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Ashutosh Srivastava
Senior Engineering Manager specializing in AI platforms and cloud-native backend systems
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About
Player-coach engineering leader who stayed hands-on (coding/reviews) while leading delivery, including designing an event-driven AI workflow engine with explicit state modeling and robust retries. Built near real-time enterprise analytics for campaign measurement and drove reliability/process improvements (observability, incident runbooks, release management). Introduced lightweight CI/CD and automated testing to cut release time by ~40% while maintaining quality.
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Key Strengths
- Player-coach leadership with ~50/50 split between engineering and management
- Designed and implemented an event-driven AI workflow engine with idempotent, independently retryable steps
- Strong reliability engineering: improved observability, resolved high-severity production issues, improved deployment safety
- Built near real-time analytics data pipeline and APIs for campaign measurement; owned design and production rollout debugging
- Effective incident ownership end-to-end; implemented runbooks and release/config tracking to prevent recurrence
- Process optimization in high-growth environment: introduced lightweight CI/CD + automated tests; reduced release time by 40%
- Collaborative, high-signal code review culture (small PRs, actionable feedback, pairing on complex sections)
- People management with structured 1:1s, growth plans, and coaching; contributed to promotions and faster delivery
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