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Meghana Divve
Mid-level Full-Stack Software Engineer specializing in cloud-native enterprise applications
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About
Built and launched a production internal AI support assistant at CompuCom, focused on reducing time spent searching across systems by combining retrieval, internal tool use, and grounded LLM responses. Stands out for pragmatic zero-to-one execution: scoped the product in phases, prioritized safety over premature autonomy, and iterated using real user feedback to improve relevance, usability, latency, and cost.
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Key Strengths
- Shipped production AI support agent used by internal operations teams
- Strong RAG and tool-using agent architecture design
- Improved retrieval quality through chunking and ranking iteration
- Uses real user feedback and drop-off data to drive product improvements
- Owns end-to-end features across web UI and backend services
- Designed for reliability with retries, fallbacks, transactions, and duplicate prevention
- Performance-minded implementation with lightweight logic and batched writes
- Improved LLM response quality with structured prompting and grounding rules
- Reduced latency by 20-30% for common queries
- Pragmatic zero-to-one scoping and phased rollout under ambiguity
- Cross-functional alignment with operations, product, design, security, and GTM
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