Akhilesh Kapse

Akhilesh Kapse has a diverse work experience in the field of data science and machine learning. Akhilesh has worked as an Associate Data Science Engineer at Gainsight, where they used their skills to improve the EraseBG product and integrate ML solutions in the production backend. Prior to that, they were a Data Science Intern at the same company. Akhilesh also worked as a Freelance Blogger for Medium.

Akhilesh has also gained experience as a Machine Learning Engineer at Fynd (Shopsense Retail Technologies Ltd.), where they collaborated with the Pixel-Bin core team to enhance the EraseBG product and implement ML solutions. Additionally, they participated in the Amazon ML Summer School program at Amazon.

Further, Akhilesh served as an AI/ML Lead at Google Developer Student Club - IIITDM Jabalpur, where they contributed to AI and ML initiatives. Akhilesh worked on various projects related to change detection, crop classification modeling, and data processing using multi-spectral remotely sensed satellite imagery and QGIS. Akhilesh also conducted research on L0 to L1 data conversion techniques.

During their time as a Machine Learning Researcher at New York University, Akhilesh focused on developing deep learning methods that incorporate physical laws for advancing AI in the physical sciences. Akhilesh collaborated with NYU Ph.D. students on implementing machine learning models for fluid interaction and analysis.

As an ML Application Developer Intern at Appcilious Pvt. Ltd, Akhilesh worked with object detection models, segmentation auto-encoders, and full-stack web development. Akhilesh also gained experience in deploying real-time applications on web services and explored audio data processing and modeling.

Overall, Akhilesh Kapse has gained valuable experience in data science, machine learning, and AI through their various roles and internships at reputable organizations.

Akhilesh Kapse pursued a Bachelor of Technology (BTech) degree in Mechanical Engineering from the Indian Institute of Information Technology, Design and Manufacturing in Jabalpur from 2019 to 2023. Akhilesh also obtained various certifications, including "End-to-End Machine Learning with TensorFlow on GCP" from Coursera in February 2022, "KWoC Participant" from Kharagpur Open Source Society in January 2021, "Deep Learning Specialization" from deeplearning.ai in December 2020, "Machine Learning" from Coursera in May 2020, and "Learning Python for Data Analysis and Visualization" from Udemy in April 2020.