Sayeri Biswas
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Sayeri Biswas

Agentic AI Engineer

  • 18 proven skills

“Agentic AI Engineer with nearly 5 years of enterprise engineering experience at Infosys, building LLM-powered applications, multi-agent systems, AI-driven workflow automation, and enterprise AI solutions. Hands-on with LangGraph, LangChain, MCP, RAG, Python, FastAPI, Microsoft Azure, Kubernetes, and Docker. Experienced in multi-agent orchestration, agent state management, conditional routing, sequential/parallel workflows, planning/replanning, tool/function calling, AI memory, human-in-the-loop controls, evaluation, observability, and guardrails. Built MCP servers/clients and custom tools integrating agents with enterprise systems, APIs, databases, and data sources. Built enterprise RAG pipelines with hybrid retrieval, reranking, contextual grounding, and retrieval evaluation. Built an enterprise EDI AI Assistant / Digital Brain supporting EDI workflows and knowledge retrieval, reducing manual effort by 76%.”

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Claims you can check

Each card points at something real — open the source and verify for yourself.

  • StatedRésumé

    Enterprise EDI AI Assistant / Digital Brain

    Built an enterprise EDI AI Assistant / Digital Brain supporting EDI SDLC workflows and enterprise knowledge retrieval using LangChain/LangGraph multi-agent orchestration, MCP-based tool integration, and workflow execution.
  • StatedRésumé

    Enterprise EDI AI Assistant / Digital Brain

    Built an enterprise EDI AI Assistant / Digital Brain featuring multi-agent workflows, state management, conditional routing, planning/replanning, tool calling, sequential/parallel execution, human-in-the-loop controls, MCP integration, enterprise RAG pipelines, FastAPI AI services, and Langfuse observability.
  • StatedRésumé

    Automated Enterprise Request Processing

    Automated enterprise request processing using LLM-based classification, extraction, summarization, and workflow automation.
  • StatedRésumé

    Technology Analyst @ Infosys Limited

    Built an enterprise EDI AI Assistant / Digital Brain supporting EDI SDLC workflows and enterprise knowledge retrieval using LangChain/LangGraph multi-agent orchestration, MCP-based tool integration, and workflow execution. Designed multi-agent workflows, built MCP-based tooling, enterprise RAG pipelines, and AI application services using Python and FastAPI. Implemented guardrails, security controls, AI observability, and evaluation. Designed, deployed, and maintained enterprise AI workloads using Azure, Kubernetes, Docker, and CI/CD.
  • StatedRésumé

    Infosys INSTA Award

    Outstanding project contributions
  • StatedRésumé

    Infosys Certified Agentic AI Professional

    Certification awarded by Infosys
  • StatedRésumé

    Infosys Certified Python Associate

    Certification awarded by Infosys

What Sayeri can prove

Proven Unproven

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INTERVIEW-VERIFIED CAPABILITY (PROVEN)SELF-DECLARED STACK
GRAPH NODES: 84 · CONNECTIVITY FACTOR: 0.21
Skill constellation: 84 skills, 0 interview-verified.AGENT EVALUATIONAGENT LOOPSAGENT STATE MANAGEMENTAGENTIC AIAI AGENTSAI MEMORYAI/LLM EVALUATIONASYNC PYTHONAZURE AI SEARCHAZURE CONTAINER REGISTRYAZURE FUNCTIONSAZURE KEY VAULTAZURE KUBERNETES SERVICE (AKS)AZURE MONITOR/APPLICATION INSIGHTSAZURE OPENAIAZURE STORAGECI/CDCONDITIONAL ROUTINGCONTEXT ENGINEERINGCONTEXTUAL GROUNDINGCUSTOM MCP TOOLSDATABASE INTEGRATIONDOCKERDOCUMENT CHUNKINGDOCUMENT PROCESSINGEMBEDDINGSENTERPRISE API INTEGRATIONEXCEPTION HANDLINGFAILURE RECOVERYFASTAPIFUNCTION CALLINGGITHELMHUMAN-IN-THE-LOOPHYBRID RETRIEVALINPUT VALIDATIONJENKINSJSONKUBERNETESLANGCHAINLANGFUSELANGGRAPHLOGGINGMCPMCP CLIENTSMCP SERVERSMETADATA FILTERINGMICROSOFT AZUREMODEL CONTEXT PROTOCOL (MCP)MULTI-AGENT ARCHITECTUREMULTI-AGENT ORCHESTRATIONMULTI-AGENT SYSTEMSOCTOPUS DEPLOYOPENTELEMETRYPLANNING/REPLANNINGPRODUCTION DEPLOYMENTPRODUCTION SUPPORTPROMPT ENGINEERINGPROMPT/MODEL VERSIONINGPYDANTICPYTHONQUERY TRANSFORMATIONRAGRAG POISONINGRAG SECURITYREGRESSION TESTINGRERANKINGREST APISRETRIESRETRIEVAL EVALUATIONRETRIEVAL-AUGMENTED GENERATION (RAG)SEMANTIC SEARCHSEQUENTIAL/PARALLEL WORKFLOWSSQLSTRUCTURED OUTPUTSTESTINGTIMEOUTSTOOL CALLINGTOOL DISCOVERYTOOL INTEGRATIONTOOL NODESTOOL PERMISSIONS/AUTHORIZATIONVECTOR DATABASESAGENT ORCHESTRATION
  • Agent Evaluation: self-declared, 0 evidence items
  • Agent Loops: self-declared, 0 evidence items
  • Agent Orchestration: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Agent State Management: self-declared, 0 evidence items
  • Agentic AI: self-declared, 0 evidence items
  • AI Agents: self-declared, 0 evidence items
  • AI Memory: self-declared, 0 evidence items
  • AI/LLM Evaluation: self-declared, 0 evidence items
  • Async Python: self-declared, 0 evidence items
  • Azure AI Search: self-declared, 0 evidence items
  • Azure Container Registry: self-declared, 0 evidence items
  • Azure Functions: self-declared, 0 evidence items
  • Azure Key Vault: self-declared, 0 evidence items
  • Azure Kubernetes Service (AKS): self-declared, 0 evidence items
  • Azure Monitor/Application Insights: self-declared, 0 evidence items
  • Azure OpenAI: self-declared, 0 evidence items
  • Azure Storage: self-declared, 0 evidence items
  • CI/CD: self-declared, 0 evidence items
  • Conditional Routing: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Context Engineering: self-declared, 0 evidence items
  • Contextual Grounding: self-declared, 0 evidence items
  • Custom MCP Tools: self-declared, 0 evidence items
  • Database Integration: self-declared, 0 evidence items
  • Docker: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Document Chunking: self-declared, 0 evidence items
  • Document Processing: self-declared, 0 evidence items
  • Embeddings: self-declared, 0 evidence items
  • Enterprise API Integration: self-declared, 0 evidence items
  • Exception Handling: self-declared, 0 evidence items
  • Failure Recovery: self-declared, 0 evidence items
  • FastAPI: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Function Calling: self-declared, 0 evidence items
  • Git: self-declared, 0 evidence items
  • Helm: self-declared, 0 evidence items
  • Human-in-the-Loop: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Hybrid Retrieval: self-declared, 0 evidence items
  • Input Validation: self-declared, 0 evidence items
  • Jenkins: self-declared, 0 evidence items
  • JSON: self-declared, 0 evidence items
  • Kubernetes: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • LangChain: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Langfuse: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • LangGraph: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Logging: self-declared, 0 evidence items
  • MCP: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • MCP Clients: self-declared, 0 evidence items
  • MCP Servers: self-declared, 0 evidence items
  • Metadata Filtering: self-declared, 0 evidence items
  • Microsoft Azure: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Model Context Protocol (MCP): self-declared, 0 evidence items
  • Multi-Agent Architecture: self-declared, 0 evidence items
  • Multi-agent orchestration: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Multi-Agent Systems: self-declared, 0 evidence items
  • Octopus Deploy: self-declared, 0 evidence items
  • OpenTelemetry: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Planning/Replanning: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Production Deployment: self-declared, 0 evidence items
  • Production Support: self-declared, 0 evidence items
  • Prompt Engineering: self-declared, 0 evidence items
  • Prompt/Model Versioning: self-declared, 0 evidence items
  • Pydantic: self-declared, 0 evidence items
  • Python: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Query Transformation: self-declared, 0 evidence items
  • RAG: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • RAG Poisoning: self-declared, 0 evidence items
  • RAG Security: self-declared, 0 evidence items
  • Regression Testing: self-declared, 0 evidence items
  • Reranking: self-declared, 0 evidence items
  • REST APIs: self-declared, 0 evidence items
  • Retries: self-declared, 0 evidence items
  • Retrieval Evaluation: self-declared, 0 evidence items
  • Retrieval-Augmented Generation (RAG): self-declared, 0 evidence items
  • Semantic Search: self-declared, 0 evidence items
  • Sequential/Parallel Workflows: self-declared, 0 evidence items
  • SQL: self-declared, 0 evidence items
  • Structured Outputs: self-declared, 0 evidence items
  • Testing: self-declared, 0 evidence items
  • Timeouts: self-declared, 0 evidence items
  • Tool Calling: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Tool Discovery: self-declared, 0 evidence items
  • Tool Integration: self-declared, 1 evidence items, linked to Project: Enterprise EDI AI Assistant / Digital Brain
  • Tool Nodes: self-declared, 0 evidence items
  • Tool Permissions/Authorization: self-declared, 0 evidence items
  • Vector Databases: self-declared, 0 evidence items

Shipped work

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Getting better, on the record

Proven skills over time — today marked in lime.

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Career chronology

Gaps shown honestly — only what's on the record.

Trajectory timeline

  1. Technology Analyst

    Infosys Limited

    2022-01-01

  2. RCC Institute of Information Technology

    Bachelor of Technology (B.Tech)

    ? — 2020

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