About

Aniket Gaikwad is an Associate Member of Technical Staff at Salesforce with a keen interest in IoT and Neural Networks. He has recently started coding and is eager to expand his knowledge in the field. Aniket has a diverse background in both Mathematics and Electrical Engineering, having completed his M.Sc. in Maths and B.E. in EEE from Birla Institute of Technology and Science, Pilani. Aniket has gained valuable experience from his previous roles, including his time as an Associate at PwC, where he was responsible for integrating SAP systems with personal messaging applications. He also developed automation/optimization scripts, such as reports, tables, smart forms, custom optimized queries, and BAPIs. During his internship at Xilinx, Aniket worked with the System Validation team and built a new statistics gathering and visualizing module for their random system validation tool. Additionally, he implemented a new DMA memory allocation algorithm to optimize coverage. Aniket's technical skills include Salesforce, Software Engineering, Neural Networks, Integration, and Backend. He has 1.77 years of relevant experience and is always eager to learn new skills and technologies. Aniket is a quick learner and enjoys working in a challenging environment that pushes him to grow and develop his skills. Overall, Aniket is a highly motivated individual with a passion for technology and a desire to make a meaningful contribution to the industry. He is committed to delivering high-quality work and is always looking for ways to improve his skills and knowledge.