Advisory & Architecture Services

🧠

Agentic AI & Multi-Agent Systems

Design and deploy autonomous AI agents that orchestrate mission-critical enterprise workflows. From Wall Street compliance automation to semiconductor quality assurance — multi-agent systems built for zero-downtime, high-stakes environments.

LangGraphAutoGenCrewAITool-UseFunction Calling
🔍

Enterprise RAG & Semantic Search

Production RAG with hybrid search, Cohere re-ranking, and NeMo Guardrails. 500K+ documents indexed at 95%+ retrieval accuracy across regulated pharma and financial services — where hallucination is not an option.

LangChainLlamaIndexPineconeWeaviateCohere
🏢

AI Center of Excellence Design

Architected global AI Centers of Excellence: LLM benchmarks (MMLU, HumanEval), rigorous model selection governance, centralized prompt libraries, and team enablement operationalized across 15+ business units worldwide.

MLflowW&BModel EvaluationGovernance
🛡

AI Governance & Responsible AI

OWASP LLM Top 10 compliance, model drift monitoring, bias auditing, PII redaction, and hallucination mitigation. The same defense-in-depth security rigor applied to Zelle®’s payment infrastructure, now applied to AI.

NeMo GuardrailsGuardrails AIOWASP LLMBias Auditing

Cloud AI Infrastructure

Multi-cloud AI across AWS, Azure, and GCP. Hybrid inference with on-prem GPU clusters, Kubernetes orchestration, and Terraform IaC automation — from sovereign semiconductor workloads to Wall Street latency requirements.

AWS BedrockSageMakerAzure OpenAIVertex AITerraform
🔄

Enterprise Integration & Modernization

Integrate AI into Salesforce, ServiceNow, SAP, and Veeva. Event-driven architectures with Kafka, API-first with MuleSoft, containerized microservices — the same integration patterns that modernized 35-year-old Wall Street platforms.

MuleSoftKafkaSpring BootDocker/K8sFastAPI

Technical Arsenal

AI / ML / Gen AI

GPT-4oClaudeLlama 3GeminiMistralLangChainLangGraphLlamaIndexSemantic KernelAutoGenCrewAIRAG PipelinesPineconeWeaviateChromapgvectorFAISSPrompt EngineeringLoRA/QLoRANeMo GuardrailsMLflowW&BComputer VisionUiPath RPA

Cloud & Infrastructure

AWS SageMakerAWS BedrockEC2/LambdaS3/RDS/EKSCloudFormationAWS IoTAzure OpenAIAKSGCP Vertex AIBigQueryTerraformDockerKubernetesGitHub ActionsJenkins

Architecture & Integration

Spring BootNode.jsFastAPIMuleSoftKongKafkaRabbitMQGraphQLTOGAFAWS Well-ArchitectedSalesforceServiceNowOKTA/OAuth 2.0HyperledgerEthereum

Data & Analytics

Apache SparkHadoopPostgreSQLOracleMongoDBRedisNeo4jData LakehouseKafka StreamsETL/ELTSpark MLlib

How I Work

01

Discover

Deep-dive into business objectives, technology landscape, and AI maturity. Identify the highest-leverage transformation opportunities.

02

Architect

Design production-grade AI architecture: model selection, data pipelines, infrastructure, governance frameworks, and enterprise integration — built for scale from day one.

03

Build & Prove

Rapid proof-of-concept with production-grade guardrails, security, and observability built in from the start. No throwaway prototypes.

04

Scale & Govern

Pilot to enterprise platform. AI Center of Excellence standup, team enablement, and continuous optimization — operationalizing intelligence organization-wide.

Need This Expertise?

From Zelle® to semiconductor AI — let’s discuss how battle-tested architecture accelerates your enterprise transformation.

Engage Me →