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Pranav Gaikwad
Senior Software Engineer specializing in cloud-native platforms and supply chain systems
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About
Backend and platform engineering leader with deep supply chain and warehouse systems experience, including building a company-wide MDM platform across five ERP systems and supporting a 72-microservice warehouse execution environment. Particularly compelling for AI-forward logistics roles: currently pursuing an AI-focused PhD, has published supply chain AI research, and holds a utility patent for AI-driven predictive analysis.
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Key Strengths
- Owned end-to-end delivery of a company-wide MDM platform across five ERP systems
- Improved data ingestion and query efficiency by ~40%
- Reduced manual intervention by ~35% through automation
- Strong backend architecture tradeoff judgment for real-time systems
- Operated ~72 Java microservices on OpenShift for warehouse execution
- Maintained p99 latency under 200ms for real-time warehouse workflows
- Designed for high reliability with 99.9% uptime in production systems
- Led ambiguous 0-to-1 product development from stakeholder discovery to MVP launch
- Cut quote turnaround time from 2 days to 2 hours
- Led a team of 3 engineers using agile delivery
- Strong incident leadership in Sev-1 production outages
- Built observability and monitoring standards with Grafana and Datadog
- Applies rigorous testing strategy across unit, integration, E2E, and load testing
- AI-in-supply-chain expertise backed by PhD studies, publications, and a utility patent
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Experience
Education
Awards
Skills
Languages
Publications
3 publications
Memberships
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