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Anu Sinha

Anu Sinha

AI Engineer with 2+ years of production experience

Talent
NC, USMember since August 15, 2026
AWSEC2EMRS3LambdaGCPStructured loggingTableau dashboardsSlack APIStructured alertingTerraform
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AWSEC2EMRS3Lambda

About

AI Engineer with 2+ years of production experience building automated data pipelines, agentic workflows, and scoring/alerting systems that turn raw operational data into real-time, actionable signal. Skilled in designing multi-step reasoning and automation pipelines, structured alerting, and observability infrastructure that eliminate manual work and give stakeholders self-service visibility into system and pipeline performance. Experienced translating business and stakeholder requirements into technical specs, building evals that measure output quality and catch regressions, and using coding assistants like Claude to move quickly on production data and automation systems.

Experience

Machine Learning Engineer - Ancestry

(2025-06)

  • Engineered an end-to-end automation pipeline that transforms raw, noisy log data from 100+ daily AWS EMR jobs into structured signal and automated failure classification, cutting manual triage effort by 40–60%.
  • Designed reasoning chains for behavioral pattern detection and root-cause analysis, and built the delivery surface that routed structured, actionable alerts to engineering stakeholders via Slack. This gave teams self-service visibility into system health without digging through raw logs.
  • Built evaluation and observability infrastructure, including structured logging and system-health Tableau dashboards, improving failure-detection latency by 30–40%.

Machine Learning Engineer - Sky IT / GBCS Group

(2024-01 - 2024-11)

  • Owned a production conversational AI agent (AeroGPT) end-to-end: architected the Mistral LLM + RAG backend and integrations, translating stakeholder requirements into technical specs and shipping iterative feature updates.
  • Drove the full lifecycle — from data and requirements through consumer-scale deployment — for a TensorFlow audio classification model shipped to a production Android app (Google Play Store, Komet) on GCP, achieving a 12% accuracy improvement through feature engineering.

Education

MS - Artificial Intelligence - University of Texas, Austin (2026-05)

BS - Computer Science - University of Colorado, Boulder (2023)

Skills

AI Engineer with 2+ years of production experience

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