SWETHA KAMBHAM

Led multiple Python and data structures workshops focused on software design and optimization, improving project completion rates by 35%. Developed several Raspberry Pi projects including traffic simulation and obstacle detection with full documentation. Deployed Android applications in Kotlin with REST API integrations while applying best software engineering practices.

Conducted sentiment analysis on 50,000+ Reddit comments using CardiffNLP and LLaMA, achieving 92% accuracy and winning Best Paper Award at IEMTRONICS 2025. Presented an LLM-based music recommendation system leveraging DeepFace and OpenCV to an audience of over 150 attendees at ISPR 2025. Built forecasting models for cyanobacteria bloom detection with LSTM, Prophet, and XGBoost models achieving over 90% R-squared accuracy.

Designed scalable backend APIs using .NET and PostgreSQL supporting revenue and invoicing features for over 10,000 users. Enhanced frontend performance by integrating React components with GraphQL, reducing latency by 35%. Automated CI/CD pipelines with Jenkins and GitHub Actions, cutting deployment cycles by 50%. Diagnosed critical production issues using ElasticSearch and Kibana, reducing client escalations by 20%. Mentored junior developers and contributed over 25 features across billing and client onboarding. Participated in migration of 6+ monolith systems to microservices, decreasing integration issues by 40% and speeding deployments.