Kairatbek

Built Python data pipelines to process IoT sensor and telematics data, applying basic machine learning concepts for predictive maintenance and anomaly detection. Designed automation scripts and test cases in Python on Ubuntu/Linux environments to validate data ingestion and integration. Collaborated with data science teams to implement data handling workflows for teleoperation-style dashboards (real-time GPS and driver monitoring). Improved system reliability, reducing downtime by 35% through test automation and monitoring enhancements. Worked with telematics and IoT devices similar to robotics teleoperation systems, involving real-time data ingestion, monitoring, and predictive maintenance. Created Python scripts for performance monitoring across Linux-based Azure VMs, ensuring cross-regional pipeline consistency. Applied basic CS concepts (data structures, algorithms) in building optimized data retrieval and reporting pipelines. Collaborated on internal test automation to validate Azure metrics collection and dashboards. Optimized database queries and caching mechanisms, reducing average API response time by 30%. Collaborated with cross-functional teams using Agile methodologies, ensuring timely delivery of project milestones. Deployed and monitored applications on AWS and Dockerized environments to ensure high availability and performance.