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Prashant Salunke
Mid-Level Software Development Engineer specializing in full-stack and cloud-native systems
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About
Backend engineer who has shipped production LLM-powered features, including an AI-assisted developer tool on AWS (Spring Boot) and a blog platform capability using embeddings + Elasticsearch for semantic retrieval and LLM-generated summaries/recommendations. Demonstrates practical tradeoff management (quality/latency/cost), guardrails to reduce hallucinations, and evaluation-driven iteration using real user queries and observability via ELK.
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Key Strengths
- Shipped production LLM features end-to-end (build, deploy, iterate)
- Balances LLM quality vs latency vs API cost via prompt optimization and caching
- Built RAG workflow with embeddings + Elasticsearch semantic retrieval
- Implemented guardrails (similarity thresholds, prompt constraints, output validation, fallbacks) to reduce hallucinations
- Designed evaluation loop using real user queries and manual review to drive retrieval pipeline improvements
- Built scalable ingestion/indexing pipeline with validation checks and ELK-based observability
- Backend and distributed systems engineering (Java/Spring Boot)
- Designing reliable service-to-service communication using REST and Kafka
- Containerized deployment with Docker and Kubernetes
- Building CI/CD pipelines (GitHub Actions, Jenkins, GitLab) for build/test/deploy
- Debugging and optimizing time-sensitive backend systems
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