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 →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 →