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M · AhsanAgentic AI Engineer
M·AHSAN, home

Muhammad Ahsan · Riyadh, Saudi Arabia

Agentic AIEngineer

I design and deploy secure, autonomous multi-agent systems — LangGraph, CrewAI, and MCP, running in production.

Autonomy isn't prompted. It's engineered — part by part.

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Agent Command Center

The orchestration pattern I run in production. This isn't a mockup — it's the real architecture pattern behind my production multi-agent systems.

Orchestration graph

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RUN 042orchestrator@ahsan · livestreaming
Framework arsenal

The orchestration stack I build with — each grounded in real projects and certifications.

16 frameworks

LangGraph

ExpertOrchestration

Built browser-integrated workflow sidekicks and the autonomous agent loops that automate client comms and vendor matching at Wanhar Impex.

CrewAI

ExpertOrchestration

Engineered autonomous agent teams that draft contracts and coordinate multi-step business workflows.

AutoGen

AdvancedOrchestration

Designed multi-agent conversation networks and swarms for collaborative task decomposition.

Claude Agent Teams

AdvancedOrchestration

Deployed multi-agent networks and orchestrators with Claude Code subagents, driving automated feature development wired into Jira and GitHub.

OpenAI Agents SDK

AdvancedOrchestration

Orchestrated complex multi-agent systems and hand-off logic across specialized worker agents.

Bedrock AgentCore

AdvancedOrchestration

Built production multi-agent loops on AWS with Lambda, SQS, and Aurora Serverless for scale.

Model Context Protocol

AdvancedProtocol

Integrated multi-server MCP environments so agents reach tools, data, and each other through a shared protocol.

LangChain

AdvancedLLM Engineering

Composed RAG chains and production interfaces over open-source vector datastores.

LangFuse

ProficientObservability

Instrumented LLM observability, cost tracking, and guardrails across production agent runs.

Hugging Face

AdvancedLLM Engineering

Fine-tuned and served open-source models; ran QLoRA on top of the HF ecosystem.

Claude Code

ExpertTooling

Runs high-velocity delivery with Claude Code, Cursor, and MCP — context managed via AGENTS.md and CLAUDE.md.

Token & Context Optimization

AdvancedOptimization

Cut LLM cost and latency with prompt/context compression, caching, and token budgeting — measured and tuned through LangFuse.

LLMOps

AdvancedObservability

Run production LLM operations end to end — observability, cost tracking, guardrails, and evals — alongside classic MLOps.

Agent Deployment

AdvancedDeployment

Ship agents to production on AWS with Bedrock AgentCore, Lambda, SQS, and Aurora — automated via Terraform and GitHub Actions.

GSD

AdvancedMethodology

My agentic workflow methodology for shipping features fast with coordinated coding-agent teams.

Gastown

AdvancedOrchestration

Used Gastown to build and wire multi-agent workflows.

Autonomous Vendor-Matching Pipeline

Wanhar Impex · Director & AI Engineering Lead

real workflow · condensed
  1. 01
    Intake
    Orchestrator

    Shipment request enters the graph as typed state.

  2. 02
    Plan
    Planner

    Goal decomposed into retrieve → draft → review → execute.

  3. 03
    Retrieve
    Researcher

    RAG over the vendor + freight vector store.

  4. 04
    Draft
    Coder

    Bilingual RFQ and contract terms generated from context.

  5. 05
    Audit
    Reviewer

    Security & privacy guardrails redact and approve.

  6. 06
    Execute
    Executor

    Approved action dispatched through MCP tool servers.

  7. 07
    Trace
    Observer

    Tokens, cost, and latency logged via LangFuse.

A real production workflow — condensed. Automates vendor sourcing, outreach, and contract drafting with a security gate on every hand-off.

Capabilities

Agentic AI & Orchestration

01

Multi-agent networks, swarms, and autonomous loops in production.

LangGraphCrewAIAutoGenOpenAI Agents SDKBedrock AgentCoreClaude Agent TeamsMCP

LLM Engineering

02

From inference to training — RAG, fine-tuning, and vector stores.

RAG PipelinesQLoRA Fine-TuningVector DatastoresLangChainHugging FaceGradioPrompt Compression

MLOps & Cloud

03

Serverless AI on AWS, Azure, and GCP — automated with IaC.

AWS Lambda / SQSAurora ServerlessTerraformGitHub ActionsLangFuseCI/CD

Machine Learning & Data

04

Classical ML, deep learning, and statistical modeling.

PythonScikit-learnTensorFlow / KerasXGBoostPandasNLP / NLTKComputer VisionTime Series

Dev Automation

05

High-velocity delivery with agentic coding tools.

Claude CodeCursorCopilotCodexAGENTS.md / CLAUDE.mdJiraGitHub
0+
Certifications earned

Including Google Advanced Data Analytics, Python 3 Specialization, EHE, and Agentic AI tracks.

Top 0
Global rank on TryHackMe

TryHackMe leaderboard rank — backed by EC-Council Ethical Hacking Essentials and TryHackMe security certifications.

0
Engineering case studies

Across agentic AI, machine learning, RF security, and IoT systems.

0+ yrs
Shipping production systems

Leading AI, automation, and software delivery at Wanhar Impex since 2020.

Credentials · 45+ earned

39 documented certifications across agentic AI, data science, security, and engineering — the foundation under the work.

  • Udemy · Jul 2025
  • Udemy · Apr 2026
  • Udemy · Jun 2026
  • Udemy · Jun 2026
  • Udemy · Apr 2026
  • Mentoga · Jun 2025
Supporting Skills

The foundations under the AI — security, data, and hardware.

Cybersecurity

Ethical hacking, forensic analysis, and secure-by-design pipelines.

Ethical Hacking (EHE)TryHackMe · Top 3Web App TestingDigital ForensicsSecurity Guardrails

Data Analytics

Google-certified advanced analytics and statistical modeling.

Regression AnalysisStatisticsTableauEDAData Pipelines

IoT & Wireless SDR

RF communication, SDR, and physical sensor integration.

HackRF / SDRRTL-SDRArduinoRaspberry PiESP8266Embedded C++Flutter
Open to Work

Available for AI Engineer, Generative AI Engineer, Machine Learning Engineer roles — on-site in Riyadh or remote worldwide.