Prashant Kikani is a distinguished Machine Learning Engineer at Instabase, where he leverages his extensive expertise in Natural Language Processing (NLP), Computer Vision, and Machine Learning (ML) to drive innovative solutions. His current focus is on harnessing the power of large language models (LLMs) like...
Prashant Kikani is a distinguished Machine Learning Engineer at Instabase, where he leverages his extensive expertise in Natural Language Processing (NLP), Computer Vision, and Machine Learning (ML) to drive innovative solutions. His current focus is on harnessing the power of large language models (LLMs) like GPT-4 to enhance document understanding and question answering capabilities across various formats, including CSVs, PDFs, images, and Excel files. This work not only showcases his technical acumen but also highlights his commitment to advancing the field of generative AI, as he develops systems that can intelligently interpret and interact with complex data.
In addition to his work with LLMs, Prashant has made significant strides in the realm of image fraud detection. He has tackled the challenging problem of identifying image forgery in critical identification documents such as passports and driver’s licenses. This project underscores his proficiency in applying machine learning techniques to real-world security challenges, ensuring the integrity of identity verification processes.
Prashant's impressive background is further complemented by his accolades in competitive data science, notably achieving a Master title in Kaggle competitions and ranking among the top 100 participants worldwide. His technical toolkit includes proficiency in Python, PyTorch, and PySpark, along with strong project management skills that enable him to effectively lead cross-functional teams. As he continues to push the boundaries of what is possible in machine learning and AI, Prashant Kikani remains a pivotal figure in the evolution of intelligent systems at Instabase.
