Experience

Griptape

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Software Engineer, ML

  • Jul 2023 - Present

  Los Angeles, California, United States Implementing vector store database drivers for MongoDB, Redis and OpenSearch with read/write and search latencies below 1.2s, to efficiently store word embeddings from machine learning models and perform vector search similarity. Developing tooling for Large Language Models (LLMs) to enhance interactions with Google services such as Drive, Docs, Sheets, and Gmail. These tools incorporate functionalities for listing, uploading, downloading, sharing files, as well as real-time editing of… Show more Implementing vector store database drivers for MongoDB, Redis and OpenSearch with read/write and search latencies below 1.2s, to efficiently store word embeddings from machine learning models and perform vector search similarity. Developing tooling for Large Language Models (LLMs) to enhance interactions with Google services such as Drive, Docs, Sheets, and Gmail. These tools incorporate functionalities for listing, uploading, downloading, sharing files, as well as real-time editing of documents and sheets. Conducting comprehensive testing (unit and integration) with 100% code coverage, to ensure tool robustness and flawlessness. Additionally, curating detailed documentation for these tools in alignment with mkdocs standards. Integrating language model APIs with Griptape agents, which facilitates the automated generation and optimization of natural language prompts. This ensures real-time response adaptation and improving the efficiency of prompt engineering tasks like summarization, extraction, and completion. Show less



University of Southern California - Marshall School of Business

• Graduate Research Assistant

  • Oct 2022 - May 2023

  Los Angeles, California, United States Designed and led NLP research that performs sentiment analysis and topic modeling on customer reviews using advanced deep learning models and techniques, resulting in the extraction of valuable insights. Contributed to a study comparing the performance of multimodal and unimodal models by building a multitask text convoluted neural network (CNN) that outperformed separate CNNs for each task.

• Graduate Research Assistant

  • Oct 2022 - Feb 2023

  Los Angeles, California, United States Research on product launch prediction using a start-of-the-art capsule neural networks model with dynamic routing.



Hornbill Labs

• India
• IT Services and IT Consulting
• 1 - 100 Employee

• AI and Data Science Intern

  • Sep 2021 - Nov 2021

  Bengaluru, Karnataka, India Conducted research on how Machine Learning and Data Science can improve Supply Chain Management. Utilized SAP Enterprise Resource Planning and Python to integrate Machine Learning and ETL pipelines in real-time projects.



Lexalytics, Inc.

• United States

• Software Intern

  • Jun 2020 - Aug 2020

  State College, PA, United States Rectified anomalies in the output for the Machine Learning model used for converting PDF documents to JSON output by refactoring 70 lines of technical debt for the purpose of Natural Language Processing. Leveraged Docker containers to increase the performance and portability of applications.

• Software Intern

  • Jun 2019 - Aug 2019

  Greater Boston Area Developed REST API documentation on the web using Java Spring Framework and Swagger UI/UX properties. Increased data graph efficiency on the data analytics platform by 7% through unit testing with Python programming. Performed Named Entity Extraction for over 700 financial documents for NLP and data analytics prospects.



Wolken Software (Hiring in Silicon Valley and Bangalore)

• Software Intern

  • Jun 2016 - Jun 2016

  Bengaluru Area, India Worked on application development on Android applications using Android Studio.