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Hi, I'm Lalith Ch, a Senior Python Full Stack Developer with over 11 years of experience specializing in AI/ML-driven cloud applications in healthcare, financial services, and enterprise domains. I have strong expertise in designing, developing, and deploying scalable, secure, and compliance-aligned AI/ML models that deliver impactful solutions such as predictive analytics, clinical risk detection, fraud detection, semantic search, and intelligent automation. I am passionate about leveraging advanced technologies including Python, TensorFlow, PyTorch, FastAPI, and cutting-edge NLP frameworks to create value-driven applications. I thrive in agile environments, mentoring teams and collaborating closely with cross-functional stakeholders to translate complex technical challenges into actionable insights and robust production-grade solutions. I continuously seek to innovate and stay updated on emerging AI and cloud-native technologies to drive successful business outcomes.…Hi, I'm Lalith Ch, a Senior Python Full Stack Developer with over 11 years of experience specializing in AI/ML-driven cloud applications in healthcare, financial services, and enterprise domains. I have strong expertise in designing, developing, and deploying scalable, secure, and compliance-aligned AI/ML models that deliver impactful solutions such as predictive analytics, clinical risk detection, fraud detection, semantic search, and intelligent automation. I am passionate about leveraging advanced technologies including Python, TensorFlow, PyTorch, FastAPI, and cutting-edge NLP frameworks to create value-driven applications. I thrive in agile environments, mentoring teams and collaborating closely with cross-functional stakeholders to translate complex technical challenges into actionable insights and robust production-grade solutions. I continuously seek to innovate and stay updated on emerging AI and cloud-native technologies to drive successful business outcomes.

Lalith Ch

Full Stack Developer, Developer, AI Engineer, +2

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Hi, I'm Lalith Ch, a Senior Python Full Stack Developer with over 11 years of experience specializing in AI/ML-driven cloud applications in healthcare, financial services, and enterprise domains. I have strong expertise in designing, developing, and deploying scalable, secure, and compliance-aligned AI/ML models that deliver impactful solutions such as predictive analytics, clinical risk detection, fraud detection, semantic search, and intelligent automation. I am passionate about leveraging advanced technologies including Python, TensorFlow, PyTorch, FastAPI, and cutting-edge NLP frameworks to create value-driven applications. I thrive in agile environments, mentoring teams and collaborating closely with cross-functional stakeholders to translate complex technical challenges into actionable insights and robust production-grade solutions. I continuously seek to innovate and stay updated on emerging AI and cloud-native technologies to drive successful business outcomes.…Hi, I'm Lalith Ch, a Senior Python Full Stack Developer with over 11 years of experience specializing in AI/ML-driven cloud applications in healthcare, financial services, and enterprise domains. I have strong expertise in designing, developing, and deploying scalable, secure, and compliance-aligned AI/ML models that deliver impactful solutions such as predictive analytics, clinical risk detection, fraud detection, semantic search, and intelligent automation. I am passionate about leveraging advanced technologies including Python, TensorFlow, PyTorch, FastAPI, and cutting-edge NLP frameworks to create value-driven applications. I thrive in agile environments, mentoring teams and collaborating closely with cross-functional stakeholders to translate complex technical challenges into actionable insights and robust production-grade solutions. I continuously seek to innovate and stay updated on emerging AI and cloud-native technologies to drive successful business outcomes.

Available to hire

Hi, I’m Lalith Ch, a Senior Python Full Stack Developer with over 11 years of experience specializing in AI/ML-driven cloud applications in healthcare, financial services, and enterprise domains. I have strong expertise in designing, developing, and deploying scalable, secure, and compliance-aligned AI/ML models that deliver impactful solutions such as predictive analytics, clinical risk detection, fraud detection, semantic search, and intelligent automation.

I am passionate about leveraging advanced technologies including Python, TensorFlow, PyTorch, FastAPI, and cutting-edge NLP frameworks to create value-driven applications. I thrive in agile environments, mentoring teams and collaborating closely with cross-functional stakeholders to translate complex technical challenges into actionable insights and robust production-grade solutions. I continuously seek to innovate and stay updated on emerging AI and cloud-native technologies to drive successful business outcomes.

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Work Experience

Senior Python Full Stack Developer – AI/ML at HCA Healthcare

October 1, 2023 - Present

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.

Python Full Stack Developer – AI/ML-Enabled Cloud Applications at Bank of America

September 30, 2023 - August 26, 2025

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.

Python Fullstack Developer at PwC

April 30, 2021 - August 26, 2025

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.

Python Developer at Telstra

December 31, 2019 - August 26, 2025

Developed and maintained backend systems for financial trading and market data applications focusing on real-time data ingestion and secure trade execution. Built RESTful APIs with Flask and Django for external market data integration. Automated deployments and CI/CD using Jenkins with containerized microservices orchestrated by Kubernetes. Used web scraping and sentiment analysis tools to extract market signals. Managed databases with Python, SQLAlchemy, MongoDB, Redis, and PostgreSQL. Worked in Agile environment using JIRA and GIT and conducted unit testing with PyUnit and PyTest. Developed Python applications optimized for Kubernetes. Utilized numerous Python packages to build scalable financial applications.

Python Developer at ADP

February 28, 2016 - August 26, 2025

Designed and implemented a web-based dashboard platform for payroll and compliance using Django with MVT architecture. Integrated Oracle and MySQL databases using Django ORM and optimized PL/SQL procedures and triggers. Developed responsive UI templates with Bootstrap, HTML, CSS, and JavaScript. Established automated testing frameworks for REST APIs and UI using Selenium and Pytest. Managed deployments and CI/CD pipelines with Jenkins and GitHub Actions. Managed source control and applied OOP principles for scalable backend services. Developed secure RESTful APIs and maintained database performance and consistency across HR/payroll systems.