Ankur Das
About Ankur Das
Ankur Das is a Junior Machine Learning Engineer with a background in Computer Science and Engineering. He has gained experience through various internships and positions in data science and machine learning across multiple companies in India.
Current Role at Mad Street Den
Ankur Das is currently employed as a Junior Machine Learning Engineer at Mad Street Den, a position he has held since 2023. In this role, he focuses on developing machine learning models and solutions that leverage advanced technologies to address real-world challenges. His work involves collaborating with cross-functional teams to implement innovative applications in artificial intelligence.
Previous Experience in Machine Learning and Data Science
Prior to his current position, Ankur Das gained valuable experience in the field of machine learning and data science. He worked as a Machine Learning Engineer at DeepEdge from 2022 to 2023, and at Examarly for three months in 2022. Additionally, he completed internships at The Sparks Foundation and Aeonix Research and Innovations in 2021, where he focused on data science and machine learning projects.
Educational Background in Computer Science
Ankur Das holds a Bachelor of Technology (B.Tech) in Computer Science and Engineering from the University of Calcutta, which he completed from 2019 to 2022. He also earned a Bachelor of Science (B.Sc.) in Computer Science from Asutoh College between 2016 and 2019. His academic background has provided him with a strong foundation in computer science principles and practices.
Technical Skills and Expertise
Ankur Das possesses hands-on experience with various data types, including image, video, text, tabular, and sensor data. He is skilled in model optimization for edge devices, utilizing tools such as OpenVINO, TFLite, and TFLite-Micro. His technical expertise enables him to develop efficient machine learning models suitable for deployment in resource-constrained environments.
Engagement in Continuous Learning and Collaboration
Ankur actively participates in online platforms such as Kaggle and LeetCode to enhance his skills in data science and machine learning. He is open to collaborating on research and open-source projects, demonstrating his commitment to continuous learning and professional development. He is also seeking a team for Kaggle competitions to further apply his knowledge and skills.