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Software Engineer
Salesforce•  June 2020 - Present
As a founding engineer for Salesforce's generative AI unstructured data services team, you developed semantic search capabilities using chunking and vector embedding to deliver personalized, contextually grounded responses based on customer metadata. Designed and implemented CRUD APIs for a retrieval engine, ensuring its extensibility for future data types, and leveraged various technologies including Microsoft's E5 model, Milvus vector DB, and Apache Iceberg for retrieval augmented generation (RAG). Also enhanced the Intelligent Document Reader (IDR) by implementing transaction logic for atomicity, supporting scratch orgs, delivering data model changes, and leading UX modularity discussions. Additionally, explored AWS and Apache Lucene for cost-effective key-phrase extraction and contributed to hackathons focused on NLP solutions and mobile-based remote development.
Software Engineer
Fidelity investments•  June 2019 - July 2019
Intern. - Worked on the machine learning project "OBI Server Log Analyser & Health Prediction Using Machine Learning". The project was focused on predicting the health status of Oracle Business Intelligence (OBI) server - Tested different ML models including K-Means clustering, Support Vector Machines (SVMs), Decision Trees and Random Forests for the same and came up with an optimal solution using evaluation matrices Languages/Tools/Frameworks: Numpy, Pandas, Matplotlib, Seaborn, Re, Tkinter, Win32com.client, Jupyter Notebook with Conda environment, PyCharm Community Edition
Education
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