Building High-Throughput ML Inference Engines • Resilient MLOps Pipelines • Scalable Software Systems
GitHub Followers LinkedIn Email
I am an AI & Machine Learning Systems Engineer passionate about bridging the gap between ML research models and production-grade software engineering.
- 🧠 ML & Inference Systems: Specialized in designing sub-millisecond classification engines, Softmax probability calibration, and migrating ML workloads into standalone engines.
- ⚙️ MLOps & Infrastructure: Experienced in hardening MLflow experiment tracking servers, automated artifact validation, lineage visualization, and containerized workflows.
- 🗄️ Data & Performance Engineering: Expert in high-throughput SQLite transaction batching, data integrity reconciliation, and query optimization.
- 🛠️ Software Engineering: Crafting resilient, production-grade CLI tools and services using Python, Java 17, PHP, and SQL.
| Domain | Technologies & Tools |
|---|---|
| Core Languages | Python Java 17 PHP 8 SQL Bash C++ |
| ML & AI Systems | MLflow Snorkel Scikit-Learn Pandas NumPy Graphviz |
| Databases & Storage | SQLite MySQL PostgreSQL REST APIs |
| DevOps & Tooling | Docker Apptainer Git Apache Maven JUnit 5 Pytest Ruff |