Sindhura Shivaprasad

• Built an AI-driven network optimization platform using GraphRAG, FastAPI, and WebSockets • Built a Knowledge Graph grounded 3GPP specs with RAG pipeline system for organisation. • Fine-tuned a LLM on domain-specific documents to create an expert knowledge model with improved contextual reasoning and domain accuracy. • Engineered GitHub Actions-based CI/CD pipelines with containerized deployments • Accelerated MVP delivery from six weeks to two weeks by leveraging Cursor AI for automated code generation

• Built event-driven mutual fund workflows with Kafka microservices (6K+ events/sec), Lambda NAV automation • Optimized React, TypeScript -based discovery and engagement modules for travel platforms using S3 • Integrated Elasticsearch for large-scale hotel and destination search, handling 1M+ requests • Moved Rails monoliths to Django microservices and React.js Frontend and improved Redis/PostgreSQL APIs • Automated Docker/GitHub Actions (CI/CD) and Jest-based test pipelines, doubling deployment speed

• Developed and deployed ML models on real-world data for predictive analytics, automating pipelines and improving model accuracy. • Utilized Python libraries including Pandas, NumPy, Scikit-learn, and TensorFlow for data preprocessing, model training, and evaluation.