Summary

Data engineer focused on building reliable, privacy-aware systems for machine learning and AI products. Interested in software engineering practices that make data platforms easier to operate, evaluate, and evolve.

Core Strengths

  • Data Engineering
  • ML Infrastructure
  • Privacy Engineering
  • Reliable Data Systems
  • LLM Product Engineering
  • AI Systems

Experience Themes

Data Platform and Infrastructure

Production-grade data workflows

Designing pipelines, models, checks, and operational practices that help teams trust the data behind analytics, machine learning, and AI product decisions.

Privacy and Reliability

Systems built with constraints in mind

Building data flows that account for sensitive data, access boundaries, observability, and long-term maintenance from the start.

Interests

Software engineering, LLM product engineering, evaluation systems, data contracts, privacy-preserving analytics, and applied AI infrastructure.