Prashant Kumbhar

Senior Technical Architect at Emerson

Based in Pune Division, India

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Seniority

Staff

Department

Information Technology

Location

Pune Division

Industry

Automation Machinery Manufacturing

Company size

52K

Contact information

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Email

1 credit

p•••••••@emerson.com

Phone

5 credits

+91 ••• •••• ••••

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Background

About Prashant Kumbhar

AI & Cloud Solutions Architect, I design enterprise-grade AI/ML ecosystems that are scalable, secure, and governance-driven. Skilled in ML, RAG, autonomous agentic AI and multi-model pipelines, I deliver solutions across cloud and hybrid platforms with embedded AI guardrails, ethics, and security frameworks. A PG Diploma holder in AI from IIT Madras.Leadership Impact: I have led multi-million-dollar AI initiatives, aligning cross-functional teams to deliver measurable value and enabling enterprises to scale innovation with confidence and resilience. Established program frameworks, technical repositories, structured learning paths, and mentoring teams to drive enterprise AI excellence.Core Expertise:Enterprise AI/ML Systems, Architecture – Hybrid (Cloud + On-Premise), secure front-end/back-end design, AI Guardrails, AI shield frameworks, Responsible AI, AI Model evaluation, feedback and human in loops, AI Ethics, Enterprise Integration, Operations & Governance, Cost vs. Quality optimization, compliance, Modular, Scalable, Reusable, Secured, Low Maintenance, Security and Future Ready.TECHNIACAL SKILLS :• Architecture & Deployment: Microservices, Event-driven, Containerization (Docker, Kubernetes), CI/CD, REST APIs, Secure Frontend/Backend, DevOps• AI/ML & Data Science: ML (scikit-learn, pandas, numpy), DL (CNN, RNN, GANs, Transformers, BERT, GPT), Computer Vision, Gen AI, Multimodal AI, Time Series Forecasting, Spark, Databricks, MLFlow, Computer Vision• Generative AI & Agentic Frameworks: LLMs (OpenAI, LLaMA), RAG, Prompt Engineering, Few-shot Learning, Prompt Tuning, Agentic AI (LangChain, AutoGen), Vector DBs (ChromaDB, Postgres, Neo4j, Redis, Azure Cognitive Search), Knowledge Base, Human-in-loop• Cloud & Hybrid Platforms: Microsoft Azure, AWS, On-Premise & Hybrid Cloud, Cognitive Services, Azure OpenAI• Data Engineering & Storage: Data Lakes, ETL pipelines, Snowflake, Oracle, MySQL, SQL Server, PostgreSQL, BLOB• Security & Governance: IAM, RBAC (infra & app), Entra ID, OIDC Auth, Key Vault/KMS, API Security, TLS/AES, AI Shield, Responsible AI (bias mitigation, explainability, fairness, ethics), Compliance (GDPR, HIPAA, ISO/IEC 27001), Human in loop• Monitoring & Optimization: Model Observability, Drift Detection, Lifecycle Management, App Monitoring, Cost vs Quality, Model Optimization• Enterprise Tools & Integration: Microsoft 365, Power BI, SharePoint Online, Jupyter Notebook, GitHub/Bitbucket, Azure DevOps, VS Code• Methodologies & Project Execution: SAFe, Agile, Waterfall• Operating Systems: Windows, UNIX, Linux

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