Yugansh Kumar

Build Python ETL and automation workflows ingesting enterprise data from SAP, REST APIs, SFTP, and file-based sources into BigQuery and Google Cloud Storage. Developed a validation module to detect missing client deliveries and ingestion gaps, and support production pipelines across GCP services.

Built the Python/cloud processing pipeline for a biomedical wearable handling ECG, SpO2, heart rate, HRV, bioimpedance, and body-temperature data. Designed ingestion, storage, analytics, and automated reporting workflows using AWS services, and implemented signal preprocessing that improved ECG signal quality by 25%.

Built Linux/ADB automation for device boot and application startup with logging and failure handling. Implemented encrypted communication and network intrusion-detection functionality on embedded Linux systems.

Built Python/pygatt tooling for continuous BLE ingestion and testing of multi-axis motion-sensor streams used in fall-detection research. Reduced sensor-data processing and transmission overhead by 50% by replacing floating-point payloads with compact integer representations.

Grade: 7.54/10

Activities and societies: Final Round – KPIT Sparkle; Team Lead, IoT Lab, KIIT – led a 12-member technical team.

Pursued a B.Tech in Computer Science at KIIT University, graduating in March 2026 with a CGPA of 7.54/10.