I design and implement intelligent backend systems that transform raw data into actionable insight through advanced analytics, AI pipelines, and secure data flows. With a background in AI engineering and backend architecture, I help companies integrate predictive intelligence into their platforms using Python, Scikit-learn, Pandas, and modern data stacks.
Whether you're building a healthcare insights dashboard, a financial risk scoring engine, or an internal BI system — I deliver scalable, secure, and fully automated pipelines with AI logic embedded at the core.
I've built behavioral analytics systems for trading platforms, predictive health models using EHR data, and cross-platform dashboards for real-time decision-making.
AI model integration (risk scoring, churn prediction, NLP sentiment, etc.)
Data pipeline engineering with ETL/ELT using Python (Pandas, NumPy)
Real-time analytics dashboards (via REST API or direct frontend feed)
EHR/Salesforce/PostgreSQL integrations for healthcare reporting
Custom-built analytics APIs with FastAPI + OAuth2 auth
Model deployment with logging, version control, and rollback support
Full documentation, endpoint testing, and monitoring hooks included