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Reshwanth Gunda
Mid-level Backend Engineer specializing in cloud and enterprise Python systems
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About
Full-stack product engineer with hands-on ownership of both real-time product infrastructure and production AI systems. They shipped a notification platform that materially improved engagement and repeat purchases, and also built key layers of an AI support agent with strong reliability controls and user-centered UX improvements that boosted adoption.
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Key Strengths
- Owned full-stack real-time notification system in production
- Strong React/TypeScript and Node.js backend integration
- Designed scalable WebSocket architecture with Redis Pub/Sub
- Built reliability safeguards with dead-letter queue and persistence fallback
- Drove measurable product impact: notification open rate 12% to 74%
- Improved business outcomes: 8% increase in repeat purchases within 90 days
- Reduced support tickets related to missed updates
- Built AI support agent tool-calling and retrieval pipeline
- Implemented production AI quality controls with confidence thresholds and human-in-the-loop review
- Used metrics to monitor hallucination, auto-resolution, and escalation rates
- Zero-to-one product execution under ambiguity
- Fast cross-functional delivery with product, design, and stakeholders
- Turned AI outputs into intuitive UX for non-technical users
- Improved AI feature adoption by 60% through structured summaries and confidence states
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