About

Sneh Pahilwani is a skilled Software Development Engineer II at Amazon Subscribe & Save, with a passion for coding and reading/watching fiction and biographies in her spare time. She has gained 6.78 years of relevant experience in the industry and is currently working as a Software Engineering Intern at Avaya. At Avaya, Sneh developed a framework that automated interoperability scenarios across multiple Avaya soft clients with Sikuli automation tool and Python. This framework was integrated into longevity performance runs to expose memory leaks. She also automated the generation of memory load statistics for analysis. The technologies used in this project were Sikuli and Python. Prior to her role at Avaya, Sneh worked as a Technology Integration Engineer at Amdocs, where she developed automation scripts to enable smooth and quick deployment of Amdocs Customer Management Products environments and builds. She also worked on Environment-as-a-Service (EaaS) scenarios, which included automated installations, MAT testing, and report generation using VMware vCloud Director tool and Jenkins CI. Sneh was responsible for Amdocs CRM 9.X hot fixes build and release management, source code management, build optimization, CI, and release-deployment on delivery servers. The technologies used in this project were Python, Perl, Shell script, UNIX, Linux systems, Jenkins, Perforce, Ant, Maven, and SQL. Sneh has also worked as a Graduate Student Researcher at LiLab, University of Florida, where she worked on a system to identify manatees from their sketches from a database of similar-looking manatees based on scar patterns using AutoEncoders. Her research interests include Deep Learning and Computer Vision. Sneh holds a Master’s Degree in Computer Science from the University of Florida and a Bachelor’s Degree in Computer Science from Symbiosis International University. Her tech stack includes Software Engineering, test, Kafka, and Web. Sneh is a talented professional with a passion for coding and a strong track record of delivering high-quality results.