I am Anubhav Tiwari, a highly skilled ML Research Engineer with a passion for advancing the field of Machine Learning. My expertise lies in taking projects from ideation through research and development to successful deployment on various cloud infrastructures and architectures. Throughout my experience, I have spearheaded numerous ML initiatives, ranging from proof of concepts for client initiation calls to establishing new capabilities and deploying solutions on AWS and GCP clouds. My technical proficiency spans across multiple facets of ML, including Computer Vision, Audio Signal Processing, and Natural Language Processing. Specifically, I have delivered successful projects in crowd density estimation, vehicle license plate detection and recognition, object detection and recognition, face detection and recognition, face swapping, voice activity detection, audio source separation, speaker diarization, and natural language to python code generation. One of my key strengths lies in my ability to write developer-friendly code that not only reduces redundancies and increases code understandability but also enhances code reusability. With a keen eye for detail and a dedication to delivering high-quality results, I am confident in my ability to drive impactful solutions that make a difference.