Saransh Srivastava
About Saransh Srivastava
Saransh Srivastava is a Senior Engineering Manager at Adobe, where he has worked since 2022. He has a strong background in statistical learning and extensive experience in AI/ML solutions, having previously held various engineering roles at companies like Verizon, GrapeCity, and Expedia Group.
Work at Adobe
Saransh Srivastava serves as a Senior Engineering Manager at Adobe, a position he has held since 2022. In this role, he leads a team of engineers and scientists dedicated to developing a smarter conversation platform. His responsibilities include overseeing the design and implementation of innovative solutions that leverage artificial intelligence and machine learning to enhance user interactions.
Previous Experience
Prior to his current role at Adobe, Saransh Srivastava accumulated extensive experience in various software engineering positions. He worked at Verizon as a Software Analyst from 2007 to 2010 in Hyderabad, India. Following this, he held a position as a Senior Software Engineer at GrapeCity from 2011 to 2013 in Noida, India. He then joined Expedia Group, where he progressed through several roles, including Software Development Engineer-I, Software Development Engineer-II, and Software Development Engineer-III, ultimately becoming Sr. Manager of Software Development Engineering from 2020 to 2022.
Education and Expertise
Saransh Srivastava holds a Bachelor of Technology (B.Tech.) in Electrical, Electronics, and Communications Engineering from Uttar Pradesh Technical University, which he completed from 2003 to 2007. He furthered his education by obtaining a Postgraduate Diploma in Artificial Intelligence and Machine Learning from the International Institute of Information Technology Bangalore in 2022. His academic background supports his strong expertise in statistical learning and deep learning techniques.
Technical Skills
Saransh possesses a strong technical foundation in machine learning and artificial intelligence. His expertise includes statistical learning, particularly in time series models such as ARIMA and ARFIMA. He has experience in designing and implementing AI/ML solutions for complex analytical problems, including recommendation systems and virtual assistants. Additionally, he is skilled in deep learning techniques, including convolutional neural networks (CNN), recurrent neural networks (RNN), and long short-term memory (LSTM) networks.
Machine Learning Experience
Saransh Srivastava has extensive experience in various machine learning techniques. His proficiency includes principal component analysis and support vector machines, which are essential for data analysis and predictive modeling. His work focuses on developing solutions that address complex analytical challenges, demonstrating his capability in the field of AI and machine learning.