Skin Cancer Detection with Deep Learning

Sehaj Grover is a Software Development Build Fellow at Open Avenues Foundation, where he works with students leading projects in software development, backend engineering, and applied machine learning. Sehaj is a Senior Full Stack Engineer at Attend (formerly Season Share), where he focuses on designing and implementing scalable web applications, developing advanced algorithms for optimized ticketing solutions, and mentoring junior engineers to foster a collaborative development environment. He also integrates machine learning techniques to enhance system capabilities and user insights. Sehaj has over 5 years of professional experience in the software development field. He has led several high-impact projects, enhancing product efficiency, user experience, and system performance through modern technologies, innovative design approaches, and machine learning applications. He holds a Master’s in Computer Science from the University at Buffalo (SUNY). A fun fact about Sehaj is that he enjoys exploring mystery and thriller movies and audiobooks in his free time.