A brief introduction of what i love to do.
I'm a Data Scientist & ML Engineer passionate about building intelligent systems that solve real-world problems. I love transforming complex, messy data into production-ready AI solutions that drive measurable business impact.
- π Built RevenueBoost-ML: AI recommendation system with +40% revenue improvement
- π€ Developed MustangsAI: RAG-powered campus assistant for MSU Texas
- π₯ Created clinical trial enrollment prediction system
- π Built demand forecasting solution for small bakeries
- Machine Learning Engineering: End-to-end ML pipelines from data β model β deployment
- AI Systems: Recommendation engines, NLP, forecasting, computer vision
- Production MLOps: Docker, CI/CD, A/B testing, monitoring
- Business Impact: Optimizing for revenue, conversions, and real metrics
RevenueBoost-ML β
AI recommendation system with Multi-Armed Bandit optimization. +40% revenue improvement proven through A/B testing.
Python BERT FAISS Multi-Armed Bandit Docker MLOps
MustangsAI π
RAG-powered AI campus assistant for MSU Texas with document ingestion and intelligent query handling.
LangChain RAG NLP FastAPI Vector DB
FreshCast-AI π₯
Demand forecasting system for small bakeries using time-series analysis and ML.
Python Forecasting Time Series ML
"The best way to predict the future is to build it." - Alan Kay