Experience
My career path has been defined by a passion for pushing technological boundaries and delivering impactful solutions in Machine Learning, AI, and Software Development.
As you’ll discover, each role in my journey has been more than just a position—it’s been an opportunity to solve complex problems and drive meaningful technological advancements. From developing sophisticated financial prediction models at Marva.ai to engineering efficient ML pipelines at Knowledge Solutions India, and pioneering digital marketing strategies at Laugh Out Loud Ventures, each experience has built upon the last.
Most recently, during a research co-op, I analyzed reasoning and non-reasoning LLMs on proprietary financial data, producing insights that gained recognition across the industry—cited by The Wall Street Journal, Barron’s, CNBC, and The Financial Times.
I’m currently 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
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
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
ML Research Intern
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
SEO Analytics Intern
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