Methodology & Background

Engineering
Autonomous Systems

I help companies move from "AI curiosity" to **production reality**. Leveraging my background at Walmart and Caterpillar, I build the infrastructure that makes Large Language Models actually work for business.

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Trust by Global Teams

How I Work

The Execution Loop

A predictable, engineering-first framework to take your AI product from concept to 24/7 autonomous production.

Strategic Discovery

We identify the high-impact bottlenecks where AI can drive 10x ROI. No 'AI for the sake of AI'—only targeted engineering.

Architecture Design

Designing the blueprint for RAG pipelines and agentic flows. Choosing the right stack for cost, latency, and reliability.

Iterative Engineering

Building in public with rapid feedback loops. We deploy small, testable modules that evolve into full-scale systems.

Production Scaling

Moving beyond the demo. Implementing guardrails, evaluation loops (RAGAS), and 24/7 observability.

Expertise

Core
Capabilities

Focusing on the intersections of RAG, Agentic Orchestration, and Enterprise Platform Engineering.

Build deterministic scaffolding around probabilistic models.

AI is a system, not a prompt. Design for observability first.

Human-in-the-loop is not a weakness; it is a security feature.

Success is measured in business ROI, not embedding similarity scores.

Agentic Orchestration

Complex state-managed graphs using LangGraph and multi-agent topologies.

Advanced Retrieval

Hybrid search, semantic chunking, and cross-encoder reranking for production RAG.

Autonomous Ops

n8n-driven pipelines with error-trigger escalations and self-healing logic.

AI Infrastructure

Model Context Protocol (MCP) servers, Vector DB tuning (HNSW), and scalable APIs.

The Track Record

Proven at Scale

2020 - 2022

Walmart Global Tech

AI-Ready Platform Engineering

KafkaRedisPostgreSQLKubernetesNode.js

Engineered core infrastructure for one of the world's largest commerce platforms, focusing on fault-tolerant systems and API performance.

Optimized order orchestration APIs, reducing latency by 40% for millions of daily users
Designed event-driven architectures that now serve as a foundation for real-time AI ingestion
Authored production release playbooks for zero-downtime microservice migrations

2022 - 2024

Caterpillar

Industrial IoT & Data Intelligence

PythonFastAPITimeseries DBAWSDocker

Built the telemetry backbone for industrial fleet intelligence, managing massive scale real-time data flows.

Scaled ingestion pipelines to handle 100k+ events/min for predictive maintenance AI
Developed Equipment Risk Scoring systems using industrial-scale timeseries analysis
Created internal data-as-a-service APIs for global diagnostic product teams

2024 - Present

Independent AI Architect

Full-Stack AI Engineering

LangGraphMCPNext.jsn8nPineconeFastAPI

Partnering with forward-thinking companies to build autonomous systems that solve real business problems.

Shipped production RAG systems with measurable 95%+ context recall using RAGAS
Automated complex SDR and CS workflows using LangGraph and n8n orchestration
Implemented secure MCP servers to unify internal toolsets for model-driven automation

Engineering Autonomous Systems