Stress-Test RAG in Biomedical QA
End-to-end pipeline combining dense retrieval, re-ranking, and LLaMA-3-based answer generation for BioASQ.
Hi, I’m Tanushree 👋
AI Researcher & Quantitative Engineer. I build retrieval-augmented generation (RAG) pipelines, deep reinforcement learning trading systems, and autonomous research agents.
About Me
MSc Data Science & AI candidate with a strong foundation in statistical modeling and systems engineering. Aspiring PhD researcher focused on the intersection of deep learning and robust information retrieval.
Featured Projects
Kalshi Algo Trading & Arbitrage
High-frequency trading system in Rust with Deep Reinforcement Learning (DQN) in PyTorch to execute short-term arbitrage.
Agentic Web-Retrieval Engine
Autonomous research agent performing multi-step workflows using instruction-tuned LLMs and web retrieval.
Publications & Research
Cyberbullying Detection via NLP
SVM-based NLP detection system on a 24k+ tweet dataset, achieving superior binary classification performance.
GenAI Impact on Learning
Quantitative study applying correlation, regression, and mediation analysis on generative AI influence on students.
Skills
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Experience
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Education
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Blog / Articles
Gross Domestic Product (GDP) — Analysis
Comparing developed vs developing nations, key indicators, and a simple linear regression model.
Resume / CV
Download my full resume to view my background, complete experience, and technical projects in detail.
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