Master's Student in Applied Data Science @ University of Chicago
Aspiring Data Scientist | Machine Learning Engineer | LLM Enthusiast
Currently in Chicago | Fluent in Python, SQL, and cloud-based deployment
I am passionate about transforming data into strategic decisions and scalable systems. With cross-industry experience—from automotive forecasting to SaaS product analytics, I build end-to-end machine learning pipelines, deploy predictive models in production, and translate data insights into business outcomes.
Currently, I’m exploring Large Language Models (LLMs) and multimodal learning, integrating NLP pipelines with real-world applications such as recommendation systems and customer behavior modeling.
- Fine-tuning open-source LLMs for Medical bilingual Q&A and enterprise knowledge retrieval
- Building LangChain-powered pipelines integrated with vector databases
