About

Vaibhav Hiwase is a highly skilled and adaptable professional with a passion for natural language processing and statistics learning. As a Senior Consultant (Data Scientist) at Celebal Technologies, he has 4+ years of experience in computer vision and natural language processing projects and has published two research papers. Vaibhav is a 2018 Master of Technology graduate in Computer Science & Engineering from Rashtrasant Tukadoji Maharaj Nagpur University. He is a top performer in Information Retrieval and Compiler Challenges for High-Performance Architecture and shines in engineering, problem-solving, and thinking outside the box to explore solutions. He loves to code in Python and is the author of the open-source matrix-rotation and path-traveller Python packages in the Python Package Index (PyPI). At Celebal Technologies, Vaibhav is responsible for research, engineering, development, architecture designing, infrastructure setup, network connectivity, CI/CD, GitHub Action, application monitoring, and more. He has created a proprietary solution for payslip forgery detection using metadata and pixel-level analysis and detect forgery from additional layer creation as well as incremental updates in editable PDFs. He has also set up Azure landscape creating infrastructure, including Virtual Network, Subnet, API Management, Virtual Machine, Key Vault, Storage Account, Application Insight, Azure Container Registry, Azure Container App, and Kubernetes Service. Vaibhav has expertise in statistical skills with good hands-on experience in data analysis and manipulation tools like pandas and Python regular expressions. He has worked on document digitization with optical character recognition, developed solutions for document similarity using TF-IDF, and handled complex document layout by training a deep learning model for key information extraction from documents using improved graph learning-convolutional networks for receipts and KYC documents with above 94% accuracy. Vaibhav is proficient in a wide range of technologies, including Data Science, Azure, Research Scientist, AI, Python, Deep Learning, NLP, Kubernetes, Infra, Flask, Information Retrieval, Docker, ML, CI/CD, Computer Vision, Frontend, Backend, Pandas, Redis, Software Engineer, and Integration. He is open to opportunities in machine learning, artificial intelligence, deep learning, data science, and professional relationship.