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I am a full stack software engineer with 5+ years of experience building enterprise-grade web applications and microservices across healthcare and financial domains. I specialize in Java (Spring Boot), React (Redux, TypeScript), and Python (Flask), and have designed scalable RESTful APIs, real-time event-driven systems with Kafka, and role-based UI layers to support claim adjudication and care coordination at scale. I also build modular ML pipelines for readmission risk prediction, containerize and deploy services with Docker and AWS ECS, and implement CI/CD pipelines. I enjoy collaborating with cross-functional teams to deliver HIPAA- and FINRA-aligned solutions with strong test automation and accessible frontend experiences.…I am a full stack software engineer with 5+ years of experience building enterprise-grade web applications and microservices across healthcare and financial domains. I specialize in Java (Spring Boot), React (Redux, TypeScript), and Python (Flask), and have designed scalable RESTful APIs, real-time event-driven systems with Kafka, and role-based UI layers to support claim adjudication and care coordination at scale. I also build modular ML pipelines for readmission risk prediction, containerize and deploy services with Docker and AWS ECS, and implement CI/CD pipelines. I enjoy collaborating with cross-functional teams to deliver HIPAA- and FINRA-aligned solutions with strong test automation and accessible frontend experiences.

Sai Prakash K.

Full Stack Developer, Developer, Programmer, +3

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I am a full stack software engineer with 5+ years of experience building enterprise-grade web applications and microservices across healthcare and financial domains. I specialize in Java (Spring Boot), React (Redux, TypeScript), and Python (Flask), and have designed scalable RESTful APIs, real-time event-driven systems with Kafka, and role-based UI layers to support claim adjudication and care coordination at scale. I also build modular ML pipelines for readmission risk prediction, containerize and deploy services with Docker and AWS ECS, and implement CI/CD pipelines. I enjoy collaborating with cross-functional teams to deliver HIPAA- and FINRA-aligned solutions with strong test automation and accessible frontend experiences.…I am a full stack software engineer with 5+ years of experience building enterprise-grade web applications and microservices across healthcare and financial domains. I specialize in Java (Spring Boot), React (Redux, TypeScript), and Python (Flask), and have designed scalable RESTful APIs, real-time event-driven systems with Kafka, and role-based UI layers to support claim adjudication and care coordination at scale. I also build modular ML pipelines for readmission risk prediction, containerize and deploy services with Docker and AWS ECS, and implement CI/CD pipelines. I enjoy collaborating with cross-functional teams to deliver HIPAA- and FINRA-aligned solutions with strong test automation and accessible frontend experiences.

Available to hire

I am a full stack software engineer with 5+ years of experience building enterprise-grade web applications and microservices across healthcare and financial domains. I specialize in Java (Spring Boot), React (Redux, TypeScript), and Python (Flask), and have designed scalable RESTful APIs, real-time event-driven systems with Kafka, and role-based UI layers to support claim adjudication and care coordination at scale.

I also build modular ML pipelines for readmission risk prediction, containerize and deploy services with Docker and AWS ECS, and implement CI/CD pipelines. I enjoy collaborating with cross-functional teams to deliver HIPAA- and FINRA-aligned solutions with strong test automation and accessible frontend experiences.

Skills

Experience Level

Expert

Expert

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Expert

Expert

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Expert

Expert

Expert

Expert

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Expert

Language

English

Fluent

Work Experience

Software Engineer at UnitedHealth Group

January 1, 2024 - Present

Engineered scalable RESTful APIs with Java, Spring Boot, and JPA to enhance provider engagement platforms, improving claims adjudication throughput by 28%. Developed modular React components improving referral workflow and reducing defects by 35%. Optimized backend integrations and database queries, improving API response time by 40%. Designed event-driven microservices using Kafka to enable real-time care team collaboration, reducing delays by 22%. Delivered over 15 critical features in Agile sprints, with code managed via Jira and GitHub and deployed through Jenkins pipelines. Implemented secure JWT-based authentication and OAuth2 access controls aligning with HIPAA standards. Collaborated with AI/ML teams to integrate predictive risk scores into clinician workflows, boosting proactive healthcare interventions.

Senior Software Engineer at Adons Softech

July 1, 2022 - August 20, 2025

Developed scalable React components using TypeScript and Redux Toolkit for real-time trade allocation and reconciliation dashboards used globally by front-office traders. Integrated secure role-based UI views compliant with FINRA guidelines. Built high-performance data tables and visualizations utilizing AG Grid and D3.js, reducing page load times by 35%. Streamlined form-heavy workflows with Formik and Yup, increasing user task completion by 22%. Partnered with UX teams to implement pixel-perfect, WCAG 2.1 accessible layouts using Storybook and internal design systems. Authored over 200 unit and integration tests with Jest and React Testing Library achieving 95% code coverage and reducing UI regressions by 40%.

Software Engineer at Cybage Software

July 1, 2020 - August 20, 2025

Developed scalable backend services using Python (FastAPI, Flask) for clinical rules processing supporting over 3 million daily transactions with low latency. Created modular machine learning pipelines for readmission risk scoring using scikit-learn and XGBoost integrated through REST APIs for real-time patient discharge predictions. Automated claims preprocessing workflows, reducing manual QA time by 40%. Implemented ML retraining triggers and monitoring identifying over 15% data drift. Wrote 150+ unit and integration tests with Pytest achieving 90% coverage and reducing post-release defects by 35%. Containerized services with Docker and deployed on AWS ECS, cutting release times significantly while maintaining HIPAA compliance.

Software Engineer at UnitedHealth Group

January 1, 2024 - Present

Engineered scalable RESTful APIs using Java, Spring Boot, and JPA for provider engagement platforms, improving claims adjudication throughput by 28%. Developed modular React components with Redux, Formik, and Context API to streamline workflows, reducing frontend defects by 35%. Optimized database queries to improve API response times by 40%. Designed Kafka event-driven microservices enabling real-time care team collaboration, reducing delays by 22%. Delivered multiple critical features using Agile methodologies and implemented secure authentication and access controls ensuring HIPAA compliance. Collaborated with AI/ML teams to integrate predictive risk scores to enhance clinician workflows and proactive interventions.

Senior Software Engineer at Adons Softech

July 1, 2022 - August 20, 2025

Developed scalable and modular React components using TypeScript and Redux Toolkit for real-time trade allocation and reconciliation dashboards used globally. Integrated secure, role-based UI views to enforce compliance with FINRA guidelines. Built high-performance data tables and visualizations using AG Grid and D3.js, reducing page load times by 35%. Streamlined complex form workflows with Formik and Yup, improving task completion by 22%. Collaborated with UX teams to implement accessible layouts ensuring WCAG 2.1 compliance. Wrote extensive unit and integration tests achieving 95% coverage, significantly reducing production UI defects.

Software Engineer at Cybage Software

July 1, 2020 - August 20, 2025

Designed scalable backend services in Python (FastAPI, Flask) for clinical rules processing and member eligibility with sub-250ms latency supporting millions of daily transactions. Built ML pipelines using scikit-learn and XGBoost integrated with REST APIs for real-time readmission risk scoring. Automated claims preprocessing workflows using pandas and NumPy, reducing manual QA time by 40%. Implemented ML model retraining and monitoring with MLflow detecting data drift. Containerized backend services with Docker and deployed them on AWS ECS, cutting release times significantly while maintaining HIPAA compliance. Authored comprehensive tests achieving 90% coverage and lowered post-release defects.

Software Engineer at UnitedHealth Group

January 1, 2024 - Present

Engineered scalable RESTful APIs using Java, Spring Boot, and JPA to power core features in the provider engagement platform, improving claims adjudication throughput by 28%. Developed modular React components with Redux, Formik, and Context API to streamline referral management workflows, reducing frontend defects by 35%. Optimized backend integration with Azure SQL and MySQL by refactoring high-latency queries and stored procedures, improving API response times by 40%. Designed event-driven microservices using Kafka to enable real-time care team collaboration and reduce coordination delays by 22%. Delivered 15+ features across sprints, managed code in Jira and GitHub, and deployed via Jenkins CI/CD pipelines. Implemented JWT-based authentication and OAuth2 across UI and APIs, ensuring HIPAA-aligned role separation and preventing unauthorized access in staging. Collaborated with AI/ML teams to integrate predictive risk scores into clinician workflows, supporting proactive intervention

Senior Software Engineer at Adons Softech

July 31, 2022 - September 11, 2025

Developed scalable and modular React components using TypeScript, Redux Toolkit, and custom hooks to power real-time trade allocation and reconciliation dashboards used by front-office traders globally. Implemented secure, role-based UI views with Context API, HOCs, and dynamic routing to enforce entitlements across compliance-sensitive screens, aligning with internal audits and FINRA guidelines. Built high-performance data tables and visualizations with AG Grid and D3.js for P&L tracking, reducing page load times by 35%. Streamlined form-heavy workflows like position entry, KYC updates, and exception justifications using Formik, Yup, and autosave logic, improving user task completion by 22%. Collaborated with UX to implement pixel-perfect layouts using Storybook and a company design system, ensuring WCAG 2.1 accessibility across platforms. Wrote 200+ unit and integration tests using Jest and React Testing Library, achieving 95% code coverage and reducing production UI regressions by 4

Software Engineer at Cybage Software

July 31, 2020 - September 11, 2025

Designed and developed scalable backend services in Python (FastAPI, Flask) for clinical rules processing and member eligibility checks, supporting 3M+ daily transactions with <250ms latency. Built modular ML pipelines for readmission risk scoring using scikit-learn and XGBoost, exposed via REST APIs for real-time predictions in discharge workflows. Automated claims preprocessing using pandas, NumPy, and custom rule engines, enabling downstream cost estimation models and reducing manual QA time by 40%. Implemented retraining triggers and model monitoring with MLflow, cron jobs, and versioned datasets, detecting drift in risk scores over time on EHR data. Wrote 150+ unit and integration tests with Pytest and API fixtures, achieving 90% test coverage and reducing post-release defects by 35% across three modules. Containerized all backend services with Docker, deployed via GitHub Actions and AWS ECS, cutting release time from 30 mins to under 10 mins while maintaining HIPAA-aligned access

Software Engineer at UnitedHealth Group

January 1, 2024 - Present

Engineered scalable RESTful APIs using Java, Spring Boot, and JPA to power core features in the provider engagement platform, increasing claims adjudication throughput by 28%. Developed modular React components with Redux, Formik, and Context API to streamline referral management workflows, reducing frontend defects by 35%. Optimized backend integration with Azure SQL and MySQL, refactoring high-latency queries to improve API response time by 40%. Designed event-driven microservices using Kafka to enable real-time care team collaboration and reduce coordination delays by 22%. Delivered 15+ features across sprints in Agile, managed code through Jira and GitHub, and deployed via Jenkins CI/CD. Implemented JWT-based authentication and OAuth2 access control for HIPAA-aligned role separation. Collaborated with AI/ML teams to integrate predictive risk scores into clinician workflows.

Senior Software Engineer at Adons Softech

July 1, 2022 - September 11, 2025

Developed scalable and modular React components using TypeScript, Redux Toolkit, and custom hooks to power real-time trade allocation dashboards. Implemented secure, role-based UI views using Context API, HOCs, and dynamic routing to enforce entitlements across compliant screens. Built high-performance data tables and visualizations with AG Grid and D3.js for P&L tracking and market exposure, reducing page load times by 35%. Streamlined form-heavy workflows (position entry, KYC updates, exception justifications) with Formik, Yup, and autosave logic, improving user task completion by 22%. Collaborated with UX to implement pixel-perfect layouts using Storybook and internal design system for WCAG 2.1 accessibility. Wrote 200+ unit and integration tests with Jest and React Testing Library, achieving 95% code coverage and reducing production UI regressions by 40% over two release cycles.

Software Engineer at Cybage Software

July 1, 2020 - September 11, 2025

Designed backend services in Python (FastAPI, Flask) for clinical rules processing and member eligibility checks, handling 3M+ daily transactions with sub-250ms latency. Built modular ML pipelines for readmission risk scoring using scikit-learn and XGBoost, exposed via REST APIs for real-time predictions. Automated claims preprocessing workflows with pandas and NumPy, enabling downstream cost estimation models and reducing manual QA time by 40%. Implemented retraining triggers and model monitoring with MLflow and versioned datasets, detecting drift in risk scores over time. Containerized services with Docker and deployed via GitHub Actions and AWS ECS, maintaining HIPAA-aligned access control and audit logs.