Mayank Bhatia
About Mayank Bhatia
Mayank Bhatia is a Product Engineer at Data Semantics in Bengaluru, India, with expertise in NLP techniques, computer vision, and machine learning. He has a background in Electronics and Communications Engineering and has worked on various projects involving deep learning models and data visualization.
Work at Data Semantics
Mayank Bhatia has been employed at Data Semantics since 2022, currently holding the position of Product Engineer. His role involves leveraging his expertise in natural language processing (NLP) techniques for text representation and semantic extraction. Prior to this position, he worked as a Software Engineer at the same company from 2019 to 2022, and began his career there as a Software Engineering Intern in 2019. His experience at Data Semantics spans various aspects of product development and engineering in a hybrid work environment based in Bengaluru, Karnataka, India.
Education and Expertise
Mayank Bhatia earned a Bachelor of Technology (B.Tech.) in Electronics and Communications Engineering from JIET Group of Institutions Jodhpur, completing his studies from 2014 to 2018. He furthered his education with a Post Graduate Diploma in Internet of Things (IoT) from the Centre for Development of Advanced Computing (C-DAC) between 2018 and 2019. His educational background is complemented by his proficiency in machine learning and deep learning libraries, including OpenCV, TensorFlow, and Keras.
Background
Before joining Data Semantics, Mayank Bhatia worked as a Research Intern at Bharat Electronics Limited in 2017. His early education includes attending Kendriya Vidyalaya, where he completed his secondary education and studied subjects such as Physics, Chemistry, Mathematics, and Computer Science. This foundational knowledge has contributed to his technical skills and understanding of various engineering principles.
Technical Skills and Projects
Mayank Bhatia possesses a strong skill set in computer vision and machine learning applications. He has worked on object detection and tracking projects utilizing deep learning models such as YOLOv3, MobileNet SSD, and DeepSort. His experience includes developing TensorFlow-based models for custom object detection and deploying inference models across multiple platforms. Additionally, he has contributed to Planogram compliance projects, focusing on product detection on retail store shelves and performing related data analytics.
Experience with IoT and AI/ML Technologies
Mayank has developed backend Python code for MQTT communication protocols to interface with Microsoft Azure IoT hub services. He has experience with constrained devices, including Nvidia Jetson Nano, Raspberry Pi, TI-CC3200, and Arduino. His work also involves building user interfaces for real-time sensor data monitoring and developing APIs while dockerizing AI/ML pipelines to enhance deployment efficiency.