Senior Software Engineer - Cybertone Inc
- Optimized caching with Redis and improved real-time data exchange using a custom socket library, reducing application downtime from 5 seconds to 1 second in the patient management system, which boosted responsiveness and user experience.
- Built a HIPAA-compliant patient management system with Python and FastAPI, implementing secure data protocols that led to a 40% increase in registration efficiency and a 30% reduction in appointment scheduling time.
- Led a UI/UX redesign for web and mobile apps using React, React Native, and Tailwind CSS, resulting in a 30% increase in user engagement and a more intuitive interface, reducing friction and improving retention.
- Enhanced database performance by deploying optimized DataMarts with SQL Server, reducing report generation time by 30 seconds on average, enabling faster insights and improved decision-making.
- Championed DevOps best practices by automating CI/CD pipelines with Azure DevOps, streamlining workflows, reducing manual intervention, and improving deployment reliability, speeding up release cycles by 25%.
- Developed scalable microservices architectures with Node.js, FastAPI, and Docker, ensuring maintainability and high availability, while containerization and Kubernetes improved resource use and deployment.
- Integrated third-party APIs and payment gateways for smooth transaction processing, developing middleware for authentication and security compliance, which improved user experience and system integrity.
- Drove architectural improvements using Kafka and RabbitMQ for event-driven systems, enabling asynchronous data processing and real-time analytics across distributed services.
- Implemented AI-driven solutions using OpenAI's GPT models to enhance automation, customer support, and content generation, increasing operational efficiency and user engagement.
- Built intelligent chatbots and virtual assistants using OpenAI APIs, improving customer interactions and reducing response times by 40%.
- Developed AI-powered recommendation systems that personalized user experiences, leading to a 25% increase in retention and engagement.
- Implemented monitoring with Prometheus, Grafana, and the ELK Stack, enhancing observability, detecting performance bottlenecks, and reducing downtime through faster incident resolution.