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Balakrishna Mylapilli
Mid-level AI/ML Engineer specializing in fraud detection and recommendation systems
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ML engineer with production experience at PayPal and Flipkart, owning high-scale systems across fraud detection, recommendations, and LLM tooling. Stands out for combining strong modeling judgment with practical platform engineering, delivering measurable impact like 22% fewer fraud false positives, 18% CTR lift, 40% less LLM manual review, and 30% faster redeployments.
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Key Strengths
- owned end-to-end production ML systems from experimentation through deployment and monitoring
- fraud detection expertise at PayPal scale
- reduced feature retrieval latency from 800ms to 200ms
- cut fraud false positives by 22% across 1M+ transactions/day
- built drift monitoring and automated retraining pipelines
- strong model selection judgment using cross-validation, AUC, and F1
- shipped LLM evaluation and safety framework on Vertex AI Gemini
- reduced manual review effort for LLM outputs by 40%
- translated recommendation research into production with pragmatic latency/cost tradeoffs
- improved Flipkart homepage CTR by 18% with neural collaborative filtering
- improved ML platform reliability and team velocity with MLflow
- reduced redeployment time by 30%
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