About

Kunal Sahu is an experienced Machine Learning Engineer with a strong background in Artificial Intelligence, Machine Learning, Deep Learning, and Neural Networks. With over 1.7 years of experience in building and implementing AI integrated solutions for business use cases across multiple domains, specifically in computer vision and machine learning processing, he has developed a keen interest in research roles in the field of artificial intelligence and building scalable machine learning solutions. Currently working as a Machine Learning Engineer at resoluteai.in, Kunal is involved in data preprocessing techniques for making the data useful for creating machine learning models. He has owned and executed multiple data science projects and is involved in creating machine learning models for test A/B content, which is useful for making better decisions regarding the products. Kunal has developed Object Counting & Tracking solutions and delivered multiple Proof of Concept's for the clients. He is also implementing and experimenting upon new research and delivering and implementing the project as per scheduled milestones. Additionally, Kunal is participating in onsite deployment, customer support, and product up-gradation. He interacts with the onshore team for requirements gathering, analysis, and implementations. In the past, Kunal has worked as a Machine Learning Intern at resoluteai.in and as a Deep Learning Engineer at ineuron. As a Machine Learning Intern, he was involved in image annotations & object detection model training on different frameworks and creating Flask Web applications for machine learning & deep learning models. As a Deep Learning Engineer, Kunal collected data from various sites by use of web scraping, video scrapping and manual collection of images. He annotated images and trained on various detection models to check the best accuracy, trained detection model on YOLOv4 and TFOD2 and run inferences on various videos, and developed and integrated logic that can differentiate between individual by extracting the hat colour. Kunal holds a Bachelor of Technology degree in Electronics and Communication Engineering from abes engineering college. He has a strong technical background in ML, Deep Learning, Neural Networks, Computer Vision, Research Scientist, AI, Object detection, test, Data Scientist, Object Detection, Web, and Flask, with 2.70 years of relevant experience.