~/pooja - zsh - 80×24

whoami

Pooja Mahapatra

Software engineer (ML). 10+ years at Expedia and Zalando building ML pipelines, feature-serving endpoints and reranking services for search ranking and fraud detection at scale. Now building LLM-powered products end to end.

cat status.yaml

role:
software engineer, machine learning
experience:
10+ years
location:
London, UK
open_to:
ML / AI engineering roles
resume:
resume_uk.pdf

git log --career

  1. 2026 (HEAD -> main) Freelancer - building LLM-powered products
    • ship consumer products with AI-assisted development and structured LLM evals
  2. 2022-2025 Expedia Group - Software Engineer (ML), Search Ranking
    • Spark ML pipelines on Databricks to train and score ranking models, with feature engineering from raw event data
    • second-pass reranking in the service layer, feature-serving endpoints, YAML-driven signal selection
    • pipeline runtime 15h → 2h by parallelising jobs with Databricks Workflows
    • A/B experiments on model impact; Travel Ads in the ranking backend with real-time placement
    • data services ingesting millions of events/day; tuned the SQL behind ranking datasets
  3. 2020-2022 Zalando - Software Engineer (ML), Fraud & Risk
    • feature pipelines turning raw fraud signals into features for real-time risk scoring
    • ML-based post-processing to flag fraudulent invoices
    • scaled APIs handling 250M+ orders and payments with low-latency fraud checks
    • GDPR compliance across the risk platform
  4. 2015-2020 Earlier - Software Engineer
    • Hotels.com: personalised pricing APIs, Grafana monitoring pipelines
    • Profectus Solutions: 0→1 pricing intelligence platform, led 8 engineers
    • Infosys: REST APIs with Kafka event streaming for Apple Concierge Analytics

ls -l ~/projects

cat requirements.txt

ping pooja

poojamhptr@gmail.com
linkedin github