V

Venkata Satya Akash

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Charlotte, North Carolina, United States

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Résumé

Jobs verified_user 0% verified
  • University of North Carolina
    Graduate Assistant – Full Stack Developer
    University of North Carolina
    Aug 2024 - Current (1 year 10 months)
    • Designed a healthcare management platform incorporating appointment scheduling, EHR management, automated notifications, and analytics dashboards, increasing patient interaction tracking by 35% • Developed 10+ RESTful APIs using Spring Boot with WebSocket support for live updates, optimizing PostgreSQL via Hibernate, and implementing Angular-based web interfaces for 500+ users • Integrated OAuth 2.0 with Keycloak for role-specific access, configured CI/CD pipelines in Jenkins, and deployed Dockerized applications on AWS with Kubernetes • Designed responsive UI components using React, Tailwind CSS, and Material-UI, improving accessibility for modules, achieving a 25% enhancement in daily usage among students • Implemented authenticati
  • HealthEdge
    Software Developer
    HealthEdge
    Aug 2023 - Jul 2024 (1 year)
    • Addressed 20+ production-critical defects in healthcare applications using Java, Spring Boot, and SQL, shortening customer-reported incidents by 30% and optimizing SLA adherence • Streamlined SQL queries, PL/SQL procedures, and stored functions in claims and billing modules, leading to a 45% reduction in query execution time and improving financial transaction accuracy • Refactored legacy codebases using SOLID principles and Design Patterns, lowering cognitive complexity from >100 to <12 and boosting maintainability for future releases • Created automated testing pipelines with JUnit, Mockito, PowerMock, TestNG, and GitLab CI/CD, raising unit and integration test coverage from 60% to 82% • Analyzed observability using log4j, ELK Stac
  • HealthEdge
    Software Developer Intern
    HealthEdge
    Jan 2023 - Jul 2023 (7 months)
    • Engineered backend services in Java (Spring Boot) and Python (Flask), integrating RESTful APIs for EHR and claims, and executed SQL scripts • Constructed unit and integration tests with JUnit, PyTest, Postman, and SOAP UI, leading to a 28% decrease in defect leakage and increasing module reliability • Optimized SQL queries, stored procedures, and database schemas in MySQL and PostgreSQL, contributing to a 38% acceleration in average execution time for high-volume financial and healthcare modules • Containerized microservices using Docker and deployed via GitLab CI/CD with Shell scripting, participating in Agile teams, and implementing TDD practices during sprint cycles
  • SRM University
    Research Intern
    SRM University
    Jul 2022 - Dec 2022 (6 months)
    • Created a multi-sensor pedestrian tracking system using accelerometer, gyroscope, and magnetometer data with a modular design, achieving a 37% enhancement in indoor navigation accuracy • Implemented supervised learning for activity recognition (walking, stairs, incline) and applied time-series signal processing, reducing sensor noise and drift compared to traditional PDR approaches • Conducted error analysis and model tuning for predictive models, leading to a 33% reduction in misclassification rate and improving robustness for deployment testing • Refined feature extraction and dead reckoning algorithms, enhancing location estimation consistency across 15+ indoor environments, supporting augmented reality and location-based service a
Education verified_user 0% verified
  • University of North Carolina at Charlotte
    Master of Computer Science
    University of North Carolina at Charlotte
    Aug 2024 - Current (1 year 10 months)
  • SRM University
    Bachelor of Technology
    SRM University
    Jun 2019 - May 2023 (4 years)
Projects (professional or personal) verified_user 0% verified
  • L
    Localization Quality Estimation Model
    Oct 2024 - Dec 2024 (3 months)
    • Engineered a machine learning model predicting translation quality without references, processing multilingual sentences, and achieving 82% prediction precision • Trained models with PyTorch and scikit-learn, incorporating tokenization, text normalization, and error pattern analysis, improving model accuracy by 35% on test datasets
  • S
    Statistical Analysis CLI Tool Enhancement in Java with Junit Testing
    Apr 2024 - Jun 2024 (3 months)
    • Expanded a Java-based command-line statistical tool by adding analytical functions (standard deviation, variance, mean deviation), processing data entries, and improving calculation accuracy by 40% • Executed unit testing with JUnit, validating statistical computations and ensuring backward compatibility
  • H
    Healthcare Management System
    Jan 2023 - Mar 2023 (3 months)
    • Developed secure RESTful APIs with Spring Boot and Hibernate, validating EHR records daily and decreasing data inconsistencies through exception handling • Constructed a responsive front-end with Angular, HTML5, CSS3, and TypeScript, driving a 35% improvement in user task completion speed