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Sandesh Shridhar
Senior Full-Stack AI Engineer specializing in LLM and RAG applications
Chicago, ILTechnology Consultant7 years experienceSeniorConsultingTechnologyArtificial Intelligence
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About
Consulting-style LLM practitioner who builds enterprise knowledge assistants using RAG and takes them from prototype to production with guardrails, evaluation, and full-stack observability. Experienced partnering with IT and customer-facing teams to demo solutions, build tailored prototypes, and drive adoption through API-based integration.
Experience
Technology ConsultantIndependent Projects
Senior Software EngineerInfosys Ltd
Education
Illinois Institute of Technologymaster, Computer Science
NMAM Institute of Technology, Nittebachelor
Key Strengths
- Took an enterprise LLM knowledge assistant from POC to production using a RAG architecture
- Improved answer reliability by adding retrieval validation (similarity thresholds, re-ranking) to reduce overconfident low-context responses
- Built production-grade LLM observability (logging queries, retrieved docs/scores, prompts, responses) to isolate failures by pipeline stage
- Implemented real-time monitoring/alerts for LLM systems (latency, error rates, token usage) and regression testing with evaluation datasets
- Strong customer-facing technical communication: delivers practical end-to-end demos with code and tailors content to engineers vs data scientists
- Partners with sales/customer teams by building tailored prototypes and translating technical capabilities into business outcomes to drive adoption
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