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Umair Khokhar
Director-level Engineering Leader specializing in AI Platforms for Enterprise B2B SaaS
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About
Technical leader/player-coach who architected and shipped an end-to-end computer vision pricing system for a major North American auto seller, using Go + Ray + AWS SageMaker in a low-latency distributed inference architecture. Strong in production governance (logs/tracing/guardrails/AppSec), reliability incident ownership (DNS limits affecting 20% traffic), and measurable delivery acceleration (deployment cycle 16→4 days; delivery speed 5→2 days) through process optimization and AI-assisted enablement.
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Key Strengths
- End-to-end architecture ownership for production computer vision system (real-time vehicle price estimation)
- Built low-latency distributed inference pipeline using Go, Ray, and AWS SageMaker
- Established CI/CD and drove delivery via structured PR reviews with clear pillars (convention, performance, security, business requirements)
- Mentored engineers new to Go; improved code quality/performance (e.g., reduced memory footprint via pointer usage)
- Production reliability ownership: mitigated intermittent DNS failures impacting ~20% of traffic; implemented scaling, caching, and escalation workflow
- Improved deployment velocity from 16 days to 4 days using process-focused coaching and metrics
- Increased delivery speed from 5 days to 2 days by empowering teams and leveraging AI agents while maintaining quality
- Strong stakeholder management: translated ambiguous requests into scoped, productionized deliverables with defined 'done' criteria
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