SAI VARUNDEGALA
// PROJECTS & SYSTEM MODULES
MedGraph Nexus
Engineered a graph-based retrieval-augmented generation (RAG) backend system utilizing Neo4j and FastAPI for pharmaceutical data intelligence. Designed advanced knowledge graph pipelines to improve context retrieval accuracy and semantic mapping.
Finete.AI
Engineered a full-stack platform featuring real-time financial anomaly detection and local, privacy-focused agent workflows. Implemented multi-phase implementation roadmaps for automated financial auditing and anomaly alerts.
MRI Brain Tumor Detection Model
Developed a deep learning computer vision model for multi-class brain tumor classification and MRI scan analysis. Processed complex medical imaging datasets to optimize diagnostic accuracy and feature extraction.
Railway Communication Anomaly System
Built an interpretable machine learning system focused on detecting anomalies and telemetry issues in railway communication networks. Integrated semantic feature extraction pipelines to parse real-time operational data streams.
Real-Time Packet Loss Detection System
Developed a networking telemetry and monitoring architecture designed to capture and analyze traffic packet loss in real time. Implemented robust logging and traffic evaluation mechanisms to quickly isolate network degradations.
Global Vehicle Pooling Platform
Designed a scalable vehicle-pooling application tailored for a general, global audience to optimize shared mobility. Focused on core backend routing logic and efficient matching algorithms to connect riders and drivers.