Innovative Generative AI Engineer with a deep background in AI, particularly vector databases, LLM frameworks,
and cloud deployments with prior experience in data engineering and SnowPro Core certified. Currently in FCAT AI
Incubator team at Fidelity Investments working on developing Gen AI solutions.

• Developed openAI text-embedding-ada-002 based entity identification model to identify company names and
their symbols from user search queries on Fidelity's Brokerage Platform which helped in providing relevant content
to users based on their search queries.
• Implemented and fine-tuned both open-source and paid LLM models, customizing solutions to meet specific project
requirements and performance goals.
• Developed Intelligent Routing Algorithm which routes Fidelity's clients issues tickets to associates intelligently
based on their past experience of handling tickets based on types and subtypes. It helped in reducing overall error
rate by more than 30 percent in handling the tickets.
• Developed Question Answering bot using Huggingface Sentence Transformer model utilizing it's semantic search
feature for the brokerage platform users.
• Chat With Data feature using Langchain's csv agent where any user can upload a csv file and ask questions from
their data in simple english language.
• Previously worked with People Analyticsteam and worked on multiple analytics projects in HR domain.
Analytics projects related to compensation, hiring, attrition, re-entry, VBO program, annual employee pulse survey,
workforce analytics.
• Experience in developing high quality modern data pipelines, warehousing, and reporting solutions. HR Data lake
in AWS (EMR, S3,IAM, Glue, EC2) with a Curated consumption layer in Snowflake database.
• Framework for handling large volumes of un/structured data using distributed processing engine Spark and
have extensive experience in Big data technologies

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