Saisri Vishwanath

Software Engineer at Syracuse University

Developed an LLM-powered research assistant integrating semantic search, retrieval augmented generation (RAG) architecture, and contextual summarization to improve document retrieval precision by 30%. Applied named entity recognition and sentiment analysis for enhanced response accuracy. Implemented backend services using FastAPI and deployed containerized applications on AWS EC2. Additionally, created a mental health risk scoring model applying regression techniques to predict wellness scores with an MAE of 0.42, enabling early interventions for students.

Associate Developer at Oracle

Enhanced Oracle Human Resource Application System using Java, Spring Boot microservices, and Oracle Database, significantly improving performance and stability. Developed and integrated over 20 REST APIs employing best practices and strong authentication. Led SDLC phases including requirements, coding, testing, and deployment, increasing stakeholder engagement by 30%. Reduced production bugs by 30% through thorough code reviews. Optimized more than 15 SQL queries, cutting data retrieval time by 50%. Automated deployment workflows using Jenkins, reducing regression cycles by 50%. Onboarded and trained 40+ new hires in Oracle SQL and Java.

Software Engineer at Publicis Sapient

Contributed to full-stack development of an ecommerce vehicle platform using React, Bootstrap, Spring Boot, MongoDB, and Kafka. Led unit testing implementation with JUnit and optimized frontend builds with Webpack, achieving over 90% code coverage. Worked collaboratively in an Agile environment with GitHub for version control, improving team delivery velocity by 35%.

Software Engineer at Syracuse University

Built an LLM-powered research assistant for easy access to university research documents by combining semantic search (BERT + cosine similarity), RAG architecture (OpenAI + Pinecone), and contextual summarization via prompt engineering, boosting retrieval precision by 30%. Applied NER and sentiment analysis to extract key entities and evaluate user feedback, enhancing contextual relevance and response accuracy. Developed and deployed the backend for the LLM research assistant using FastAPI, creating API endpoints for user queries and information retrieval, and containerized the application with Docker and deployed on AWS EC2. Built a mental health risk scoring model using psychological survey data and behavioral logs, applying regression techniques to predict wellness scores with a MAE of 0.42, enabling early intervention for at-risk students.

Associate Developer at Oracle

Developed and enhanced core functionalities within an Oracle Human Resource Application System using Java, Spring Boot microservices, and Oracle Database, significantly enhancing application performance and stability, ensuring a seamless user experience. Engineered, integrated, and validated over 20 REST APIs, improving application functionality with strong authentication mechanisms and comprehensive data validation, with a focus on consistent API response structures. Executed all phases of the Software Development Life Cycle (SDLC), from requirements to development, code reviews, testing, and deployment, leading to a 30% increase in stakeholder engagement. Debugged production issues, notably reducing production bugs by 30% through thorough code reviews and best practices, while maintaining 99% uptime. Optimized 15+ SQL queries, leading to a 50% reduction in data retrieval time. Automated deployment and API testing workflows via Jenkins, reducing regression cycles by 50% and accelerati