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Sumer Joshi
Senior Full-Stack Engineer specializing in backend systems and AI applications
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About
Built a chatbot for a learning management system during a Deep Atlas bootcamp by mapping an end-to-end RAG architecture (document ingestion, Qdrant-based retrieval scoring, and LLM response synthesis). Previously at Rally Health/UnitedHealthcare, diagnosed load-related memory spikes with JMeter and improved stability by migrating caching from Guava to Redis, and also supported adoption through UI A/B testing in a technical marketing engineer rotation.
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Key Strengths
- Designed end-to-end RAG chatbot workflow from user request through retrieval and LLM synthesis
- Implemented retrieval relevance scoring using vector DB scores (Qdrant) to filter/return higher-quality results
- Real-time performance diagnosis using load testing (JMeter) and root-cause analysis
- Resolved production stability issue by replacing Guava Cache with Redis after identifying memory spikes under load
- Adapts technical demos/workshops to audience level; uses demo-first approach with deep Q&A
- Improved product adoption via UI A/B testing and iterative design changes in a healthcare context
Reference Highlights
- Eager to learn
- Takes time to understand documentation and systems
- Collaborates well with senior engineers
- Steady improvement based on feedback
- Proactively identifies potential issues
- Reliable
- Detail-oriented
- Good communicator
- Asks relevant questions and contributes ideas
- Insightful during pairing sessions (peer compliments)
- Adaptable to shifting priorities
- Takes ownership and drives investigations to resolution
- Maintains effective communication with external stakeholders
- Follows up to ensure issues remain resolved
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Senior Full-Stack AI Engineer specializing in LLM/RAG and production ML platforms
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