I build end-to-end AI systems from data processing to API delivery. With expertise in Python, machine learning, and backend development, I create solutions that transform complex data into actionable insights through intelligent applications.
🔹 Experienced in ML model deployment, from research to production-ready APIs
🔹 Specialized in natural language processing, predictive analytics, and data engineering
🔹 Passionate about building systems that solve real-world problems with AI
- Languages: Python, SQL, JavaScript, Bash
- Machine Learning: scikit-learn, TensorFlow, PyTorch, H2O, TPOT, AutoKeras
- Data Engineering: Pandas, NumPy, ETL Pipelines, SQL Databases
- Web Development: Flask, FastAPI, API Design
- Natural Language Processing: LLM Integration, Semantic Analysis, Text Classification
- MLOps & Deployment: Model Serving, API Development, Performance Monitoring
- Data Processing: Feature Engineering, Statistical Analysis, Visualization
ML-powered vineyard suitability platform leveraging climate and historical data to predict optimal grape varieties. Built with:
- Flask web API serving an H2O AutoML model
- Complex data pipeline integrating multiple weather and geographic APIs
- End-to-end architecture from data collection to prediction delivery
Comprehensive analysis for bikeshare usage patterns using:
- Custom SQL statistical functions for advanced analytics
- ETL pipeline processing 196,000+ trips
- Interactive Tableau dashboards visualizing user behavior
Financial news analysis tool using both cloud and local LLMs to:
- Extract investment sentiment and market insights
- Generate comprehensive market summaries
- Support multi-language analysis with custom prompt engineering
MTG deck optimization system utilizing:
- Semantic card analysis with embedding-based clustering
- Strategic pattern detection through unsupervised learning
- Dynamic synergy identification without hardcoded game rules
Environmental health prediction tool that:
- Forecasts disease outbreak risk using geospatial data
- Integrates temporal and environmental factors through ML
- Creates actionable public health insights with advanced visualization
Aviation data intelligence platform featuring:
- Advanced SQL analysis of flight patterns and airline performance
- Multi-dimensional trend identification across flight volumes, delays, and cancellations
- Investment-focused data visualization using Tableau for strategic decision support
Fitness product optimization system that:
- Transforms Fitbit user data into actionable product insights
- Correlates activity patterns with health metrics through statistical analysis
- Delivers strategic recommendations based on identified user segments
🔹 Machine Learning Engineering & Data Science roles where I can build intelligent systems that drive decisions
🔹 Collaborative teams focused on developing production ML systems with measurable impact
🔹 Opportunities to work on challenging problems at the intersection of data, ML, and software engineering