I'm a Data Scientist with strong foundations in statistics, machine learning, and applied AI.
I work on problems that require combining data, models, and systems to deliver reliable, scalable, and interpretable solutions.

My interests include modern machine learning, large language models (LLMs), and end-to-end ML workflows — from data preparation and modeling to evaluation and deployment-ready experimentation.

• 📊 Applied Data Science
  Exploratory analysis, statistical modeling, experimentation, and evaluation

• 🤖 Machine Learning & Deep Learning
  Supervised & unsupervised learning, neural networks, model validation, and optimization

• 🧠 Large Language Models (LLMs)
  Prompting, fine-tuning concepts, evaluation, and LLM-powered systems

• 🔍 Retrieval-Augmented Generation (RAG)
  Embeddings, vector search, retrieval pipelines, and grounding LLM outputs

• 🧱 ML Systems & Pipelines
  Reproducible experiments, data pipelines, and scalable ML workflows

• M.S. Data Science & Analytics
• Graduate Certificate – Geographic Information Systems (GIS)
• Full-Stack Software Engineering Bootcamp
• B.S. Geological Engineering

🚧 Currently curating flagship projects that highlight:

• End-to-end ML & GenAI workflows
• LLM evaluation and retrieval systems
• Clean, testable, and scalable codebases

More coming soon.