Lalith Ch

Developed and deployed HIPAA-compliant AI/ML models forecasting patient admissions, bed occupancy, and clinical risks, enhancing patient safety and optimizing hospital resources. Built secure RESTful and GraphQL APIs for clinical systems integration, applied NLP and explainable AI techniques for medical data transparency, and created cloud-native infrastructure using AWS SageMaker, EC2, RDS, and Kubernetes. Engineered real-time anomaly detection linked to hospital IoT devices to monitor patient vitals. Automated data workflows with Python and AWS Lambda/Step Functions, optimized PL/SQL procedures for healthcare data processing, and led CI/CD pipeline development ensuring high reliability and compliance. Collaborated with clinicians and stakeholders to align AI solutions with clinical workflows while mentoring junior developers on best practices and healthcare regulations.

Designed and developed scalable backend services and RESTful APIs with FastAPI and Node.js for fraud detection and compliance systems. Implemented asynchronous workflows and WebSocket communication for real-time interactions. Built microservices tightly integrated with Angular UIs, containerized applications using Docker and Kubernetes, and automated deployments with Jenkins and Terraform. Managed AWS infrastructure for ML workloads with serverless components. Developed Kafka streaming pipelines for real-time transaction monitoring and designed ETL pipelines using AWS Glue linked to Redshift. Enhanced code quality via TDD and static analysis, integrated GPT-based LLMs for report automation and conversational bots, and configured observability with ELK, Prometheus, and Grafana to ensure robust, compliant cloud applications.

Developed a cloud-based automation platform streamlining client workflows. Built scalable backend services with Flask/Python, designed secure REST APIs, integrated RabbitMQ for asynchronous jobs, and optimized MySQL/PLSQL databases with SQLAlchemy ORM. Delivered responsive UIs using HTML5, CSS3, and JavaScript. Established CI/CD pipelines using Azure DevOps and Docker for deployments on Azure App Service and Heroku. Authored JWT authentication, configured Nginx, refined PL/SQL packages to boost performance, and applied OOP principles for reusable components. Managed source control with Git and conducted automated testing via Pytest and Selenium to ensure application reliability.