Ashlesh Kadandale

• Certified AS9100D Internal Auditor.
• Represented the company in AS9100D Certification Audit, System for Advance Manufacturing Assessment and Rating (SAMAR) Certification, and multiple bank audits, ensuring strict compliance and upholding quality standards.
• Collaborated with cross-functional teams to enhance quality assurance and control, establishing comprehensive quality management systems that align with AS9100D standards.
• Developed and tracked quality goals, procedures, and performance metrics, driving continuous improvement and ensuring adherence through regular training and documentation updates.
• Managed corrective action processes by identifying root causes of non-conformances, implementing effective solutions, and overseeing quality planning for new product launches to meet customer requirements.

• DevOps internship experience involving Kubernetes, Docker, and Python, focusing on container orchestration, automation, and CI/CD pipeline implementation.
• Proficient in deploying and managing containerized applications, utilizing tools like Kubernetes and Docker, and automating tasks through Python scripting while actively collaborating with cross-functional teams.

• Automation of data analysis in MATLAB.
• Stiffness characterization of human breast tissue towards cancer diagnosis.
• Experimentation and analysis for detection of Protein-Protein interactions for applications in cancer and covid diagnosis.
• Co-authored the research paper titled "Lab-on-PCB-Based Electrical Immunosensing Platform for Point-of-Care Detection of SARS-CoV-2" in the IEEE Sensors Letters.

Estimated amount of collagen in skeletal muscle using automatic image processing algorithm that was developed in MATLAB to determine extracellular matrix fraction.

Implementation of Phase Field Model for Brittle Fracture in Abaqus.

“Design of Pylons for Fighter Aircraft”: In Plant Training.