Muhammad RashidSenior Platform Engineer

I build backends and the AWS platforms they run on.

6+ years shipping production software. Right now I run the backend, AWS infrastructure and CI/CD for a commerce and delivery business in Mexico, including its LLM features.

Watch 2-min pitch Work with me Subscribe 37.2K

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00The film · 2:28 · Muhammad's voice

Why founders & CTOs build production AI with CodeWithMuh.

Narrated in my own voice: why fragmented contractors stall AI projects, and the 4 reasons teams bring me in to own the entire stack—from Next.js and mobile apps to Django, vLLM on SageMaker GPUs, and 12 Terraform modules.

Book a 30-min blueprint session →Download V2 MP4 ↓

fig. 00 · One Engineer, 4 Layers0:00 / 2:27

01 · One Engineer, 4 Layers

00A note before the work

Most portfolios show demos. This one shows systems in production: a commerce and logistics platform in Mexico, vision models on GPUs, an open-source stack anyone can run. I design the infrastructure, write the services, ship the apps, and run the models in between. Then I teach it.

01Systems in production

Five systems. Real stores, real GPUs, real traffic.

Private client systems link to a written case study, never to their code. The open-source ones link straight to the code and the running thing.

01/ 05Commerce + last-mile logistics · Mexico

Logistika Urbana

Principal Full-Stack Engineer (contract) · 2024 — present

A multi-brand retail, wholesale and delivery platform: Yoon Lab K-beauty stores online and on the street, Fleksi delivery, a driver network. Built and run end to end by a two-person team.

26 domain modules, ~535 API routes, 436 automated tests on the core backend
11 Terraform modules: VPC, ALB + WAFv2, ECS Fargate, RDS Multi-AZ, Redis, OpenSearch, GuardDuty
EC2 → Fargate migration (March 2026) with deployment circuit breakers and automatic rollback
Keyless OIDC CI/CD: SHA-tagged images, migrations as one-off tasks, a TLS-validated health gate
Native driver apps in Kotlin and SwiftUI, an offline-first POS, kiosks, a React admin

Django / DRFCeleryPostgreSQLRedisOpenSearchTerraformECS FargateStripeKotlinSwiftUI

Read the case study →

fig. 01production topology · aws mexico

~2,300 commits19 repositories4 Fargate services

02/ 05Vision LLM · Yoon Lab

AI skin analysis, in a retail store

Production AI feature · 2026

Customers scan an in-store QR code, take a photo, and get a personalised routine built only from products that are actually in stock. Claude and OpenAI sit behind a provider layer that can be switched at runtime.

JSON-schema structured outputs, one-hour prompt caching, refusal fallbacks
An evaluation harness sweeps model × reasoning effort against independently labelled photos, with pass gates written before the results
Per-device, per-email, per-/24 and per-store quotas; HMAC-signed QR tokens; a per-store daily cap is the hard ceiling on spend
No facial images stored, by design (Mexican LFPDPPP)

Claude APIOpenAI ResponsesJSON SchemaPrompt cachingDjangoHMACEvals

Read the case study →

fig. 02request path · controls

runtime-switchable providerhard spend ceilingzero image retention

03/ 05Open-weight vision models on one GPU

Zero-retention AI KYC

Fintech client · 2026

Identity documents go in, structured fields come out, and nothing is kept. Two vision-language models share a single L40S behind a custom SageMaker router.

Qwen3-VL-8B (FP8) and PaddleOCR-VL served with vLLM on one 48 GB L40S, roughly a 75/25 memory split
A FastAPI router implementing SageMaker's /ping and /invocations contract; weights loaded offline from S3
12 Terraform modules with content-addressed endpoint configs, so a no-op apply never triggers a 15-minute reload
A GPU lifecycle controller: always-on, scheduled, on-demand with idle stop, or off. Never mid-document
Data Capture disabled and asserted by test; PII-redaction invariants gate CI

vLLMSageMakerQwen3-VLPaddleOCR-VLFastAPITerraformECRGitHub Actions OIDC

Read the write-up →Architecture & API docs ↗

fig. 03inference path · gpu lifecycle

1 GPU, 2 models12 Terraform modules~10 GB inference image

04/ 05AI policy & compliance analysis · US SaaS

LexGuard AI

Lead Backend Engineer, Platform & ML Integration · 2025 — 2026

Took a data-science team's GPU models and made them a product: async inference, durable result ingestion, and a database per tenant.

Qwen2.5-3B LoRA rule extractor and RoBERTa NER on SageMaker async endpoints, autoscaling 0 → 5
Continuation-token batching and partial-result merging for documents too large for one invocation
Celery ingestion with auto-save, 40 retries and a five-minute sweeper that re-queues anything pending
Database-per-tenant on Aurora PostgreSQL: a Django DB router, async provisioning, RDS Proxy
Top contributor: 338 of 1,109 commits in six months

DjangoCelerySageMaker asyncAurora PostgreSQLRDS ProxyFAISSDockerGitHub Actions

Read the case study →

fig. 04ml integration · tenancy

db per tenantasync GPU inferencedurable ingestion

05/ 05Open source · MIT

Private LLM Chat

Creator & maintainer · 2026 — present

A self-hosted ChatGPT-style platform for open-weight models on your own GPU. Several models per GPU, weights from S3, an optional no-internet VPC, and a GPU that switches itself off when idle.

Qwen, Llama, Gemma and DeepSeek served with vLLM on Amazon SageMaker, scaling to zero
Django API and React app: streaming chat, documents and images with OCR, Whisper voice input, web search, Google sign-in with 2FA
Terraform for the whole stack: ALB, CDN, ECS, SageMaker, database, network, ECR, CI/CD
A laptop-first path with Docker Model Runner; a Google Cloud Run (GPU) port in progress
A docs site with guides, architecture, GPU sizing, cost and API reference

vLLMSageMakerTerraformDjangoReactWhisperS3Cloud Run

llm.codewithmuh.com ↗Architecture docs ↗Source on GitHub ↗

fig. 05self-hosted stack

MITscale to zerodocs site

02Counted, not rounded up

as of October 2026 · github · youtube · upwork

Repositories128 public · github.com/codewithmuh

Forks420 stars across public repos

SubscribersYouTube · @codewithmuh

VideosAI engineering, AWS, Terraform, LLM apps

Articles2022 → 2026 · codewithmuh.com

AWS certificationsDeveloper Associate · AI · Cloud Practitioner

ContractsUpwork · Top Rated · 100% job success

Years in productionPython, AWS, mobile, models

Featured byReplit Nexos.ai Consensus Hostinger

03One person, the whole stack

From the screen in the store to the GPU in the region.

Four layers, one owner. That is what lets a two-person team run a platform that would normally take a department.

01Surfaces· What people touch

01

Surfaces

What people touch

Storefronts, admin, driver apps, store operations, kiosks.

Next.js / React
TypeScript
Kotlin · Jetpack Compose
Swift · SwiftUI
Offline-first POS
React Native

02

Services

Where the business logic lives

The largest one: 26 modules, ~535 routes, 436 tests.

Python
Django / DRF
Channels (WebSockets)
Celery + beat
FastAPI
PostgreSQL
Redis
OpenSearch
Stripe
Twilio

03

Models

Hosted and self-served

Structured outputs, prompt caching, evals, quotas. I run models; I don't train them.

Claude API
OpenAI
vLLM
SageMaker endpoints
Qwen3-VL · PaddleOCR-VL
pgvector RAG
LangGraph
Vapi · ElevenLabs

04

Platform

What keeps it up

EKS, Helm and Argo CD live in the open-source reference builds.

Terraform
AWS ECS Fargate
RDS Multi-AZ
ALB · WAFv2
Secrets Manager
GuardDuty
GitHub Actions (OIDC)
CloudWatch
Prometheus · Grafana · Loki
gitleaks

04Seven years, in order

Freelancer, founder, CTO, principal engineer.

Every step was remote, from Lahore, for teams in Portugal, the United States and Mexico.

2019
Fiverr: 100+ machine-learning and data projects while at university
Level 2 Seller
2020
M.Sc. Computer Science, University of the Punjab
Lahore
2020
Founded LozpData; started on Upwork
Top Rated · 100% Job Success
2022
Started writing. The first of 82 posts
codewithmuh.com
2023
APOLOP2P: backend engineer, promoted to CTO
Portugal · remote
2023
CodeWithMuh on YouTube
37.2K subscribers today
2024
Logistika Urbana: principal engineer for a live commerce and logistics platform
Mexico · ongoing
2024
Taught a two-month DevOps program to 15+ US students
Terraform · Docker · Kubernetes · AWS
2025
Three AWS certifications
Developer Associate · AI · Cloud Practitioner
2025
LexGuard AI: lead backend engineer, platform & ML integration
United States · 2025 — 2026
2026
Founded AISeekho.pk; shipped AI KYC on vLLM; open-sourced Private LLM Chat
the year of running models
2026
Open-sourced Tasuki, a last-mile delivery platform with SLOs, load tests and game days
Go · Kafka · EKS · Argo CD

05Teaching

I teach what I run.

37.2K subscribers · 86 videos · 82 articles · a 1,700-reader newsletter. Everything on the channel comes from a system that is actually live.

On YouTubeSubscribe37.2K

Claude Code = Stunning Websites FAST

Jun 19, 2026 · AI Coding · Web Design · open on youtube ↗

Up next

All 86 videos on YouTube ↗

Writingall 82 posts →

Longer pieces on DevOps live at devopsbymuh.com.

Free on this site

06Open source & products

Built in public. Run it yourself.

128 public repositories, 420 stars, 611 forks. Every product ships with a live URL and a repository you can clone.

three-tier-devsecops-project★ 22⑂ 134Terraform · K8s ai-voice-agent★ 22⑂ 10Python react-aws-ec2-nginx★ 19⑂ 41JavaScript django-starter-kit★ 18⑂ 9Python blogprojectdrf★ 18⑂ 93Python ai-support-agent★ 14⑂ 5Python ci-cd-configurations-files★ 13⑂ 26YAML backend_course★ 12⑂ 28Python hearthline★ 8⑂ 5TypeScript · Python react-aws-eks-github-actions★ 8⑂ 25Terraform django-aws-ec2-autoscaling★ 7⑂ 15Python private-llm-chat-sagemaker-aws★ 1⑂ 0Terraform · Python

01
Tasuki
Open-source last-mile delivery platform: idempotent orders, a Kafka location pipeline, dispatch on real roads, live tracking, written SLOs and game days. Load-tested at 18,144 orders/h on one laptop.
Open source · MITLive ↗Architecture ↗Code ↗More →
02
Cartlift
Ecommerce growth daemon: a four-lens audit in ~30 s, drafted variants shipped through a 3 KB snippet, a Thompson-sampling allocator that pins the winner.
Live · MITLive ↗Code ↗More →
03
Hearthline
The 24/7 AI front desk for home-service businesses: answers calls, qualifies, books, drafts photo-based quotes. Ten UI languages, Japanese included.
BetaLive ↗Code ↗More →
04
Private LLM Chat
Self-hosted chat for open-weight models on your own GPU. vLLM on SageMaker, Terraform for everything, scale to zero.
Open source · MITLive ↗Architecture ↗Code ↗More →
05
AI Receptionist
Voice agent on Vapi with a Claude tool-use loop: calendar booking, Twilio SMS, call logging.
Open source · MITCode ↗More →
06
AI Support Agent
WhatsApp, Telegram, Gmail and web support with Haiku triage, Sonnet answers, pgvector retrieval and human escalation.
Open sourceCode ↗
07
AI Hiring Agent
Claude resume scoring, a voice screening call, transcript analysis. Django and Next.js.
Open sourceCode ↗
08
Three-Tier DevSecOps on EKS
The reference pipeline: Terraform, Jenkins, Argo CD GitOps, Trivy and SonarQube scanning, Prometheus and Grafana.
Open source · MITCode ↗More →

All open source →AI agents →DevOps projects →All 128 public repos ↗

07Work with me

Let's build something that stays up.

01
Build with me
Founders & teams
A free 30-minute session to architect your system: an AI feature, an agent, a platform or the cloud under it. Bring the idea, leave with a blueprint.
Book a session
02
Hire me
Hiring managers
Senior platform, backend and DevOps roles, including AI-platform work. Remote, worldwide.
Case studies LinkedIn ↗Email me
03
Contract work
Clients
Top Rated on Upwork with 85+ contracts and 100% job success. AWS, Terraform, Django, LLM features.
Services Upwork ↗
04
Sponsor a video
Developer-tool brands
Builds and reviews for 37.2K engineers. Replit, Nexos.ai, Consensus and Hostinger so far.
Media kit

Or just write

contact@codewithmuh.com

WhatsApp Contact form →

Lahore, Pakistan · ––:––Remote, worldwide

I build backends and the AWS platforms they run on.IbuildbackendsandtheAWSplatformstheyrunon.

Talk to your inbox and GitHub.

See what matters

Just ask

Approve the draft

Why founders & CTOs build production AI with CodeWithMuh.

Five systems. Real stores, real GPUs, real traffic.

Logistika Urbana

AI skin analysis, in a retail store

Zero-retention AI KYC

LexGuard AI

Private LLM Chat

From the screen in the store to the GPU in the region.

Surfaces

Services

Models

Platform

Freelancer, founder, CTO, principal engineer.

I teach what I run.

Claude Code = Stunning Websites FAST

Built in public. Run it yourself.

Tasuki

Cartlift

Hearthline

Private LLM Chat

AI Receptionist

AI Support Agent

AI Hiring Agent

Three-Tier DevSecOps on EKS

Let's build something that stays up.

Build with me

Hire me

Contract work

Sponsor a video

I build backends and the AWS platforms they run on.