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Harshitha Miriyala

Harshitha Miriyala

AI ENGINEER | AGENTIC AI | GENERATIVE AI | RAG | LLM APPLICATIONS

Talent
HyderabadMember since September 28, 2026
LangGraphCrewAILangChainDSPyMulti-Agent SystemsAgent MemoryDynamic RoutingAzure OpenAILLM ApplicationsRAGModel ValidationGuardrailsFAISSEmbeddingsPythonFastAPIREST APIsMicroservicesAzureProduction AI Deployments
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LangGraphCrewAILangChainDSPyMulti-Agent Systems

About

AI Engineer with hands-on experience building and deploying production-grade agentic AI platforms, multi-agent workflows, RAG applications, and scalable Python microservices. Skilled in LangGraph, CrewAI, LangChain, Azure OpenAI, FAISS, DSPy, tool execution, agent memory, configurable workflow orchestration, model validation, and guardrails. Delivered measurable improvements in response accuracy, retrieval relevance, and output consistency across enterprise AI systems.

Experience

AI Engineer - Tata Consultancy Services (TCS)

(2025-01)

  • Built production-ready RAG applications using Azure OpenAI, LangChain, and FAISS across 1,000+ mortgage documents, improving retrieval relevance and response accuracy through optimized chunking, embeddings, similarity search, and validation workflows.
  • Built automated validation agents and dynamic-routing pipelines that increased valid responses from 75% to 90% across 100 evaluations, reducing invalid responses by 60%.
  • Architected and deployed enterprise-grade agentic AI workflows using LangGraph, CrewAI, and LangChain, enabling dynamic execution-graph generation and configurable workflow orchestration for conversational interfaces.
  • Built scalable FastAPI REST APIs and Python microservices that expose agentic skills, tool integrations, and AI workflows to external product systems.
  • Applied DSPy for programmatic prompt optimization, improving accuracy from 60% to 80% across 100 held-out examples—a 20-percentage-point gain.
  • Worked across product, QA, and engineering teams to align release milestones, maintain code-review standards, and manage production AI deployments.

Machine Learning Intern - Quantum AI Global

(2024-06 - 2024-08)

  • Developed high-efficiency document similarity and retrieval engines using FAISS for enterprise compliance and compliance-matching workflows.

Machine Learning Intern - Qulabs

(2023-03 - 2023-05)

  • Built and served BERT-based NLP text-summarization models, streamlining document-processing operations.

Education

Bachelor of Technology (B.Tech) - Computer Science & Engineering (Data Science) - Gayatri Vidya Parishad College of Engineering (2021-01 - 2024-05)

Skills

AI ENGINEERAGENTIC AIGENERATIVE AIRAGLLM APPLICATIONS

Reviews

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