficient data querying across services and improving developer productivity and API performance.

• Built CI/CD pipelines using Docker and Kubernetes, enabling automated testing, containerized deployments, and zero-downtime releases while reducing manual deployment effort by 25%.

• Optimized database performance across PostgreSQL, MySQL, and MongoDB by implementing indexing, caching, and query optimization strategies, improving query performance by 35%.

• Implemented real-time data streaming pipelines using Apache Kafka, enabling high-throughput, low-latency event processing and improving reliability of distributed applications.