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Lakshmi Swathi Sreedhar

Mid-level AI Engineer specializing in Generative AI and LLM systems

ChainSysUniversity of Michigan-DearbornGrand Ledge, MI3 Years ExperienceMid LevelWorks On-Site

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About

Built and deployed a production-grade, multi-agent Text-to-SQL assistant that lets non-technical stakeholders query large enterprise databases in natural language. Uses Pinecone-based schema retrieval + LLM reasoning (Gemini/Claude/GPT) with a dedicated validation agent (schema/syntax checks and safe dry runs) to reduce hallucinations and improve reliability, while optimizing latency and cost via async execution and embedding caching.

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Key Strengths

  • Built and deployed a production Text-to-SQL assistant for non-technical users over enterprise databases
  • Designed multi-agent LLM workflow with schema retrieval + SQL generation + validation for reliability
  • Strong hallucination prevention via RAG over schema and past queries
  • Reliability engineering: validation agent with schema checks, syntax checks, safe dry runs, and auto-correction
  • Latency and cost optimization using prompt refinement, embedding caching, and async parallel execution
  • Framework fluency for agentic orchestration (LangChain, LangGraph, DSPy) with emphasis on determinism and loop prevention
  • Structured evaluation approach: upfront metrics, edge-case testing, end-to-end simulations, and post-launch monitoring
  • Took a text-to-SQL LLM prototype to production for an enterprise customer by redesigning into a multi-agent system
  • Reliability engineering for LLM workflows using guardrails, validation, and fallback logic
  • Fast real-time diagnosis of agentic pipeline failures via reproduction, step isolation, and log/validator inspection
  • Customer-driven iteration: weekly reviews of failures and converting them into re-prompting and new validation rules
  • Strong technical demo/workshop delivery with interactive edge-case testing and failure analysis
  • Effective pre-sales partnership: tailoring demos to customer workflows to drive adoption and close deals

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Experience

Software Engineer- AI/ML and Product Systems (Forward Deployed)ChainSys Corporation · Sep 2023 – May 2025
Machine Learning Developer InternParaillel Inc · Mar 2023 – Aug 2023internship
AI/ML Engineer TraineeAptech Inc · Dec 2020 – Apr 2021
AI/ML -Software Engineer (Forward Deployed)ChainSys Corporation · Sep 2023 – May 2025
Founding Machine Learning Developer InternParaillel Inc · Mar 2023 – Aug 2023internship

Education

University of Michigan-Dearbornmaster, Artificial Intelligence (2023)
Dayananda Sagar College of Engineeringbachelor, Aeronautical Engineering (2020)

Awards

  • Non-Resident Graduate Scholarship Recipient - University of Michigan Dearborn

Languages

English

Certifications

No-Code AI and Machine Learning: Building Data Science Solutions (MIT Professional Education)No Code AI and Machine Learning: Building Data Science Solutions (MIT Professional Education)

Publications

2 publications

Multimodal AI for precision medicinePrompt engineering for large language modelsFederated learning and data privacy

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Lakshmi Swathi SreedharMid-level AI Engineer specializing in Generative AI and LLM systems