Mohan Sri Chollangi
Software Engineer I • USA • c*********@gmail.com • +16******769 • drivetube.ai/•••••
Professional Summary
Software Engineer I with 3 years of experience supporting front-end and back-end application delivery across healthcare and banking environments. Hands-on with React, TypeScript, Java, Python, REST APIs and cloud CI/CD; experienced building, testing and debugging features in containerized AWS deployments. Strong collaborator with QA and product teams; focused on reliable API-driven services, data processing, and responsive web UIs.
Technical Skills
Programming Languages: Java,Python,JavaScript,TypeScript
Web Technologies: GraphQL
Frameworks and Libraries: React Hooks,Angular,Spring Boot,Spring MVC,Spring Data JPA,Hibernate ORM,FastAPI,Django,Bootstrap,Pandas,NumPy,Scikit-learn,TensorFlow
Databases: SQL,Oracle,MySQL,PostgreSQL,MongoDB,Redis
Cloud and DevOps: AWS,Azure,Docker,Kubernetes,Jenkins,CI,CD Pipelines,Apache Airflow,Apache Kafka
Testing: JUnit,Mockito,Selenium WebDriver,Jest,React Testing Library,Cucumber,SonarQube,Test-Driven Development
Data and Analytics: Hugging Face Transformers
Tools and Methodologies: Git,Maven,Log4j,JIRA
Web & APIs: RESTful APIs,OpenAPI,OAuth 2.0,JWT Authentication,Microservices,HTML5,CSS3
Work Experience
AthenahealthUSA
USA
Software Engineer
Sept 2024 – Present
Worked at a healthcare IT provider delivering cloud-based EHR and revenue-cycle software; supported API-driven features, front-end services, and clinical data workflows.
Tech Stack: React, TypeScript, JavaScript, FastAPI, Django, Python, Pandas, NumPy, OpenAPI, REST APIs, Apache Airflow, Apache Kafka, AWS, Docker, Kubernetes, Jenkins, Git, Selenium, SonarQube, SQL
- Implemented React and TypeScript front-end components for clinical workflows, shipping cross-browser UI features that improved clinician usability across browser-based EHR applications using React Hooks, HTML5 and CSS3.
- Maintained and extended FastAPI and Django REST services for ingesting and retrieving clinical documents; authored OpenAPI specifications and debugged endpoints to stabilize internal tooling and integrations.
- Applied Python, Pandas, NumPy and SQL to clean, transform and validate large clinical datasets, reducing manual preprocessing effort across 10M+ documents and improving downstream data quality for analytics.
- Designed and deployed near-real-time ingestion pipelines using Apache Airflow and Apache Kafka, improving ingestion reliability and throughput for 500K+ clinical records while enabling faster downstream processing.
- Containerized and deployed services on AWS using Docker and Kubernetes; integrated Jenkins-driven CI/CD and Git workflows to automate releases and reduce production issues through consistent build and deployment practices.
- Collaborated closely with QA on automated and end-to-end testing using Selenium and SonarQube-driven static analysis to accelerate defect detection, shorten release cycles and improve overall system stability.
CognizantIndia
India
Software Engineer
Oct 2021 – Jul 2023
Worked at a global IT consulting firm supporting enterprise banking platforms; delivered backend services, API integrations and responsive application features for financial systems.
Tech Stack: Java, Spring Boot, Spring MVC, Spring Data JPA, Hibernate ORM, REST APIs, Angular, TypeScript, HTML5, CSS3, Oracle, MySQL, SQL, JUnit, Mockito, Git, Jenkins, Maven, Log4j, JIRA
- Engineered secure account and transaction services using Java and Spring Boot/Spring MVC, implementing object-oriented designs to meet banking security and data integrity requirements.
- Developed and maintained REST APIs with Spring Data JPA and Hibernate ORM; ensured consistent service contracts and data mapping for distributed banking platform integrations.
- Built responsive Angular and TypeScript user interfaces for customer-facing dashboards, focusing on cross-browser compatibility and accessibility using HTML5 and CSS3.
- Optimized SQL queries and database access patterns in Oracle and MySQL to improve transaction processing performance, reducing query latency and supporting stable lower-environment testing.
- Authored unit and integration tests with JUnit and Mockito; contributed to Git-based CI pipelines with Jenkins and Maven to lower defects and accelerate delivery cadence.
- Coordinated with engineering, QA and product stakeholders in Agile sprints; used Log4j for application logging and JIRA for issue tracking to troubleshoot incidents and improve service reliability.
Education
Northeastern University
Master of Science in Computer Science • Boston, MA, USA • Sep 2023 – Dec 2025
CVR College of Engineering
Bachelor of Technology in Mechanical Engineering • Hyderabad, Telangana, India • Jul 2017 – Jul 2021
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