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Kunal Kamlani has a diverse work experience spanning multiple roles and industries. In 2021, they worked at Cosee - Shree Shyam Polyfils LLP. as a Management Information System Executive, where they handled and analyzed sales and revenue data to improve cash flow and supply chain. Kunal then interned at Odessa as a Software Engineer, delivering bug fixes and implementing production-level code. In 2022, Kunal joined iSchoolConnect as a Machine Learning Engineer, where they implemented a multi-label tagging system, analyzed model performance, and implemented a fine-tuned multi-label model using TensorFlow. Kunal also contributed to the documentation of various APIs used in the project.

Kunal Kamlani pursued their Bachelor of Engineering (BE) degree in Computer Science from CHANDIGARH UNIVERSITY, starting in 2018 and completing it in 2022. Additionally, they obtained several certifications, including "Understanding and Visualizing Data with Python" from the University of Michigan in June 2020, "Introduction to Data Science in Python" from the University of Michigan in May 2020, "R Programming" from John Hopkins University SAIS Online in May 2020, "Python 101 for Data Science" from Cognitive Class in January 2020, "C Training" from the Indian Institute of Technology, Bombay in April 2019, and "C++ Training" from the Indian Institute of Technology, Bombay in April 2019.