Summary
Kalpana Gaunolla is a Senior Software and ADAS Engineer with 8+ years of cross-domain experience building data-driven solutions for automotive, manufacturing, and communications sectors from Chennai. She specializes in end-to-end data engineering and ML workflows—designing ETL pipelines, predictive maintenance models, and automated SIL/CI-CD tooling using Python, BigQuery, Vertex AI and cloud storage—to turn vehicle telematics and sensor data into actionable validation and reliability insights. At Renault Nissan and Valeo she combined domain collaboration with statistical root-cause analysis and deployment standards to accelerate testing and improve product reliability. Known as a data science enthusiast on GitHub, she brings a pragmatic blend of software engineering and analytics, plus a background in client-facing roles that sharpens stakeholder communication and delivery focus.
5 years of coding experience
5 years of employment as a software developer
SSC, 94.3%, SSC, 94.3% at APSWR(G) School, Palamaner
Intermediate, Mathematics, Physics and Chemistry, 95.6%, Intermediate, Mathematics, Physics and Chemistry, 95.6% at Narayana Junior College, Tirupati
Bachelor of Technology - B. Tech, Chemical Engineering, 72.79%, Bachelor of Technology - B. Tech, Chemical Engineering, 72.79% at JNTU College of Engineering , Anantapur