Summary
Deepa Malani is a Software Engineer at Qualcomm Wireless R&D, specializing in automation within the Wireless Automation team, with eight years of experience. She has a solid full-stack background from Diaspark Infotech (ASP.NET/C#, Java, Android) and has contributed to enterprise projects, delivering modules and reducing manual work. At CSU-Dominguez Hills, she developed IDSGAN—a GAN-based approach to generate synthetic adversarial data for an Intrusion Detection System, and evaluated multiple ML algorithms using Python, PyTorch, and Scikit-learn. Her educational path spans a Master of Science in Information Technology and a Master's in Computer Science, with additional Android Nanodegree from Udacity, highlighting a strong mix of software engineering and applied ML. Based in San Diego, she brings a global academic-to-industry perspective, bridging security-driven ML research with scalable software delivery at a major tech employer. She is a proactive engineer with hands-on experience across Python, ML frameworks, .NET, Java, and Android, and a track record of delivering automation solutions in high-impact environments.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.Sc.), Information Technology, Bachelor of Science (B.Sc.), Information Technology at Devi Ahilya Vishwavidyalaya
Nanodegree, Android Developer Nanodegree Program, Nanodegree, Android Developer Nanodegree Program at Udacity
Master of Science (M.Sc.), Information Technology, Master of Science (M.Sc.), Information Technology at Devi Ahilya Vishwavidyalaya, Indore
Master's degree, Computer Science, Master's degree, Computer Science at California State University-Dominguez Hills
English, Hindi, Sindhi