Hi, I'm Satyam Kr Mishra

Traditional banking systems struggle with scalability, deployment complexity, and service reliability, making it difficult to deliver cloud-native digital banking experiences with minimal downtime.

Built a cloud-native microservices architecture with 4+ independent services (Accounts, Cards, Loans, Messaging) using Spring Cloud for configuration management, Docker/Kubernetes for containerization, and Kafka for asynchronous messaging.

• Implemented Spring Cloud Config Server achieving 90% reduction in deployment configuration errors
• Containerized services with Docker and orchestrated via Kubernetes, reducing downtime by 70%
• Integrated Kafka for asynchronous inter-service communication and event-driven workflows
• Built comprehensive health checks and monitoring dashboards enabling 60% faster issue resolution

Emergency services lacked a unified platform for citizens to report incidents and for responders to be assigned efficiently, resulting in delayed response times and poor coordination between services.

Developed a microservices-based emergency response platform with Keycloak for secure authentication, Apache Kafka for event-driven communication, and automated responder allocation based on availability and proximity.

• Implemented secure role-based access control (citizen, responder, admin) with Keycloak integration
• Built event-driven Alert Service publishing emergency events to Kafka for decoupled communication
• Designed automated responder allocation with status lifecycle management (Available → Assigned → Dispatched)
• Created Notification Service for automated email alerts on responder assignment and dispatch
• Integrating Google Maps API for real-time incident visualization and responder proximity tracking

Users struggle to manage medical prescriptions scattered across PDFs and images, leading to missed doses, delayed refills, and poor medication adherence due to lack of timely reminders and organization.

Built an intelligent medicine management system using OCR-based prescription parsing, backend scheduling for dose reminders, stock-based refill prediction, and secure cloud storage for medical documents with structured metadata

• Automated medicine end-date calculation and refill prediction
• Reduced missed-dose probability using time-based and escalation reminders
• Enabled smart refill detection and automatic schedule recalculation
• Built scalable reminder workflows with user acknowledgment tracking
• Delivered clean, human-centric dashboard for real-time health visibility
• Implemented secure cloud storage for medical documents with structured metadata