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Shaleen Srivastava
Junior Software Engineer specializing in cloud infrastructure and AI automation
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About
IBM engineer who shipped an LLM-powered knowledge transfer platform (Transition Engine) for federal contract handoffs, deployed on a production OpenShift cluster in AWS GovCloud with FedRAMP-aligned compliance and strict data-boundary constraints. Led retrieval strategy, prompt engineering, and production deployment (PostgreSQL/Milvus/Keycloak), driving a reported 50% reduction in contract transition ramp-up time and positioning the tool for revenue-critical federal deals.
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Key Strengths
- Shipped LLM/RAG knowledge-transfer platform in regulated federal environment (AWS GovCloud/OpenShift)
- Owned production deployment and full-stack platform configuration (PostgreSQL, Milvus, Keycloak) with security-focused secrets management
- Improved business outcomes: 50% reduction in federal contract transition ramp-up time
- Strong retrieval quality debugging: tuned chunking/indexing and retrieval parameters to improve grounded answer relevance
- Designed predictable multi-step AI workflows with guardrails for ambiguous/incomplete documents and reduced hallucinations via constrained prompting
- Built practical evaluation/feedback loops (global user testing, issue logging to Jira, production monitoring) and iterated based on error analysis
- Implemented per-workflow/blueprint validation and RBAC for a multi-cloud management platform handling messy operational inputs
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