Abhishek Kumar
About Abhishek Kumar
Abhishek Kumar is a Senior NLP Lead at WhizAI, where he has worked since 2021. He has extensive experience in natural language processing, machine learning, and data extraction, with a strong educational background in computer science.
Current Role at WhizAI
Abhishek Kumar currently serves as a Senior NLP Lead at WhizAI, a position he has held since 2021. In this role, he is responsible for leading natural language processing initiatives and overseeing the development of NLP solutions. His expertise in large language models and machine learning techniques supports the company's objectives in advancing AI capabilities. Abhishek's work is based in the Pune Area, India.
Previous Experience at WhizAI
Abhishek Kumar has a notable history with WhizAI, having worked there in various capacities since 2018. He initially joined as an NLP Engineer, where he focused on developing NLP applications for two years. He then advanced to the role of NLP Lead from 2020 to 2021, where he further honed his skills in natural language processing before taking on his current senior position.
Professional Background
Before joining WhizAI, Abhishek Kumar worked as an NLP Development Consultant at RAGE Frameworks Inc. for ten months in 2017-2018. His experience encompasses a range of NLP tools and libraries, including Maxent parts of speech tagger and named entity recognizer. He has a strong foundation in programming languages and technologies such as JAVA, Python, Apache Tomcat, and Postgres, which he utilizes for NLP implementations.
Education and Qualifications
Abhishek Kumar holds a Bachelor of Engineering (BE) degree in Computer Science from Sinhgad Institute of Technology, Lonavla, where he studied from 2009 to 2013. He also studied Computer Engineering at Sinhagad Technical Education Society's College of Engineering during the same period. His educational background provides him with a solid foundation in computer science principles and practices.
NLP Skills and Expertise
Abhishek Kumar possesses extensive knowledge in various NLP techniques and methodologies. He specializes in both domain-specific and domain-independent NLP solutions. His skills include writing NLP rules, implementing custom solutions using BERT and T5 models, and utilizing advanced techniques such as word sense disambiguation and co-referencing. He is also familiar with ontology and natural language understanding concepts.