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About Navneet
AI-focused Solution Architect / Enterprise Technology Leader with extensive experience designing and delivering enterprise platforms across AI-assisted software development, Java, Spring Boot, Microservices, Kafka, RAG, LLM, OpenText Extended ECM, SAP, Azure, Kubernetes and Docker.
More than two decades of experience across OpenText Content Server, Extended ECM, Archive Center, SAP integration, Microsoft SharePoint Integration, OTDS, Workflows, Web Reports, content migration and enterprise application architecture, with extensive global-client experience. Strong foundation for Agentic AI / GenAI enterprise solutions through enterprise APIs, microservices, content repositories, business workflows and cloud platforms. Certified with AWS and Azure cloud architect.
Professional profile
- Location
- India
- Time zone
- Asia/Calcutta
- Work mode
- Remote, Hybrid, On-site
- Availability
- Available Now
- AI experience
- 6+ years
- Industry experience
- 25+ years
- Languages
- English, Hindi
- Preferred engagement
- Large (business-unit programmes)
- Travel
- Occasional travel
- Available in
- India
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Proven on the network
Implementation records and publicly available work, where published.
0 AI Deployments delivered. No publicly identified implementations are available to inspect.
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What Navneet builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
Agentic Workflow Automation
AI Agents
Enterprise Search
Multi-Agent Systems
RAG & Knowledge Retrieval
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AI Deployments
Real AI implementations demonstrated through evidence.
No publicly identified Deployments are available to inspect.
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Implementation capabilities
Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.
Evidence-supported
No published evidence linked yet.
Builder declared
- Agentic Workflow Automation
- AI Agents
- Enterprise Search
- Multi-Agent Systems
- RAG & Knowledge Retrieval
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Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- Agent Skills
- Claude Agent SDK
- Elasticsearch Vector
- IBM watsonx
- Postman
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Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Banking
Builder declared
Energy & Utilities
Builder declared
Healthcare Providers
Builder declared
Investment Banking
Builder declared
Oil & Gas
Builder declared
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Trust & verification
A closer look at how this profile and its evidence are reviewed.
Community Member
Published evidence is reviewed against the AI Deploy Network Evidence Standard.
How verification works
Verified Builder
Independently reviewed by AI Deploy Labs against the platform Evidence Standard.
How this is verifiedWhat the platform has established, and what remains builder-declared.
- Identity and organisation
- Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
- AI Deployments
- An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
- Business outcomes
- Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
- Evidence
- Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
- Currency
- Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
- Traceability
- Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.
The platform does not independently audit client systems or financial records. How this is verified
Professional record and further evidence
Client Portfolio
Portfolio startedIBM India
Agentic AI • Oil & Gas
2021Worked as a Solution Architect in the Enterprise Content Management team, supporting global clients including Ernst & Young and Suncor Energy, Canada. • Designed and implemented enterprise ECM environments using OpenText Archive Center, Content Suite, Content Server and OTDS. • Set up new Archive Center environments with SAP for Information Lifecycle Management (ILM) and deployed Extended ECM for SAP solutions end-to-end.& Microsoft Sharepoint. • Designed and deployed enterprise content-management solutions on Azure Cloud. • Led and supported migration from older Livelink / Content Server envi
UBS India
Agentic AI • Banking
2024Working as a Microservices Architect designing and implementing distributed enterprise applications using Java, Spring Boot, Docker and Kubernetes. • Applying GitHub Copilot and AI-assisted development practices RAG, LLM to improve software-development productivity and accelerate engineering activities. • Working with modern architecture patterns that provide a foundation for GenAI and Agentic AI-enabled enterprise workflows. • Designing API-driven microservices integrating enterprise applications, content platforms and intelligent automation capabilities. • Developing scalable backend service
Professional Certifications
Some recognitionAWS Certified AI Practitioner
Amazon Web Services
Issue date not specified
Microsoft Azure AI Engineer Associate
Microsoft
Issue date not specified
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