Hi, I'm Surya TejaPython Developer • AI / ML • GenAI Engineer

Los Angeles, CA, USA

Working on enterprise-scale healthcare insurance platforms, leading the development of secure, cloud-native, microservices-based systems to support member management, claims processing, and provider-facing applications with high availability and regulatory compliance.

• ▸Designed and developed Angular-based user interfaces with responsive design, role-based behavior, and strong UI/UX consistency for insurance operations platforms
• ▸Designed and developed backend services using Python and FastAPI to implement core business logic for eligibility, claims, and member workflows
• ▸Built secure, versioned RESTful APIs with request validation, structured error handling, centralized logging, and asynchronous processing for high-concurrency services
• ▸Designed and optimized PostgreSQL database schemas to ensure ACID-compliant transactions, data integrity, and performance at scale
• ▸Built and managed scalable AWS infrastructure using EC2, RDS, S3, IAM, and CloudWatch to support highly available cloud-native applications
• ▸Containerized services using Docker, orchestrated deployments with Kubernetes, and automated CI/CD pipelines to enable reliable, zero-downtime releases

Los Angeles, CA, USA

Worked on enterprise-scale digital banking platforms, designing cloud-native, microservices-based backend systems to support secure, real-time financial transactions with high availability, scalability, and regulatory compliance.

• ▸Led backend architecture and development using Python and FastAPI, building high-performance asynchronous services for real-time, high-concurrency financial workloads
• ▸Designed and implemented secure, versioned RESTful APIs with strong validation, centralized logging, and structured error handling for enterprise integrations
• ▸Engineered and optimized PostgreSQL database schemas to ensure ACID-compliant transactions and high-performance processing for financial systems
• ▸Designed event-driven microservices architectures using Apache Kafka to support transaction notifications, fraud detection, and reconciliation workflows
• ▸Built and managed scalable AWS cloud infrastructure using EC2, RDS, S3, API Gateway, IAM, and CloudWatch to ensure reliability and fault tolerance
• ▸Containerized services with Docker and orchestrated deployments using Kubernetes and GitLab CI/CD to enable automated, zero-downtime releases

Framingham, MA, USA

Designed and enhanced retail and inventory management platforms supporting order tracking and store-level operations, focusing on scalability, performance, and high availability during peak retail traffic.

• ▸Designed and developed responsive, user-friendly interfaces using HTML5, CSS3, and Bootstrap for internal retail and inventory management workflows
• ▸Enhanced backend reliability by implementing structured error handling, request validation, and logging to stabilize high-traffic order and inventory workflows
• ▸Developed backend services using Flask to support order tracking, inventory synchronization, and store-level operations
• ▸Designed and implemented scalable RESTful APIs to integrate store systems, warehouses, and external logistics providers
• ▸Modeled and optimized MongoDB data schemas to improve data consistency, performance, and availability across retail locations
• ▸Deployed and containerized applications on AWS using Docker and Nginx to ensure scalable, reliable, and production-ready deployments

Hyderabad, India

Designed and developed scalable backend services for customer onboarding and profile management systems, focusing on secure RESTful APIs, data-driven workflows, and cloud-integrated solutions while following enterprise engineering standards.

• ▸Designed, developed, and optimized backend services using Python, Django, and Django REST Framework for customer onboarding and profile management workflows
• ▸Built and maintained secure RESTful APIs with robust input validation and documentation using Swagger and Postman
• ▸Implemented JWT-based authentication and role-based access control (RBAC) to protect sensitive customer data
• ▸Designed and optimized MySQL database schemas to improve query performance, data integrity, and transactional consistency
• ▸Integrated AWS S3 for secure document storage and retrieval in onboarding workflows
• ▸Supported machine learning–based validation workflows using TensorFlow and Scikit-Learn to improve data quality
• ▸Collaborated with senior engineers, QA teams, and business stakeholders to deliver secure, production-ready features