Shiv | AI Builder | AI Deploy Network

About Shiv

I’m an AI Solutions Engineer passionate about helping enterprises turn complex business challenges into practical AI solutions. I focus on building context-first enterprise AI systems, bringing together data, knowledge, applications and workflows to power intelligent agents that deliver meaningful business outcomes.

With 13+ years of experience in SaaS and over 5 years in enterprise AI, I work at the intersection of business strategy, solution architecture and emerging AI technologies. My interests span agentic AI, enterprise context layers, intelligent automation, and building trustworthy AI systems with the right guardrails, evaluations and human oversight.

Recognized as APJ SE of the Year, I enjoy working with enterprise leaders and technology teams to explore what's possible with AI and turn that vision into reality.

Professional profile

Location: Bengaluru, India
Time zone: Asia/Calcutta
Work mode: Remote, Hybrid, On-site
AI experience: 3+ years
Industry experience: 13+ years
Languages: Hindi, English, Kannada
Working hours: 09:00–21:00 IST, Mon–Fri
Typical response: Within a few hours
Travel: International travel
Available in: United States, Singapore, United Arab Emirates, Canada, Germany, Japan, Belgium, Netherlands, Malaysia, South Korea, Denmark, Sweden, Norway, Switzerland, India

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

Reported business outcomes

Hours Automated115 hours
period not specified
Automated 115 hours (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

What Shiv builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

Agentic Workflow Automation

AI Agents

Conversational AI

Customer Support AI

Multi-Agent Systems

Builder-listed deployment types

Conversational AI
Decision Automation
Help Desk Assistant
Process Automation
Workflow Automation

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

Agentic AI rebooking orchestration for ‘PNR Not Generated’ failures across CRM, booking and payment systems

An AI agent that resolves failed-booking cases end to end for a large airline’s payment desk - orchestrating CRM, booking engine and payment gateway from one conversational interface, cutting resolution from 15-30 min to under 5.

115 hours automated / per day

Aviation & Airports · Conversational AI · Decision Automation · Help Desk Assistant · Process Automation · Workflow Automation

View Deployment

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

Conversational AI1 record
Decision Automation1 record
Help Desk Assistant1 record
Process Automation1 record
Workflow Automation1 record

Builder declared

Agentic Workflow Automation
AI Agents
Customer Support AI
Multi-Agent Systems

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

Claude Agent SDK1 record

Builder declared

OpenAI Platform
Postman

Industry experience

Published Deployments support the listed counts. Other industries are Builder declared.

Aviation & Airports

1 published Deployment

Banking

Builder declared

Consumer Goods (CPG)

Builder declared

Retail

Builder declared

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

Community

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

Diverse industry experience

Asia's Largest Airline
Confidential
Conversational AI • Aviation & Airports
India2025
Asia’s largest airline: I led presales, solutioning and the production rollout of DevRev Computer for the customer payment desk. Agents used to spend 30–45 minutes on each failed booking, copying data across Navitaire, Juspay, the booking engine and Salesforce while fighting session expiry, fare changes, seat and add-on stock-outs, and typos. Computer now recovers these bookings end to end, with built-in checks and human confirmation. It has been live in production for over a year, and the payment desk team went from 48 agents to 4, a ~92% reduction.
1 AI Deployment1 Evidence Item
Hours
115
View Related AI Deployments →
Leading Pharmaceutical Company
Confidential
Conversational AI • Pharmaceuticals
India2026
Client: A leading Indian pharma enterprise; sponsor: Head of Intelligent Products & Platforms. Led presales and solutioning for DevRev Computer, an agentic AI platform, running technical and commercial tracks in parallel. Designed the data-integration architecture with the client’s enterprise architecture team: an ELT pipeline into a unified knowledge graph. Built a cloud data-warehouse cost analysis covering egress and import. Ran structured discovery and delivered a 15-day SOP intelligence PoC benchmarked against Microsoft Copilot.
Popular Sports Wear Brand
Confidential
AI Transformation • Fashion & Apparel
India2026
Client: A celebrity-founded Indian sports lifestyle brand. Rescued a stressed account in 5 weeks by re-architecting the AI CX stack: synced the full Shopify catalog via AirSync, relaunched the CX agent on web and WhatsApp, and integrated shipping and returns tools. Cut response times 3x (12s to 4s). During the brand’s biggest product launch, the agent handled an 8x traffic surge across 4,083 inbound queries with 75.7% autonomous deflection and zero degradation. Account moved from Stressed to Engaged, opening a multi-brand expansion.

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