Solution Engineer · Architecture & Data · Financial & Predictive AI
Tech Stack — Python Rust Pandas Scikit-Learn FastAPI PostgreSQL AWS Kubernetes
Infrastructure & AI engineer building high-throughput data pipelines and predictive systems. I write production code for data-intensive applications — ETL at scale, MLOps, and backend architecture.
Solve hard problems: ad-tech analytics → financial risk modeling → real-time systems.
| Project | Description |
|---|---|
AdMaven Data Engineering Python · ETL · Data Warehousing |
Robust ETL framework for high-volume ad-tech data. Automated ingestion, cleaning, schema normalization with recovery mechanisms. |
Time Twist Visualizer Rust · TUI · Git Architecture |
High-performance TUI visualizing Git commit history as an interactive graph. Memory-efficient terminal rendering. |
| Project | Description |
|---|---|
Altius Financial Analysis Python · Pandas · Financial Modeling |
Automated financial statement analysis. Ratio analysis, trend forecasting, solvency scoring from raw statements. |
Bank Product Prediction Scikit-Learn · Time-Series · ML |
Multivariate classification for banking products — temporal feature engineering for churn prediction. |
| PhantomReach | SoloSolve AI |
|---|---|
| AR Pose Detection (<100ms) | NLP Clustering for Support Tickets |
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AdMaven ETL Dashboard — Deployed on Fly.io
A minimal interface showing real-time pipeline status and ingestion metrics.
🔗 https://admaven-demo.fly.dev/
Built with FastAPI + async workers, PostgreSQL, Redis + Celery.
Built with GitHub Pages · Hosted on Fly.io