Skills

Where I sit on the stack.

Data engineering and full-stack software, end to end: ingestion, warehousing, and orchestration, then the APIs, ML, and interfaces that turn it into something people use.

Data Engineering

Ingest · warehouse · orchestrate

Production data pipelines: API and database ingestion, dbt modeling on Snowflake, and Airflow orchestration.

Python
dbt
Airflow
Snowflake
Pandas
PostgreSQL

Cloud & Orchestration

Ship · observe · scale

The rails data runs on: Azure, containerized jobs, and reliable build-test-ship loops.

Azure
Docker
GitHub
Git
Vercel
MLflow

AI / Machine Learning

Modeling · training · inference

The analytics layer on top of the pipeline: from feature engineering to live inference and evaluation.

PyTorch
Scikit-learn
XGBoost
LangChain
Ollama
Jupyter

Full-Stack & Interfaces

APIs · apps · dashboards

The product layer: authenticated FastAPI services behind Next.js/React apps, plus the dashboards and reporting stakeholders live in.

React
Next.js
TypeScript
Power BI
Plotly
Tableau

Automation & Workflows

Trigger · integrate · automate

The glue between systems: event-driven workflows, API integrations, scheduled jobs, and browser testing that take manual steps out of the loop.

n8n
Zapier
Power Automate
GitHub Actions
Postman
Selenium

Also Worked With

22 TOOLS

FastAPIREST APIsSQLAlchemyWebhooksJavaC++LinuxTensorFlowFAISSGroqHuggingFaceLSTMLightGBMCatBoostKMeansPCAt-SNEUMAPMonte CarloSeabornMatplotlibExcel