Kishan Lal P T
About Kishan Lal P T
Kishan Lal P T is an AI/ML Engineer with a Master's degree in Computer Applications from AWH Engineering College. He has worked at various companies, including VensureHCM and PrismHR, focusing on machine learning projects such as automation of expense receipts and tax file processing.
Work at PrismHR
Kishan Lal P T currently serves as an AI/ML Engineer at PrismHR, a position he has held since 2022. His role is based in Noida, Uttar Pradesh, India, and he works remotely. At PrismHR, he focuses on developing and implementing machine learning solutions that enhance the company's software offerings.
Previous Experience in AI and Machine Learning
Prior to his current role, Kishan worked as an AI/ML Engineer at VensureHCM from 2022 to 2023 for nine months. He also gained experience at Gritstone Technologies, where he worked for one year as an AI/ML Engineer from 2021 to 2022. His earlier experience includes a nine-month internship at ipsr solutions ltd as a Machine Learning Intern from 2020 to 2021.
Education and Expertise
Kishan completed his Master of Computer Applications (MCA) at AWH Engineering College, Kuttikattoor, from 2018 to 2020. He also holds a Bachelor of Computer Applications (BCA) degree from Mahatma Gandhi University, which he obtained from 2014 to 2017. His educational background provides a strong foundation in computer science and machine learning.
Key Projects and Implementations
Kishan has led significant projects, including the Venex Bills Automation project, which automated the extraction and categorization of employee expense receipts using machine learning techniques and Azure services. He also implemented Named Entity Recognition (NER) systems in the SBC Automation project for extracting details from insurance documents. Additionally, he developed a system for IRS tax file automation, ensuring high accuracy in data extraction from multi-page PDF documents.
Technical Skills and Tools
Kishan has experience with various technologies and tools in his work. He has utilized Azure OpenAI and Document Intelligence services to enhance automation systems. In the IRS tax file automation project, he employed AWS Textract for efficient data extraction, showcasing his proficiency in cloud-based solutions and machine learning applications.