DevOps Solution Engineer · Data Platform Architecture · IaC · SDLC
Tech Stack — Python Rust Pandas Scikit-Learn FastAPI PostgreSQL AWS Azure Kubernetes Terraform CI/CD IaC SDLC
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.
Technical: Design and implement scalable data platforms using modern DevOps principles. Build end-to-end ML pipelines with automated testing and deployment.
Business: Deliver measurable ROI through optimized data workflows — faster time-to-insight, reduced operational overhead, improved model accuracy.
Organizational: Mentor engineering teams on SDLC best practices, establish CI/CD standards, and drive adoption of infrastructure-as-code methodologies.
Cloud & Infrastructure: Azure infrastructure as code using Terraform and Bicep. Deploy and manage Kubernetes clusters with ArgoCD for GitOps workflows.
CI/CD & SDLC: Automated pipelines with GitHub Actions and Azure DevOps. Enforce quality gates through static analysis, security scanning, and progressive delivery.
Platform Engineering: Build internal developer platforms focused on self-service, observability, and reliability. Implement monitoring stacks (Prometheus, Grafana) and centralized logging.
IaC & Automation: Full environment lifecycle management — from provisioning to decommissioning — using version-controlled Terraform modules and policy-as-code with OPA.
| 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.
Active contributor to the Gastown community — a network of builders, operators, and problem-solvers focused on infrastructure, automation, and real-world systems. Collaborate on open-source tooling, share operational patterns, and solve hard engineering problems together.
I am currently open to new opportunities where I can contribute to complex infrastructure and data platform projects. My expertise spans DevOps, cloud architecture, IaC, and building production ML systems. If you are looking for a hands-on engineer who can design, build, and operate reliable systems at scale, please reach out.
Built with GitHub Pages · Hosted on Fly.io