Ashutosh Srivastava

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.

Experience

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