Bharath Gajula Email & Phone Number

United States

United States

Boston, Massachusetts, United States

• Architected RESTful APIs leveraging AWS API Gateway and Lambda functions, streamlining data flow between front-end applications and backend databases for healthcare analytics platforms.• Crafted responsive and intuitive web interfaces using React and TypeScript, empowering life science researchers to efficiently navigate and analyze complex biological datasets.• Orchestrated ETL processes to consolidate data from disparate healthcare systems into a centralized AWS-based data warehouse, enabling comprehensive analysis of multifaceted biological datasets.

Boston, Massachusetts, United States

Boston, Massachusetts, United States

Bengaluru, Karnataka, India

• Developed highly scalable RESTful APIs for Enterprise-grade Microservices using Spring boot, following the 12-factor app methodology.• Collaborated with cross-functional teams and utilized standard design patterns to implement Business Logic for Oracle’s Digital Banking web application.• Identified bugs through unit testing using JUnit and utilized bash scripting to analyze logs and resolve critical Java, SQL and ORM/JPA issues.• Built and maintained CI/CD pipelines in Jenkins and integrated it with Subversion for automating Gradle application build, testing and continuous deployment over OCI cloud servers.• Actively contributed to 3 concurrent projects and ensured timely delivery of all modules with design documentation and minimal technical debt, across all phases of the agile software development life cycle.• Automated routine tasks by implementing bash cron jobs and groovy load scripts, leading to an efficiency gain up to 80%.• Represented my team at a client location and played a pivotal role in setting up, configuring and deploying Oracle’s applications on client’s UAT, SIT and Production environments• Provided on-site support to bank clients, offering immediate assistance and resolving errors efficiently. Maintained Jira ticket system to track and prioritize issue resolution, resulting in a 20% reduction in error resolution time.

Bangalore Urban, Karnataka, India

India

• Enhanced dataset accuracy by 10% through advanced data processing techniques and feature extraction algorithms, specifically designed for dark background and low-quality field images such as K-means clustering and sobel-edge.• Assisted in data collection and cleaning, ensuring high-quality datasets for data-driven research and analysis.• Implemented CNN and Transfer Learning models, leading to a 15% increase in model performance and effectiveresolution of data-related challenges.• Trained machine learning models, actively engaging in the experimentation process to optimize training times by 20%.• Created pipelines for CNN and focused on parameter optimization to fine-tune model performance.

Bengaluru, Karnataka, India

• Established scalable pipeline automated processes to develop, validate, and implement machine learning models such as Xgboost, logistic regression, and Decision trees, resulting in improved efficiency and classification accuracy.• Applied preprocessing techniques to increase tenure prediction (Customer Segmentation) accuracy to 96% which lead to substantial cost savings and differentiation in customer offerings by providing incentives to increase brand loyalty.

Master Of Science - Ms, Computer Science

Bachelor Of Engineering - Be, Electrical, Electronics And Communications Engineering

High School Diploma, 9-12