Sachin has accumulated over 12 years of invaluable experience in the Information Technology sector, distinguished by an MS and MBA earned in the USA. Sachin has a good background in machine learning and data science. Sachin is very knowledgeable about wide array of techniques including regression analysis, classification, clustering, and deep learning, with a notable proficiency in Python, TensorFlow, Scikit-learn, and PyTorch. 

 

Before venturing into the depths of machine learning and AI, his career was marked by extensive experience in developing and testing large-scale distributed systems. Sachin has demonstrated a versatile and comprehensive approach to software development. At Johnson and Johnson, Sachin’s contributions furthered the enhancement of diabetes management through R&D. Sachin was a key player in the team that pioneered the first monetized APIs at Johnson and Johnson, facilitating native diabetes apps to relay blood sugar readings to various pharmacies and insurance firms, which became a commercial success. At Deloitte, Sachin played a pivotal role in launching a benefits portal for Illinois residents under Obama Care, marking a transformative societal milestone. He developed numerous test frameworks from scratch to improve automation, saving time to test applications and deliver quality product within time. 

 

In addition to practical applications, Sachin has contributed to the academic world through published research papers in the areas of machine learning and artificial intelligence. This commitment to innovation is further demonstrated by a patent application currently pending with the Patent Office and another in the preparatory stages, showcasing Sachin’s ongoing contributions to the field. 

Beyond these accomplishments, Sachin has also taken on the role of judge for two prestigious awards—the Globee and Business Intelligence awards—leveraging his extensive technology experience to evaluate candidates in the realms of machine learning, artificial intelligence, and cloud computing. Sachin also dedicates time to advancing scholarly work by serving as a peer reviewer for three reputable journals in the domains of Machine Learning, Data Science, and Artificial Intelligence.