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Sumanth Gottipati
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
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About
At Delta Airlines, built and shipped a production LLM-powered semantic search/troubleshooting assistant over maintenance logs and operational documentation using OpenAI embeddings and a vector database. Implemented hybrid ranking, query enrichment, and structured filters to improve relevance ~35% while optimizing latency via caching and vector tuning. Also designed a scalable Kafka + AWS (Lambda/SQS) ingestion pipeline with strong reliability/observability and an eval loop using real engineer queries and human review.
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Key Strengths
- Owned and shipped production semantic search + troubleshooting assistant end-to-end (ingestion → embeddings/vector index → APIs → iteration)
- Improved search relevance ~35% via query preprocessing plus hybrid ranking and structured filters
- Designed LLM/RAG guardrails (retrieval grounding, similarity thresholds with fallback, structured prompts, input validation, monitoring)
- Built scalable, fault-tolerant event-driven pipeline on Kafka + AWS (Lambda/SQS) with idempotency, retries/backoff, and DLQs
- Established evaluation loop using real anonymized queries, human review, and regression testing to drive iterative improvements
- Balanced relevance vs latency/cost through caching and vector search tuning
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