SIDDHANT GADAMSETTI

Architected and implemented enterprise RAG/CAG pipelines, projected to reduce content processing time by 60% and achieve $180K/year in operational savings for 1M+ learners.

Developed comprehensive knowledge graphs using Neo4j and Pinecone, semantically linking over 1,000 courses to enhance content discoverability and learning pathways.

Deployed MCP agent orchestration systems for complex multi-step workflows, achieving a 94% content accuracy rate across various automated processes.

Spearheaded the development and deployment of 4 production automation pipelines, streamlining media generation, data analytics, content research, and material ingestion.

Designed and validated StreamSense, a multi-sensor platform achieving sub-50ms synchronization accuracy across EEG, ECG, EDA, and respiration biosignal modalities.

Directed a human intervention study with 10 participants and 50 recordings, demonstrating a 107% alpha power recovery through a novel yoga intervention protocol.

Developed a sophisticated cognitive load induction platform utilizing a dual-task paradigm (N-back + Stroop) for precise psychophysiological research.

Authored and implemented the ProSense toolkit, providing professional-grade solutions for biosignal analysis and visualization, enhancing research capabilities.

Implemented comprehensive test automation strategies that reduced validation cycles by 40% and optimized firmware response times by 25%.

Developed custom Data Acquisition (DAQ) integrations and automated power measurement systems, leveraging NI LabVIEW for enhanced testing efficiency.

Successfully designed and delivered 6-layer Printed Circuit Boards (PCBs) for production IoT devices, including Bluetooth speakers and smart appliances.

Achieved zero-defect hardware manufacturing and reduced Bill of Materials (BOM) costs by 15% through optimized design and rigorous EMI-EMC compliance testing.