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Sujit Singh
Engineering Director specializing in backend & data platforms for enterprise SaaS and cybersecurity
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Backend/data engineering player-coach on a UEBA cloud security analytics platform who standardized MLOps and detection development for 180+ detections, cutting ship time from 6–7 weeks to ~3 weeks while reducing false positives. Proven at operating large-scale streaming + Spark systems (200K+ events/sec, 100+ TB/day), driving major reliability/cost improvements, and leading incident response and team execution through GA.
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Key Strengths
- Standardized MLOps/detection lifecycle for 180+ streaming and batch (Spark ML) detections; cut time-to-ship from 6–7 weeks to ~3 weeks
- Scaled high-throughput data platform (200K+ events/sec, 100+ TB/day) and reduced event drop rate from ~3% to ~0.02% via Spark tuning and capacity work
- Reduced false positives and improved detection consistency by introducing design templates, stricter code reviews, telemetry validation, and test-mode rollout
- Prevented silent detection breakages by addressing schema drift with validation checks and version discipline
- Player-coach leadership (60% leadership / 40% hands-on) with deep involvement in architecture, critical PRs, and post-incident deep dives
- Led end-to-end production incident response for streaming lag across tenants; improved autoscaling metrics/triggers and added guardrail alerts and load tests to prevent recurrence
- Operational people management: structured bi-weekly 1:1s, documented goals/feedback, and 30-60-90 underperformance plans that improved reliability and on-time delivery
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