Abhishek Jindal
About Abhishek Jindal
Abhishek Jindal is a Technical Analyst with over five years of experience in product-based companies. He has a background in machine learning and has worked with international teams across multiple countries.
Work at Confidential
Abhishek Jindal has been employed as a Technical Analyst at Confidential since 2024. In this role, he has accumulated four months of experience. His responsibilities include leading and managing developers, which involves assigning workloads effectively. This position allows him to leverage his extensive background in technical analysis and team management.
Previous Experience in Machine Learning
Prior to his current role, Abhishek Jindal worked as a Machine Learning Engineer at Blue Umbrella Limited from 2021 to 2024. His tenure at this company lasted three years and was conducted remotely from Delhi, India. He also held a Machine Learning Engineer position at Qlicket from 2018 to 2021, where he worked for three years in a hybrid environment in Noida, Uttar Pradesh. Additionally, he worked at Mamsys World as a Machine Learning Engineer for one year from 2017 to 2018, on-site in Noida.
Education and Expertise
Abhishek Jindal holds an Engineer’s Degree in Computer Engineering from Maharaja Agrasen University, which he completed from 2014 to 2018. He also pursued further education at freeCodeCamp, where he studied Computer Software Engineering and earned a Full Stack Web Development Certification from 2016 to 2017. This educational background supports his technical skills and expertise in the field.
International Collaboration Experience
Throughout his career, Abhishek Jindal has demonstrated his ability to work with diverse teams across the globe. While at X-team, he communicated with colleagues residing in more than ten countries. This experience highlights his proficiency in international collaboration and effective communication in a multicultural environment.
Commitment to Continuous Learning
Abhishek Jindal is dedicated to continuous learning and self-improvement. He utilizes his commuting time to acquire new knowledge and skills, reflecting his commitment to professional development. This proactive approach to learning enhances his capabilities in the technical field.