Experience

My career has been a passion for pushing boundaries and delivering solutions in Machine Learning, AI, and Software Development.

Most recently, during a research co-op, I analyzed reasoning and non-reasoning LLMs on proprietary financial data that gained recognition across the industry—cited by The Wall Street Journal, Barron’s, CNBC, and The Financial Times.

I’m open to full-time roles and collaborations. If you have a project or idea that aligns with my skills and experience, I’d love to connect.

AI Engineer Intern

May 2025 - Aug 2025
United States

Key Responsibilities:

  • Developing a novel AI agent leveraging Graph RAG to tackle complex CFA-level financial tasks, significantly advancing analytical reasoning, information synthesis, and decision-support capabilities.
  • Built end-to-end Benchmark of 20+ LLMs for financial analysis using advanced metrics and prompt engineering; co-authored research deriving strategic insights for AI adoption in finance.
  • Implemented full-cycle research data workflows, from processing and cleaning extensive JSON datasets from LLM benchmarks to creating insightful visualizations and reports.

ML Engineer Intern

June 2023 - Aug 2023
India

Key Responsibilities:

  • Developed financial stock prediction models integrating advanced deep learning techniques
  • Enhanced buy/sell signal accuracy with hybrid Ichimoku Cloud strategies and refined LSTM models
  • Leveraged FinBERT and LLM-powered sentiment analysis, boosting stock prediction precision by 20%
  • Engineered real-time data visualizations using Plotly, Dash, and Streamlit for optimized insights
Knowledge Solutions

ML Research Intern

Sept 2021 - Nov 2021
India

Key Responsibilities:

  • Designed and deployed a scalable ML pipeline for insurance claim cost prediction
  • Optimized big data processing with PySpark and Dask, reducing computation time by 50%
  • Integrated AutoML for hyperparameter tuning, enhancing model performance
  • Developed interactive dashboards using Power BI and Streamlit for real-time insights
Laugh Out Loud Ventures

SEO Analytics Intern

Feb 2020 - March 2020
India

Key Responsibilities:

  • Led a sales team in transitioning to digital advertising during the pandemic
  • Optimized Google Ads and Facebook Ads strategies to drive higher conversions for educational courses
  • Utilized Google Analytics and CRM tools to refine targeting and improve campaign performance

Open Source Contributor

Jun 2024 - Now
GitHub contribution chart for prxshetty