Akshansh Chahal has a diverse work experience spanning multiple companies and roles. Akshansh is currently employed at Eightfold as a Lead Software Engineer, a position they held since August 2023. Prior to that, they worked as a Senior Software Engineer at Eightfold from March 2022 to July 2023, and as a Software Engineer from April 2020 to March 2022.
Before joining Eightfold, Akshansh worked as a Data Science Intern at Experian DataLabs from June 2019 to September 2019. During this internship, they applied semi-unsupervised learning techniques to fraud detection problems and built an end-to-end pipeline for algorithm application and result visualization.
Akshansh also served as a Graduate Teaching Assistant at the University of California San Diego from January 2019 to June 2019, and as a Graduate Teaching Assistant from April 2019 to June 2019.
One of Akshansh's notable achievements was their involvement in an undergraduate thesis project at the Indian Institute of Technology, Delhi. Akshansh worked on an extension project to FarmBeats, an IoT system for data-driven agriculture. This project was recognized by Satya Nadella and inspired him in 2017.
Additionally, Akshansh undertook a summer internship at SAMSUNG R&D INSTITUTE INDIA - BANGALORE PRIVATE LIMITED in 2017. During this internship, they worked on Bixby Analytics and contributed to improving the AI assistant's performance by finding new domains and implementing NLP algorithms for topic modeling.
Overall, Akshansh Chahal showcases a strong background in software engineering, data science, and research, with a proven ability to contribute to various projects and organizations.
Akshansh Chahal holds a Master's degree in Computer Science from UC San Diego, which they obtained from 2018 to 2020. Prior to that, they pursued a Bachelor of Technology (BTech) in Computer Science and Engineering at the Indian Institute of Technology, Delhi from 2014 to 2018. Akshansh'ssecondary education was completed at Bal Bharati Public School in Pitampura, New Delhi, where they focused on Physics, Chemistry, and Maths from 2000 to 2014. Additionally, they have obtained various certifications in deep learning and machine learning from Coursera, including the Deep Learning Specialization, Sequence Models, Convolutional Neural Networks, Improving Deep Neural Networks, Neural Networks and Deep Learning, and Structuring Machine Learning Projects.
August, 2023 - present
March, 2022
April, 2020