Being an AI/ML developer, I've had the privilege to extensively work on various models such as Legalbert, Pegasus, and LongLM - which I fine-tuned specifically for industries like law domain. These experiences have given me an in-depth understanding of the Whisper model's architecture and its fine-tuning process. With this particular project, the proficiency I've built over the years of working on language models would definitely come in handy.
I not only have a strong grasp on the theory behind transformers but also know how to implement them effectively in practice. From building custom models for object classification using YOLO during its early stages to training and fine-tuning different types of models for text, image, and now even voice, I believe I tick all the boxes that you seek.
Moreover, as an AI/ML enthusiast, I have always followed the latest advancements in the field - including OpenAI's Whisper model. With this passion-driven mindset and my relevant skills, I can provide you detailed justifications of different model-selection choices like fine-tuning or even building from scratch. Together we can strategize optimized data pre-processing methods like feature normalization and padding for your dialect-specific dataset. Let's connect and discuss your project's specifics comprehensively.