Praveen Singh

I am a machine-learning enthusiast who enjoys problem-solving and building machine-learning pipelines. I am responsible for designing and implementing algorithms and models, selecting appropriate datasets, and optimizing models for performance. My experience includes training and fine-tuning deep learning models like YOLOv5 for a computer vision pipeline on cloud-based platforms like AWS. I collaborate with cross-functional teams to integrate models into production systems and provide ongoing maintenance and support. I am passionate about leveraging the latest technologies and tools to build scalable and efficient machine-learning pipelines that can solve complex business problems.

I have a strong machine-learning background and experience deploying a custom YOLOv5 model for object detection. I also integrated the model with a Flask API, making it easy for clients to use. In my previous role as a Senior Software Developer at MakeMyTrip.com, I honed my skills in the latest web development technologies, such as GraphQL, Java Springboot, and Django.

My undergraduate education in Mathematics and Computing at Delhi Technological University gave me a solid foundation in ML. I could apply what I learned in internships and on ML projects in PyTorch and TensorFlow. I have also done many projects in image processing and computer vision. During my Master's program, I further developed my expertise in deep learning algorithms and was able to implement state-of-the-art algorithms for video summarization using PyTorch.