Jai GaneshHi, I'm @jaig1,

AI Systems Builder —
GenAI, LLM & Agentic AI
that ships to production
and stays there.

AI Engineering Leader20+ Yrs Enterprise ExperienceAWS · Azure · GCPMulti-Agent BPA Platform

AI should save you time, cut your costs, or open new revenue. If it's not doing one of those, it's a science project.

I build AI that pays for itself: document processing that eliminates manual work, RAG systems that put your company's knowledge at everyone's fingertips, LLM integrations that automate what used to need a team. And because I bring 20 years of enterprise and cloud architecture — including hyperscaler Principal Solutions Architect experience — it's built to run reliably and affordably, not just demo well.

Startups and small businesses get what enterprises pay consultancies millions for: someone who's done this before, at a fraction of the cost.

What I buildWhat I shareMy pathLet's talk
20+
Years of enterprise delivery
50+
Teams enabled with GenAI
1B+
Transactions architected
$100M+
Cumulative sales delivered

Projects

github.com/jaig1 →

Every project below started with the same conversation: a business owner or team leader whose team was spending too much time on work that kept them from doing what they do best. Chasing invoices instead of chasing growth. Reviewing contracts line by line instead of closing deals. Preparing for sales calls manually instead of building relationships. Answering the same HR questions every week instead of developing their people.

These are the problems I build for. Not AI for its own sake — AI that frees your team to focus on the work that actually moves the business forward, measurably reduces cost and effort, and puts control back in the hands of the people running the business. Each project here has been delivered end-to-end: scoped, built, hardened for production, and handed over with documentation and support. No proof-of-concept theatre.

If you recognise your business in any of these, that's the point.

Multi-Agent Business Process Automation Platform

An orchestration platform that coordinates specialized AI agents to automate complex enterprise workflows across HR, IT, Finance, and Customer Operations — enabling autonomous task execution while maintaining governance and human-in-the-loop oversight.

Orchestrator
Orchestration Agent
Dynamically assigns tasks, exchanges context between agents, and determines the optimal execution path for each workflow.
Document Analyst
Ingests, parses, and extracts structured data from unstructured documents using RAG and OCR.
Policy Validator
Checks outputs and decisions against enterprise policies, compliance rules, and regulatory guidance.
Data Retrieval Agent
Queries CRM, ERP, HR, and ITSM systems via secure APIs to surface relevant context.
Workflow Executor
Triggers downstream business actions, updates records, and routes approvals through enterprise systems.
Communications Agent
Drafts and sends context-aware customer and employee communications.
Reporting Agent
Generates summaries, audit logs, and observability dashboards for completed workflows.
  • ActiveCommercial

    Multi-Agent Business Process Automation Platform

    Orchestrates specialized AI agents to automate complex enterprise workflows across HR, IT, Finance, and Customer Operations. Agents collaborate through an orchestration layer with human-in-the-loop approval for high-impact decisions.

    • ›Multi-agent orchestration with dynamic task assignment and context exchange
    • ›Centralized RAG knowledge layer with vector databases for accurate, grounded responses
    • ›Production-ready: prompt management, observability dashboards, audit logging, RBAC
    PythonLangGraphCrewAIAzure OpenAIVector DBKubernetesDocker
  • ShippedCommercial

    AI Contract Review Assistant

    Accelerates legal agreement analysis using LLMs, RAG, and enterprise legal knowledge. Identifies contractual risks, summarizes complex clauses, highlights deviations from standard templates, and recommends revisions — while keeping legal counsel in the loop for final approval.

    PythonAzure OpenAILangChainAzure AI Document IntelligenceVector DBDocker
  • ShippedCommercial

    Sales Intelligence AI Copilot

    Helps sales teams prepare for customer engagements, automate admin work, and identify revenue opportunities. Combines CRM data, customer communications, and product documentation with LLMs to deliver personalized recommendations and actionable insights throughout the sales lifecycle.

    PythonAzure OpenAILangChainVector DBMicrosoft Graph APISalesforce / Dynamics
  • ActiveCommercial

    Intelligent Invoice & Document Processor

    Eliminates manual data entry for SMBs by automatically extracting, classifying, and validating data from invoices, purchase orders, and expense receipts using OCR and LLMs — posting structured results directly into their accounting system. Built for businesses drowning in paperwork who need accuracy without headcount.

    • ›OCR + LLM pipeline handles scanned PDFs, photos, and email attachments
    • ›Validates extracted data against business rules before posting to QuickBooks, Xero, or custom ERP
    • ›Human-in-the-loop review queue for low-confidence extractions
    PythonAzure Document IntelligenceOpenAILangChainREST APIsDocker
  • ActiveCommercial

    Employee Onboarding & HR Knowledge Assistant

    A conversational AI assistant that answers HR policy questions, guides new hires through onboarding steps, and surfaces the right document at the right moment — so HR teams stop answering the same questions repeatedly. Trained on the company's own handbooks, policies, and SOPs via RAG.

    • ›RAG over HR documents, policies, and onboarding materials — answers grounded in company-specific content
    • ›Escalates unanswered questions to HR with full conversation context
    • ›Integrates with Slack, Teams, or a standalone web interface
    PythonClaude / OpenAIRAGVector DBSlack / Teams Integration
  • ActiveCommercial

    AI Business Intelligence Analyst

    Lets non-technical SMB owners ask plain-English questions about their own business data — "Which customers haven't reordered in 90 days?", "What were my top 5 products last quarter?" — and get instant answers with charts. Connects to databases, spreadsheets, or BI tools without requiring SQL knowledge.

    • ›Text-to-SQL engine translates natural language queries into accurate database queries
    • ›Generates charts and narrative summaries alongside raw results
    • ›Role-based access control ensures staff only see data relevant to their function
    PythonOpenAIText-to-SQLReactCharting LibrariesPostgreSQL / BigQuery

Sharing

[One sentence about where and why you share: the platform(s), the topics you focus on, and what you hope it does for your community or field.]

Jai Ganesh
@[handle]

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Quoted by
“[A quote someone notable said about your work, your writing, or your impact. Something specific and attributable.]”
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Talks & teaching

  • [TBD] · [Conference name]

    [Talk title]

    [One or two sentences about what this talk covered and why it mattered to the audience.]

  • [TBD] · [Podcast / platform name]

    [Episode or talk title]

    [One or two sentences about the conversation or session and the key ideas explored.]

[Discipline A][Discipline B]

[Accreditation or programme name]

[Two sentences about the programme, what you studied, why it matters for your work, and what it qualifies you to do or say.]

[Credential 1] ↗[Credential 2] ↗

Experience

From architecting India's national tax processing system to leading enterprise GenAI delivery at a major US health plan, my career has been defined by high-stakes platforms where getting it wrong wasn't an option. Here is the arc.

GenAI & Agentic AI delivery — full-SDLC from rapid prototype through production support, including LLM behaviour, prompt design, RAG, tool use, orchestration, human-in-the-loop controls, and responsible AIMulti-agent systems — architecting and deploying agent systems with lifecycle management, orchestration, evaluation harnesses, and secure operationsQuality engineering & production support — agent evaluation, prompt/regression testing, quality gates, CI/CD, model monitoring, drift detection, incident triage, and runbooksEnterprise platform architecture — cloud-native design on AWS, Azure, and GCP; integration platforms, data platforms, identity and access management at Fortune 500 and government scaleTeam & delivery leadership — managing in-house developers, offshore resources, and third-party partners; translating priorities into executable build-and-deploy plans that meet engineering, security, and support standards
  • Major US Health Insurance ProviderJun 2023 — present
    Manager, AI Solution Engineering · Enterprise Technology

    Led a team of architects, developers, and offshore delivery partners in building an enterprise GenAI platform and delivering generative-AI automation to claims, prior authorization, care management, member services, and provider operations — managed end-to-end from rapid prototype through production support on Google Cloud Vertex AI.

    • ›Claims operations — delivered RAG-powered GenAI automation for claims summarization and adjudication support, auto-drafting decision rationale and surfacing relevant precedent from benefit and policy documents, cutting manual review effort and accelerating turnaround.
    • ›Prior authorization — built an agentic workflow automating PA intake, clinical criteria matching, and decision recommendations with human-in-the-loop approval and full audit trails, reducing turnaround time and manual oversight by ~40%.
    • ›Care management & member services — deployed GenAI assistants that summarize longitudinal member history, draft personalized care plans and outreach, and automate contact-centre response drafting — improving first-contact resolution and reducing documentation time.
    • ›Enterprise enablement — provided centrally governed LLM API access, an embedding registry, and reusable RAG, prompt, and agent-orchestration frameworks leveraged by 50+ data product teams, standardizing how business units build and ship GenAI automation.
    • ›Quality & production — owned agent-evaluation harnesses, prompt/regression testing, quality gates, and MLOps CI/CD — shortening deployment cycles by 50% and keeping GenAI automation reliable and compliant in production.
    Agentic AI

    Prior Authorization Automation — 40% reduction in turnaround

    Built an end-to-end agentic workflow that automates PA intake, matches requests against clinical criteria, and generates decision recommendations with human-in-the-loop approval and full audit trails.

    ~40%
    Reduction in manual oversight
    50%
    Faster deployment cycles
    50+
    Teams enabled
    “"Jai is incredibly knowledgeable and hands-on."”
    John Knight
    [Title] @ [Company]
  • Amazon Web Services (AWS)Jan 2022 — Jun 2023 · Seattle, USA
    Principal Solutions Architect · AI/ML Advisory

    Worked with AWS enterprise customers to implement AI/ML solutions — scoping high-value use cases, selecting and fine-tuning architecture and tech stacks, developing proof-of-concepts, and creating plans for launching solutions at scale with responsible AI best practices.

    • ›Enabled serverless GenAI workload transformation — 50% throughput gain, 70% operating cost reduction, 5X improvement in response latency, 25% faster deployment, and 41% higher feature release frequency.
    • ›Supported a generative-AI-powered customer support chatbot that reduced response time by 60% and increased customer satisfaction scores by 45%.
    • ›Enabled cloud-scale automation for customer acquisition and verification using ML-based image extraction and identity qualification — reducing errors by 80%, processing cost by 40%, and increasing conversion rates by 34%.
    • ›Supported personalized marketing campaign generators using generative AI, resulting in a 20% increase in engagement rates and a 15% boost in sales.
    • ›Architected a cloud-based advanced analytics platform for network security — streaming real-time data from millions of field devices through ML models to surface vulnerability insights and remedial actions.
    Serverless AI

    GenAI Workload Transformation to 100% Serverless

    Enabled enterprise customers to migrate GenAI workloads to fully serverless architecture on AWS, delivering dramatic improvements across performance, cost, and deployment velocity.

    70%
    Operating cost reduction
    5X
    Response latency improvement
    50%
    Throughput gain (RPS)
  • InfosysJan 2017 — Dec 2021 · Dallas, USA
    Head, Cloud Architecture Advisory

    Led a team of 20+ cloud architects delivering enterprise cloud transformation initiatives across Fortune 500 companies — driving strategic cloud adoption, platform modernization, and large-scale migrations.

    AT&T
    GAP
    Fidelity
    Toyota Motors
    PepsiCo
    Cisco
    Microsoft
    DHL
    Texas Instruments
    Integration Platform

    PepsiCo — Cloud-Native Application Integration Platform on Azure

    Designed and operationalized a cloud-native integration platform on Azure that migrated over 1,000 point-to-point bespoke integrations to a standards-based platform supporting 25+ enterprise integration patterns.

    1,000+
    Integrations migrated
    25+
    Enterprise integration patterns
    Cloud Migration

    GAP — Hybrid Cloud Foundation across Azure and Oracle Cloud

    Advised GAP's cloud architecture board on designing a Hybrid Cloud Foundation, built and operationalized across Azure and Oracle Cloud, enabling porting of 800+ on-premises enterprise applications.

    800+
    Applications migrated to Azure
  • Infosys India2001 — 2016 · India
    Head, Solution & Architecture · India Business Unit

    Held progressive leadership roles culminating as Head of Solution & Architecture for the India Business Unit — contributing to 25+ new customer wins with cumulative sales revenue exceeding $100M and delivering national-scale platforms for the Government of India.

    National Platform

    Income Tax Department, Government of India — Centralized Tax Processing System

    Chief Architect for India's national Centralized Processing Center for tax processing — reconciling 75% of annual direct tax receipts across 1B+ transactions, with 100% on-time processing, 30% improvement in compliance, and 50% reduction in tax evasion.

    1B+
    Annual transactions
    30%
    Increase in compliance
    50%
    Reduction in tax evasion
    National Platform

    India Post — National Mobility Platform for Digital Financial Services

    Chief Architect for a custom mobility solution delivering banking, insurance, and logistics services to 400M+ customers through 200K post offices across India — bringing digital financial services to 100M+ rural customers.

    400M+
    Customers served
    200K
    Post offices connected
    25 new customers · $100M+ revenueContributed to 25 new customer wins with cumulative sales revenue exceeding $100M across the India Business Unit.

Education

  • [TBD] · Anna University

    MBA (Systems)

    Specialisation in information systems and technology management.

  • [TBD] · Basaveshwar Engineering College

    Bachelor of Engineering (Electronics)

    Foundation in electronics engineering underpinning a career in enterprise software and systems architecture.

Certifications

  • 2024
    Convolutional Neural Networks
    DeepLearning.AI
  • 2024
    Improving Deep Neural Networks
    DeepLearning.AI
  • 2024
    Structuring Machine Learning Projects
    DeepLearning.AI
  • 2022
    AWS Certified Solutions Architect – Professional
    Amazon Web Services
  • 2022
    AWS Certified Developer – Associate
    Amazon Web Services
  • 2022
    AWS Certified SysOps Administrator – Associate
    Amazon Web Services
  • 2022
    AWS Certified Cloud Practitioner
    Amazon Web Services
  • 2022
    AWS Certified Solutions Architect – Associate
    Amazon Web Services
  • 2024
    TensorFlow Developer Specialization
    DeepLearning.AI
  • 2014
    PMP — Project Management Professional
    PMI
  • 2020
    Architecting Microsoft Azure Solutions
    Microsoft
  • 2010
    TOGAF® 9 Certified
    The Open Group

Competencies

Languages

[Language A][Native / Fluent / Professional]

Soft skills

Clear written communication — updates, trade-off analysis, and honest answersDiscovery-first — understand the business problem before writing a line of codeProduction mindset — error handling, security, and cost control from day onePartner, not vendor — no black boxes, no lock-in, clean handoversJudgment under uncertainty — 20 years of high-stakes delivery baked into every decision

Technical stack

AI / LLM
Claude APIOpenAI APIAWS BedrockMicrosoft Copilot StudioGoogle Vertex AIRAG PipelinesPrompt EngineeringLangChainLangGraphCrewAIEvals
Languages
PythonC# / .NETTypeScriptJavaScriptSQL
Frontend
ReactComponent LibrariesData GridsCharting
Cloud
AWS (Lambda, S3, Bedrock, SageMaker)Azure (App Service, Azure AI, Entra ID, Functions)GCP (Vertex AI, Pub/Sub, Cloud Run, Workload Identity)
Infrastructure & MLOps
TerraformDockerKubernetesCI/CD PipelinesModel MonitoringDrift DetectionMLOps
Auth & Security
OAuth 2.0OpenID ConnectMicrosoft Entra IDWorkload Identity FederationRBAC

Let's build something that actually ships

Send me a short message describing your problem — even if it's vague. I'll respond with my honest read on feasibility, a rough approach, and whether I'm the right person for it. If I'm not, I'll tell you that too.

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