AI PRODUCT & TECHNOLOGY LEADER

Surbhi
Choudhary

Orchestrating AI-driven business transformation through autonomous agentic systems. Built on statistical rigor and systems thinking.

📐

Strategy & Commercial Accountability

AI Product Strategy · GenAI Operating Models · FinOps (TCO) · Enterprise Roadmapping · Value Realization (ROI)

🧩

Agentic Orchestration & Reliability

Compound AI Systems (MCP) · Multi-agent Swarms · LLM Evals (RAGAS) · Hallucination Mitigation · Human-in-the-Loop (HITL)

🚀

Transformation & Executive Storytelling

AI-native Transformation · Data Readiness · Change Management · TCO Optimization · Cross-functional Enablement

Domains of Impact

Each domain contains projects where statistical rigor turned broken processes into self-sustaining AI systems.

Tech Arsenal

Cloud-native, MLOps, Generative AI, and statistical tooling across Azure, AWS, and GCP.

☁️ Cloud Platforms

Azure
AI FoundryKubernetes ServicesCognitive ServicesOpenAI ServicesSynapseAzure MLAzure AI stackKey VaultDocument IntelligenceFront DoorMonitorCosmos DBBlob StorageData FactoryMicrosoft FabricAI SpeechAI TranslatorAI Content Safetyweb appsstatic appscontainer apps
AWS
BedrockSagemakerOpenSearchTextractTranscribeTranslateLambdaAPI GatewayECSEKSS3RDSDynamoDBElasticCacheEventBridgeSQSSNSCloudWatchSecret ManagerIAMCloudFrontCodePipelineGlueQuickSight
GCP
Vertex AIAgent BuilderGemini APIDocument AIVision AISSTTTSTranslation APINatural Language AICloud RunCloud FunctionsGKECloud SQLBigQueryPub/SubSecret ManagerTraceLoggingMonitoringCloud IAMCloud CDNDataflowModel GardenFeature StoreAI prompt optimizer

🤖 Generative AI & Agentic

Frameworks
LangChainLangGraphAutoGenCrewAIMCPAgent SDKGoogle ADKSpecs toolkit
Models & Tools
OpenAIGeminiHuggingFaceClaudeGithub CopilotCodexCursorDevinWindsurfOpenClaw
Techniques & Advanced Paradigms
LLMsRAGFine-tuningPrompt EngineeringVectorless RAGKnowledge GraphsSLMVLMReAct / ToT ReasoningMulti-agent SwarmsAI Observability (Tracing)Agentic Workflow OrchestrationEvaluation-driven Development (Evals)Cost/Performance Optimization
Responsible AI
AI GovernanceAI EthicsAI HarnessAI EvaluationExplainable AIAI AlignmentAI ObservabilityAI Compliance

⚙️ MLOps & Engineering

MLOps
MLFlowDockerDatabricksGitHub ActionsGithubGitLabCloudflare
Orchestration & Messaging
KafkaRabbitMQRedisPowerAutomateCopilot Studio

📊 Data & Statistics

Languages
PythonPySparkRR ShinySQLCC++HTMLReact.js (basics)
Statistical Software
SPSSSTATAJMP ClinicalSAS
Core Competencies
Survival AnalysisBayesian MethodsOptimizationEvolutionary Game TheoryOperations ResearchDecision Sciences

🔍 Databases & Vector DB

DBMSSQLMongoDBChromaWeaviateFAISSOpenSearchQdrantAzure AI Search

🧠 Leadership & Delivery

System Design ArchitectureTechnical MentoringStakeholder ManagementDelivery PlanningTechnical HiringAgile (Jira, Trello, Monday.com, ServiceNow)SDLC

About Me

AI Product & Technology Leader with nearly 7 years of experience architecting enterprise-scale AI platforms and Generative AI solutions. Every architecture decision is preceded by deep problem decomposition, data reality checks, and long‑term sustainability assessment – producing AI systems built to last.

Leadership Highlights

  • AI Strategy & Commercial Accountability: Owned AI product strategy for Fortune 500 clients, structuring multi-year roadmaps and securing executive buy‑in for investments exceeding $2B in operational savings.
  • Enterprise Architecture & Standardization: Defined standardized AI architecture frameworks deployed across 80+ countries, enforcing security, scalability, and operational compliance.
  • AI Governance & Risk Management: Established enterprise AI Governance, building automated evaluation pipelines that reduced deployment risks and improved regulatory audit readiness.
  • Platform Delivery & Program Management: Directed simultaneous enterprise AI initiatives, balancing engineering capacity, stakeholder expectations, and cross‑functional release planning.
  • Talent Development & Organizational Growth: Built high‑performance AI teams by mentoring engineers, data scientists, and leading technical hiring for 20‑30 ML/Data Science roles.

🎓 Education & Research

M.Sc. Statistics

Devi Ahilya Vishwavidyalaya, Indore (2017–2019)

Thesis: Comparative evaluation of 6 survival models on orthopedic disease recurrence.

B.Sc. Comp. Sci., Stats & Maths

Govt. Holkar Science College (2014–2017)

Internship: Statistical analysis of manufacturing processes using EDA and regression.

🏆 Best Paper Award – National Research Writing Competition 2021

📄 Publication – ICOSCM 2021 on Supply Chain Analytics

🧠 Core Competencies

AI Strategy & RoadmappingGenAI Operating ModelsAgentic OrchestrationStatistical ModelingSurvival AnalysisBayesian MethodsAI GovernanceExplainable AIResponsible AILLM EvalsEvaluation-driven DevelopmentSystems ThinkingExecutive LeadershipTechnical MentoringCloud Architecture (Azure, AWS, GCP)MLOps

Let's Build

Architecting AI systems built to last. Open to product leadership, enterprise advisory, technical strategy, or AI partnerships.

© 2026 Surbhi Choudhary. All rights reserved.