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Mandar Sharadchandra Thengrey
Junior Software Engineer specializing in backend automation and AI-integrated systems
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About
FinTech engineer who has owned customer-facing onboarding deployments end-to-end, combining React/Node.js application development with workflow automation and post-launch operational metrics. They also implemented an LLM-driven onboarding assistant using contextual prompts and backend orchestration, and showed practical production experience debugging non-deterministic AI behavior caused by stale pipeline context.
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Key Strengths
- Owned end-to-end deployment of onboarding platform from discovery through post-launch stabilization
- Built centralized onboarding system with React frontend and Node.js backend
- Drove stakeholder alignment through regular syncs, demos, and feedback loops
- Improved onboarding completion time by about 30%
- Automated manual onboarding steps and reduced manual process touchpoints
- Tracked operational, adoption, and system performance metrics post-launch
- Implemented LLM-powered contextual onboarding guidance in production
- Designed backend orchestration layer using user state and workflow context for next-best-action responses
- Debugged production AI inconsistency issues by tracing stale or missing context in data pipelines
- Added validation, fallback logic, and monitoring to improve reliability of AI-driven workflows
- Built validation and transformation layers to convert messy inputs into standardized backend workflows
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