M.Faheem // AI Architect

Muhammed

Faheem

// CURRENT STATE

Principal Engineer. I build the infrastructure that allows AI agents to reason, plan, and execute real work in enterprise environments.

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FOCUS: "AUTONOMOUS ENTERPRISE"

Moving beyond chatbots to reliable, multi-step agentic workflows.

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Status: Available for Contract
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Strategic Capabilities

#engineering_metrics

Turning stochastic model reasoning— Into reliable, deterministic software systems.

100%

Deployment Rate

def scale_intelligence(nodes): return nodes * 10
40+

Production APIs

10

Years Experience

/01

Autonomous Agents

// Digital workers that plan, reason, and execute tasks across your existing software ecosystem.

LangChainAutoGPTVercel AI SDKOpenAI AssistantsGemini 1.5 ProVector Databases
/02

Workflow Automation

// Connecting the dots between isolated systems. If it has an API, I can automate it.

n8nMake.comZapierPython ScriptingCustom WebhooksEvent-Driven Arch
/03

RAG & Knowledge Bases

// Teaching AI about your specific business data without training a model from scratch.

PineconeSupabase VectorUnstructured.ioLlamaIndexSemantic SearchEmbedding Models
/04

Full-Stack Infrastructure

// The robust engineering backbone required to run production-grade AI applications.

Next.js 14TypeScriptNode.jsPostgreSQLAWS LambdaDocker/K8s
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Production Deployments

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03
// SECTION

Experience

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IMPACT ANALYSIS:

Key performance metrics and

architectural contributions.

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  • Architecting custom Large Language Model (LLM) integrations for enterprise clients, focusing on data privacy and local deployment.
  • Designing "Human-in-the-loop" agentic systems that automate complex workflows like customer support triage and legal document review.
  • Conducting technical audits to identify high-ROI opportunities for AI adoption in non-tech native sectors (Logistics, Real Estate, Legal).

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IMPACT ANALYSIS:

Key performance metrics and

architectural contributions.

*/

  • Leading the modernization of legacy enterprise architectures into scalable, cloud-native microservices.
  • Acting as the technical bridge between C-Suite stakeholders and engineering teams for global digital transformations.
  • Mentoring cross-functional teams on adopting AI-assisted development workflows to increase velocity by 40%.

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IMPACT ANALYSIS:

Key performance metrics and

architectural contributions.

*/

  • Mastered the art of "Invisible Tech" — creating complex interfaces that feel simple and intuitive to the end user.
  • Developed robust design systems that ensured brand consistency across rapid product iterations.
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