Sidhee Hande

I am a Software Engineer, working at Infraclear Inc, a startup that aims to increase transparency in infrastructure data and revolutionize the way infrastructure projects are financed. My work mainly involves using Large Language Models and Generative AI to build applications. I take ownership of building services from research & scoping to development and deployment. I graduated with a Masters degree in Computer Science from Cornell University in May 2023. Some of the courses I took at Cornell are: 1. Foundations of Artificial Intelligence 2. Cloud Computing 3. Designing New Ventures 4. Machine Learning 5. Data Mining 6. The Structure of Information Networks In Spring 2023, I worked with the Cornell Legal Information Institute to conduct an Exploratory Data Analysis of US State Regulations Data. We successfully extracted definitions from state regulation data, and observed similarities in how terms were defined across all 50 US states. We also explored the use of Large Language Models in this definition extraction process and created knowledge graphs (RDF triples) to store the term-definition pairs extracted for all 50 states. In Fall 2022, I worked on another NLP project titled "Conversational Agent for Non Native Speakers" where we built a platform for non native speakers of English to interact with each other while performing a task which a researcher can monitor and analyze for participation. I am proficient in Python, Java, MySQL and MongoDB and have a keen interest in Machine Learning and Natural Language Processing. I have hands-on experience in Web Development using VueJS and Python's Flask Library as well as the Laravel Framework since I utilized these frameworks to build web applications when I worked at the AI Research and Development Center at Valuence Technologies, Japan as a Software Engineer. I've also learned Elementary Japanese as part of my Japanese Language Training at Valuence Technologies, Japan.