ML Engineer with a strong foundation in statistics and machine learning. Also, I have some experience with full stack development and systems programming.
I'm just trying to build a healthier world, one line of code at a time 🌱
- slm-json-benchmark – Benchmarking study of JSON extraction by small language models (local inference)
- emo-classifier – Image classification model for emotion detection
- Diabetes Regression Models – Predictive system using ensemble methods
- A/B Testing with t-Tests – Custom hypothesis testing program built from scratch
- Sentiment Analysis Pipeline – Social media monitoring with Reddit API + OpenAI
- Email Automation Bot – Eliminated 5+ hours/week of manual work
Languages: Python, C++, JavaScript, R, SQL
Mathematics: Statistical Inference, Regression Analysis, Probability Theory, Linear Algebra, Statistical Learning
ML/Data: PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, NLTK, Pydicom
Web: HTML, CSS, JavaScript, React, Node.js, D3, Flask
LLMs: OpenAI GPT, Anthropic Claude
Tools: Git, Docker, REST APIs