Aakash Kaushik

Software Developer at NimbleBox

Aakash Kaushik has a diverse work experience in the field of software development and deep learning research. Aakash started their career in 2020 as a Software Developer at NimbleBox.ai, where they handled projects from the R&D and Engineering team, focusing on improving the MLOps platform and the platform's overall R&D project. Aakash also worked as a Deep Learning Researcher at NimbleBox.ai for a period of one year.

In 2021, Aakash joined OptimEyes AI as an AI/ML Intern, where they gained valuable experience in the field. Aakash then moved on to Samsung R&D Institute India in 2022 as a Research and Development Developer, contributing to various research and development projects.

Aakash has also participated in the Google Summer of Code program in 2021, where they worked as a Developer for mlpack. Additionally, they worked as a Deep Learning intern at Mavoix Solutions Private Limited in 2020.

Overall, Aakash Kaushik has demonstrated their expertise in software development, deep learning research, and AI/ML internships through their various roles in different organizations.

Aakash Kaushik started their education at air force school from 2015 to 2017. After that, they attended Nand vidya niketan from 2017 to 2019, although the degree name and field of study are not specified for this period. From 2019 to 2023, Aakash studied at SRM University (Sri Ramaswamy Memorial University), where they pursued a Bachelor of Technology (BTech) degree in Computer Science.

In addition to their formal education, Aakash Kaushik has also obtained several certifications. Aakash completed the "Machine Learning Data Lifecycle in Production" course from Coursera in November 2021 and the "Introduction to Machine Learning in Production" course from Coursera in July 2021. Aakash also acquired a certification in Google Cloud Platform from Qwiklabs in October 2020. Aakash completed a course in Machine Learning from Stanford University in October 2020 and a Deep Learning Specialization from deeplearning.ai in May 2020.

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