BHAVATARINI THANGARAJU

Software Engineering Intern - Machine Learning at Labelmaster

Conducted exploratory data analysis on CRM data to improve feature selection and data quality. Orchestrated data cleaning and NLP processes using NLTK and SentenceTransformer, raising model accuracy to 90%. Built scalable ML pipelines with XGBoost to impute missing profiling data for over 350,000 records, increasing data completeness to 95%. Applied KMeans and DBSCAN clustering to segment accounts, enhancing marketing engagement efficiency by 50%.

Software Engineer at Bosch Global Software Technologies

Owned end-to-end development of a core Spring Boot microservice including backend logic, data modeling, and Angular frontend. Implemented JWT authentication and role-based access control with Spring Security and API Gateway, securing over 30 endpoints and reducing unauthorized access incidents by approximately 40%. Designed scalable RESTful APIs enabling integration for backend services and client modules. Maintained high-throughput ETL pipelines with Java and Oracle PL/SQL, optimizing schema for efficient data retrieval from 60 million legacy records.

Associate Software Engineer at Bosch Global Software Technologies

Configured Apache Tomcat server with load balancing and failover to ensure 99.9% uptime and reduced latency during peak traffic. Automated daily data synchronization using Oracle packages between external and internal systems to improve data reliability. Optimized high-volume search endpoints with indexed SQL queries and Java-based pagination, reducing response time by 98.3%. Mentored junior developers by conducting code reviews and knowledge transfers to strengthen team collaboration.

Software Engineer Intern at Bosch Global Software Technologies

Developed a Python-based rule-based chatbot microservice to handle user FAQs, reducing manual support workload by approximately 40%. Increased unit and integration test coverage by 80% using JUnit, JSuite, and Mockito. Implemented and maintained CI/CD pipelines with Jenkins, reducing deployment time by 60%.

Software Engineering Intern - Machine Learning at Labelmaster

Conducted exploratory data analysis (EDA) on CRM data to uncover patterns that improved feature selection and data quality. Orchestrated data cleaning and NLP with NLTK and SentenceTransformer to extract job title semantics, increasing model accuracy to 90%. Built scalable ML pipelines with XGBoost to impute missing profiling fields across 350K+ records, raising data completeness to 95%. Applied KMeans and DBSCAN clustering to segment accounts for personalized outreach, boosting marketing engagement efficiency by 50%.

Software Engineer at Bosch Global Software Technologies

Owned end-to-end development of a core Spring Boot microservice with backend logic, data modeling, and Angular-based frontend. Implemented JWT authentication and role-based access control using Spring Security and API Gateway, securing 30+ endpoints and reducing unauthorized access incidents by ~40%. Designed and developed scalable RESTful APIs enabling seamless integration for 5+ backend services and 20 client modules. Designed and maintained high-throughput ETL pipelines using Java and Oracle PL/SQL to clean, transform, and load 60M+ legacy records, optimizing schema design for faster query execution and efficient data retrieval.

Associate Software Engineer at Bosch Global Software Technologies

Configured Apache Tomcat server with load balancing and failover support, ensuring 99.9% uptime and reduced latency during peak traffic. Automated daily data syncs using Oracle packages to synchronize external systems with internal databases, improving data reliability. Optimized high-volume search endpoints by rewriting SQL queries with indexing and Java-based pagination, reducing response time by 98.3%. Mentored junior developers through code reviews, documentation, knowledge transfers strengthening team collaboration and code delivery.

Software Engineer Intern at Bosch Global Software Technologies

Developed a Python-based rule-based chatbot microservice to handle user FAQs, reducing manual support load by approximately 40%. Boosted unit and integration test coverage by 80% using JUnit, JSuite, and Mockito, increasing code reliability and test automation confidence. Implemented and maintained CI/CD pipelines using Jenkins for frontend and backend test environments, reducing deployment time by 60%.

Software Engineering Intern - Machine Learning at Labelmaster

Conducted exploratory data analysis on CRM data using Python to uncover patterns that improved feature selection and data quality. Led data cleaning and NLP with NLTK and SentenceTransformer to extract job title semantics, increasing model accuracy to 90%. Built scalable ML pipelines with XGBoost to impute missing profiling fields across 350K+ records, raising data completeness to 95%. Applied KMeans and DBSCAN clustering to segment accounts for personalized outreach, boosting marketing engagement efficiency by 50%.

Software Engineer at Bosch Global Software Technologies

Integrated Apache Kafka for event-driven architecture, enabling real-time messaging and asynchronous communication across microservices. Implemented robust JWT authentication and role-based access control with Spring Security and API Gateway, securing 30+ endpoints. Designed and developed scalable RESTful APIs using Spring Boot, enabling seamless integration for 5+ backend services and 20 client modules. Optimized ETL pipelines with Spring Batch and Oracle PL/SQL to process 60M+ records, improving query performance and retrieval speed. Automated recurring backend tasks (log cleanups, scheduled data refreshes, and daily data sync workflows) using Spring Scheduler with Oracle PL/SQL, reducing manual interventions by 80% and ensuring consistent synchronization between systems.

Associate Software Engineer at Bosch Global Software Technologies

Owned end-to-end development of a core Spring Boot microservice with backend logic, data modeling, and React-based frontend. Deployed Spring Boot apps on Apache Tomcat with load balancing and failover, ensuring 99.9% uptime and lower latency during peak traffic. Re-architected high-traffic search endpoints by implementing Spring Boot pagination + SQL indexing, reducing response times by 98.3%. Mentored junior developers through code reviews, documentation, and knowledge transfers to strengthen team collaboration and code delivery.