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Anudeep Reddy Veerla
Mid-Level Software Engineer specializing in cloud-native microservices
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Built and shipped both a solo real-time multiplayer Spades game (TypeScript monorepo with shared client/server engine) and a production internal LLM-powered document Q&A tool for a SaaS company. Demonstrates strong RAG pipeline design (Pinecone + embeddings + reranking), rigorous eval/regression practices, and pragmatic data ingestion/observability work across Confluence, Notion, and messy PDFs/OCR—backed by clear metric improvements (P@1 61%→78%, escalations 40%→22%).
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Key Strengths
- Owned and shipped an end-to-end real-time multiplayer game solo (React + Node/Socket.io + shared TypeScript engine)
- Strong product iteration based on real user feedback (mobile responsiveness, UX turn indicators, social reactions)
- Designed and shipped a production internal LLM/RAG doc-QA system across Confluence/Notion/PDFs with citations and access controls
- Built rigorous LLM evaluation loops (150-question golden set, weekly reviews, regression gating thresholds)
- Improved retrieval quality with measurable impact (P@1 61%→78% after adding Cohere rerank)
- Drove adoption/value via metrics (escalation rate 40%→22% over two months)
- Built scalable ingestion/embedding pipeline with reliability + observability (per-source jobs, DLQ, alerts, anomaly detection)
- Reduced embedding costs significantly via incremental updates (content-hash diffing cut spend ~70%)
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