Shayon Banerjee

About

Early-career AI & data engineer: Python services, SQL, scikit-learn or PyTorch, and first production or GenAI projects (RAG, agents, evaluation). Comfortable in agile teams; open to hybrid or remote roles across the United States.

Experience

• Junior ML / data engineer
  Product or services company · 2023 — present

  Built Python APIs and batch jobs; contributed features to an ML or analytics product. Stack: SQL, scikit-learn or PyTorch, Git, Docker — replace with your employer, metrics, and repo links.

• Data & AI project (bootcamp, freelance, or open source)
  Personal / client project · 2022 — 2023

  End-to-end mini project: dataset → model or RAG assistant → simple deployment. Highlight one measurable outcome (latency, accuracy, users, or cost saved).

AI projects

• Personal AI / data project

  POC or internal tool with Python, SQL, scikit-learn, Git: ML pipeline, RAG assistant, automation, or analytics. GitHub or demo link when possible.

  Ganloss recruiters often review projects before reaching out.