Yogesh Naik

Yogesh Naik has over 18 years of work experience in various software engineering and technical roles. Yogesh most recently worked at Deserve as a Principal Software Engineer, where they contributed to the development of a Credit Card platform as a Service using Microservices architecture and AWS. Prior to this, they worked as a Technical Lead at Deserve, focused on designing and developing Credit Card Application processing using BPMN workflow and Python & Django.

Before joining Deserve, Yogesh worked as a Lead Developer at Trusting Social and as a Software Engineering Manager and Expert Software Engineer at TomTom. Yogesh also has experience working at Atos as a Technical Leader and System Analyst, where they were responsible for requirements analysis, designing enterprise applications, and mentoring team members.

Furthermore, Yogesh worked as an Associate Consultant at ORACLE FINANCIAL SERVICES SOFTWARE LIMITED, a Senior Software Engineer at iGATE Patni Computers Systems Limited, and started their career as a Trainee - Software Developer at Source Code India Pvt. Ltd.

Yogesh Naik brings a wealth of experience in software development, technical leadership, and project management across various industries.

Yogesh Naik has a strong educational background with a focus on software technology and engineering. Yogesh completed a Bachelor of Engineering in Production from K. J. Somaiya COE in 2002. Prior to that, Yogesh earned a Bachelor's degree in Science (Maths, Physics, Chemistry) from K.V. Pendharkar, Dombivali in 1998. Yogesh further enhanced their skills by earning a Post Graduate Diploma in Software Technology from CDAC between 2002 and 2005, where they studied Object-Oriented Programming, Java, DBMS, and Network Programming. Yogesh also completed an Advanced Post Graduate Diploma in Software Tech. from CDAC during the same period, focusing on Object-Oriented Analysis and Design, Network Programming, and GUI Design. In addition to their formal education, Yogesh has obtained various certifications from LinkedIn in areas such as Django, Docker, Kubernetes, and Machine Learning.