Hi, I'm @jaig1,AI Systems Builder &
Enterprise AI Architect —
Agentic AI, GenAI & RAG
that ships to production.
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.
Featured AI Systems
All projects →Production AI systems delivered end-to-end — scoped, built, hardened, and handed over. Each links to a full case study with architecture and demo.
- 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 - 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
Featured Architecture
Full architecture library →Reference architectures for production AI — with the design decisions and trade-offs behind each.
- Agentic AIReActMemory
Production Agentic AI Architecture
The six-layer anatomy of a single production agent — context engineering, a ReAct core, standardized tool connectivity, a self-critique gate, bounded human oversight, and a memory read/write cycle that compounds capability over time.
Explore the architecture → - Agentic AIOrchestrationGovernance
Multi-Agent Enterprise Architecture
Coordinating specialized AI agents under a central orchestrator to automate complex business workflows — with governance, memory, and human oversight built in from day one.
Explore the architecture → - PlatformDeliveryGovernance
Pre-Approved AI Delivery Architecture
Shrinking AI ideation-to-production from quarters to weeks — a platform pattern selected before demand arrives, a service stack approved once under stated guardrails, and a delivery pipeline where prompts and agent configs ship like code.
Explore the architecture →
Latest Insights
All insights →Six Agent Tools, One Decision
Copilot Studio, Foundry, Agent Framework, the Agents SDK, and declarative agents are not five competing answers to one question. They answer different questions, and most of the confusion goes away once you see which question each one answers.
Read the article →Why We Built Three Systems to Get One Right
How a regional health plan moved from a score-based ML model through a frontier agentic pipeline to a fine-tuned open model — and why each transition was forced by the gap between predicting outcomes and reasoning against clinical criteria.
Read the article →Your Team Builds AI in Weeks. Why Does Shipping Take Quarters?
The case for pre-approving the platform, the stack, and the guardrails before the first app ever asks — so every AI app inherits a paved road instead of starting its own approval journey.
Read the article →When Your Agent Runs Out of Tools
Why a governed coding sandbox became the most valuable component of a Fortune-100 agent deployment — and how the escape hatch turned into a tool factory.
Read the article →From Prompts to Autonomous Teams: The Four Architecture Patterns of Agentic AI
From stateless inference to orchestrated multi-agent systems — how each generation’s limitations became the next generation’s design requirements.
Read the article →Why Your DB Chatbot Needs a Knowledge Graph, Not Just a Schema
Grounding Text2SQL in a knowledge graph enriched with business semantics — so the chatbot doesn’t guess what “high-risk customers” means. It knows.
Read the article →Experience — Major Enterprise Highlights
Full experience →- Amazon Web Services
Principal Solutions Architect · AI/ML Advisory
70% cost reduction · 5× latency gainsGuided AWS enterprise customers through GenAI transformation — serverless GenAI workloads, ML-based automation, and responsible AI at scale.
Learn more → - Income Tax Dept, Govt of India
Chief Architect · National TDS Processing Platform
40M+ taxpayers · 1B+ transactions/yr · 99.9%Re-engineered national tax processing from 12 months to 2 weeks end-to-end — a platform dedicated to the nation by the Finance Minister.
Learn more → - India Post
Chief Architect · Rural Digital Services Platform
400M+ citizens · 170K rural post officesBanking, insurance, and logistics on custom-built $20 hardware — delivered when every major OEM refused the constraints.
Learn more → - Infosys
Principal, Solution & Architecture · India Business Unit
25+ new customers · $100M+ revenueLed enterprise architecture across Fortune 500 and government-scale programs, from cloud transformation to national platforms.
Learn more →