Teshwani

Designed scalable applications using Java 8–17, Spring Boot, and Python (Flask, FastAPI), delivered high-throughput REST and GraphQL APIs for healthcare/financial transactions. Re-architected legacy monoliths into microservices, built Python-based analytics and AI pipelines, developed frontend with Angular and React, optimized UI/UX, integrated event-driven architectures, deployed secure cloud platforms on AWS and Azure, automated infrastructure with Terraform, containerized with Docker and Kubernetes, implemented CI/CD pipelines, engineered enterprise-grade authentication, and productionized GenAI solutions.

Design and development of scalable applications using Java 8–17, Spring Boot, and Python for analytics, risk scoring, and AI model inference. Delivered high-throughput financial transaction modules with REST and GraphQL APIs, re-architected legacy monoliths into modular microservices using event-driven Java patterns. Developed Python microservices with FastAPI and Flask and frontend SPAs using Angular and React. Designed microservices-based backends integrating Kafka and RabbitMQ, and managed cloud infrastructure automation with Terraform, CloudFormation, and Ansible. Led CI/CD pipeline development with Jenkins, GitHub Actions, and ArgoCD enabling zero-downtime deployment. Engineered secure authentication with OAuth2/OIDC and PingFederate SSO. Optimized SQL/DB queries to reduce latency and led migration for legacy IMS DB/DC workflows to REST APIs. Productionized GenAI for customer support and AI pipelines with LangChain and Databricks MLflow. Played Scrum Master/Tech Lead role for Ag

Designed scalable applications using Java 8–17, Spring Boot, and Python (Flask, FastAPI, automation scripting, and AI integration). Delivered a critical front-office integration module processing over 15 million monthly healthcare/financial transactions with high-throughput REST & GraphQL APIs. Re-architected legacy monoliths into modular microservices using CQRS, API Gateway patterns, and event-driven Java-based designs. Developed Python microservices for analytics, risk scoring, AI model inference, and built Python scripts for ETL and ML job orchestration. Hands-on with frontend frameworks including Angular (2–15), React, and TypeScript, optimized UI/UX with HTML5, CSS3, Bootstrap, JavaScript, and AJAX. Deployed secure, scalable cloud platforms on AWS and Azure, automated infrastructure with Terraform, CloudFormation, and Ansible. Containerized services with Docker, Kubernetes, and managed CI/CD pipelines enabling blue-green and canary deployments. Led DevSecOps practices and han