Platform Engineering • AI / LLM • Cloud Cost Automation

Where Platform
Meets Intelligence

Elite Engineering. Zero Compromise.

We deploy AI agents that automatically find and eliminate cloud waste, fine-tune LLMs for your domain, and build the platform engineering foundation that scales without limits.

πŸ€– LLM Training & Fine-tuning ☁️ AWS Cost Optimization πŸ“Š Full Observability ⚑ Platform Automation
0+ Years of Success
0+ Projects Delivered
0% Avg AWS Cost Cut
0% Client Satisfaction
Trusted by teams using
AWS Kubernetes Terraform Datadog GitHub Actions ArgoCD PyTorch vLLM

End-to-End Platform & AI Engineering

From AI model training to autonomous cloud cost optimization β€” every layer of your modern platform stack, engineered to scale.

⭐ Core Focus

LLM Training & AI Engineering

Fine-tune and deploy large language models for your specific domain. RLHF, DPO, LoRA fine-tuning, RAG pipelines, and production-grade model serving with vLLM. We cut inference costs by 80% while maintaining model quality.

  • Fine-tuning & RLHF
  • RAG Pipelines
  • vLLM / TGI
  • GPU Clusters
⭐ Core Focus

AWS Cost Optimization

FinOps-grade cost engineering that delivers an average 60% reduction in AWS bills. Reserved Instances, Spot Fleets, right-sizing, idle resource elimination, and custom cost dashboards with real-time anomaly detection.

  • FinOps Strategy
  • Reserved Instances
  • Cost Dashboards
  • Anomaly Detection
⭐ Core Focus

SRE & Observability

Full-stack observability with SLO-driven reliability engineering. Prometheus, Grafana, Datadog, OpenTelemetry distributed tracing, structured logging pipelines, and PagerDuty for on-call incident response.

  • OpenTelemetry
  • Prometheus / Grafana
  • SLO / Error Budgets
  • On-call & Incidents

CI/CD & Platform Automation Pipelines

End-to-end automation from code commit to production. GitHub Actions, GitLab CI, ArgoCD GitOps, blue-green and canary deployments. Every best practice baked in.

  • GitHub Actions
  • ArgoCD / GitOps
  • Blue-Green Deploy

Kubernetes & Containers

Production-grade Kubernetes on EKS, GKE, bare metal. Helm charts, Istio/Linkerd service mesh, KEDA autoscaling, Velero backup, and multi-cluster federation.

  • EKS / GKE
  • Helm & Kustomize
  • Istio Service Mesh
⭐ Core Focus

QA Engineering

Shift-left quality engineering that ships confidence. Automated test suites with Playwright and Cypress, load testing with k6, contract testing, mutation testing, and quality gates that actually block bad code.

  • Playwright / Cypress
  • k6 Load Testing
  • Quality Gates
  • Code Review Process

Full Stack Development

Cloud-native applications built by engineers who understand the full stack. React, Next.js, Node.js, Python, Java, JavaScript β€” with CI/CD, GitOps, and cloud-native architecture built in from day one.

  • React / Next.js
  • Node.js / Python / Java
  • Microservices

Model Training at Scale

Deep learning training pipelines on GPU clusters. PyTorch, JAX, distributed training with DeepSpeed/FSDP, custom CUDA kernels, and MLOps infrastructure on AWS SageMaker and GCP Vertex AI.

  • PyTorch / JAX
  • DeepSpeed / FSDP
  • MLOps Pipelines

Numbers That Speak for Themselves

Averages across client engagements. Individual results vary based on existing infrastructure and scope.

0%

AWS Cost Reduction

Average cost cut across client AWS accounts

0%

Infrastructure Uptime

SRE-managed systems availability SLA

0%

Faster CI/CD Pipelines

Reduction in pipeline run time after optimization

0%

LLM Inference Cost Cut

Average inference cost reduction with vLLM optimization

0%

Test Coverage

Average code coverage across QA-managed projects

0%

Client Satisfaction

5-star reviews across Upwork and Fiverr

AWS Cost Reduction β€” Real Client Data
After linuxo.ai engagement
$29k
Before
β†’
$26k
Month 1
$21k
Month 2
$16k
Month 3
$11k
Month 4
62% Total Cost Reduction
βœ“ Right-sizing EC2 / RDS βœ“ Spot Fleet implementation βœ“ Reserved Instance planning βœ“ Idle resource cleanup βœ“ S3 lifecycle policies βœ“ NAT Gateway optimization

Custom Dashboards We've Built

Real solutions, real impact. From environment scalers to live cost dashboards.

Infrastructure

Environment Scaler Dashboard

A custom control plane that lets teams spin up, scale, and tear down complete staging environments with one click. Reduced environment costs by 70% through automated scheduling.

  • βœ“ One-click environment provisioning
  • βœ“ Auto-shutdown on inactivity (70% cost saving)
  • βœ“ Multi-team environment isolation
  • βœ“ Terraform-backed infrastructure
  • βœ“ Slack / webhook notifications
Environment Scaler
3 Active
staging-api
Running$0.48/hr
staging-frontend
Running$0.24/hr
staging-ml-pipeline
Scaling$1.20/hr
staging-analytics
Stopped$0.00/hr
FinOps

AWS Cost Optimization Dashboard

A FinOps-grade observability dashboard with real-time waste detection. Integrated with AWS Cost Explorer, Trusted Advisor, and custom ML-based anomaly detection.

  • βœ“ Real-time cost anomaly detection
  • βœ“ Resource right-sizing recommendations
  • βœ“ Reserved Instance & Savings Plans tracking
  • βœ“ Per-team cost allocation & chargebacks
  • βœ“ Monthly forecasting with ML trends
AWS Cost Dashboard
March 2025
Monthly Spend $12,480 ↓ 58% vs last month
$29k
Oct
$26k
Nov
$22k
Dec
$18k
Jan
$12k
Feb
EC2 Compute
$5,616
RDS / Databases
$3,120
Data Transfer
$2,246
S3 & Storage
$1,498

AI-Driven Self-Service Portal

We connect to your cloud account, deploy an AI agent that scans every resource, then hand you a live dashboard and a self-service portal β€” so you see the waste, approve the fixes, and watch the bill drop.

Connect AWS / GCP / Azure
Read-only OAuth β€” 2 minutes
AWS GCP Azure
AI Agent Deep Scans
200+ cost signals checked
EC2RDSS3EKSLambda
Waste Detected
Idle, overprovisioned, forgotten
Idle InstancesOversized DBCold Storage
Cost Dashboard Live
Before β†’ After breakdown
KEDASpot FleetRI Planner
Your Portal is Ready
Self-service, real-time, yours
One-Click ApplyTerraformRollback
Cost Overview β€” March 2025
AWS GCP Azure
Current Monthly Spend $34,200 Before optimization
After AI Optimization $14,800 ↓ 56% projected
Monthly Savings $19,400 per month
Resources Scanned 1,247 across 3 accounts
Idle Resources Found 47 items
EC223 instances running <5% CPU for 14+ days$8,200/mo
RDS8 databases with zero active connections$3,600/mo
EKS16 pods with KEDA scale-to-zero eligible$4,100/mo
Overprovisioned Resources 31 items
EC212 instances at >30% over needed size$3,800/mo
RDS6 Aurora clusters, right-sizing possible$2,600/mo
S32.4TB eligible for IA/Glacier lifecycle$2,000/mo
AI Action Plan β€” Ranked by Monthly Savings
K
KEDA: Scale idle EKS workloads to zero (16 deployments)
KEDA β€’ CloudWatch β€’ Event-driven autoscaling
βˆ’$6,200/mo
S
Spot Fleet: Replace 23 idle On-Demand EC2 instances
EC2 Spot β€’ Auto Scaling Groups β€’ Cost Explorer
βˆ’$4,800/mo
RI
Reserved Instances: Convert 12 steady-state EC2 + RDS
EC2 RI β€’ RDS RI β€’ Savings Plans β€’ 1-year term
βˆ’$3,800/mo
DB
RDS Right-sizing: Downgrade 6 overprovisioned Aurora clusters
Aurora β€’ CloudWatch Metrics β€’ Performance Insights
βˆ’$2,600/mo
S3
S3 Lifecycle: Move 2.4TB cold data to IA + Glacier
S3 Intelligent-Tiering β€’ Lifecycle Rules β€’ Glacier
βˆ’$2,000/mo

World-Class Engineering Teams

Every discipline covered. Every layer of your stack, owned by specialists.

SRE Engineers

Site Reliability Engineers who maintain systems at 99.9%+ uptime. On-call, incident response, runbook automation, chaos engineering, and SLO enforcement.

Incident ManagementSLO / SLIChaos Engineering

Observability Engineers

Distributed tracing, logging pipelines, and metrics at scale. We make your black box transparent with full-stack telemetry β€” every request, every service, every error tracked.

OpenTelemetryDatadog / GrafanaLog Analytics

QA Engineers

Shift-left quality assurance that ships confidence. Automated suites, performance benchmarking, quality gates that block bad code, and thorough code review processes that refine every release.

Playwright / Cypressk6 PerformanceTest Strategy

Full Stack Engineers

Engineers who own the entire stack β€” React, Next.js, Node.js, Python, Java, JavaScript. Cloud-native architecture from day one, with CI/CD and GitOps built in, not bolted on.

React / Next.jsNode / Python / JavaCloud-Native APIs

LLM Trainers

AI engineers who fine-tune and deploy large language models. RLHF, DPO, LoRA fine-tuning, red-teaming, model evaluation, and inference optimization for production-safe, cost-efficient AI.

Fine-tuning / RLHFEvaluation & EvalsModel Serving

Model Training Experts

Deep learning specialists who architect and run large-scale training on GPU clusters. PyTorch, JAX, DeepSpeed, distributed training, custom CUDA optimization, and MLOps on AWS SageMaker.

PyTorch / JAXGPU Cluster MgmtDistributed Training

Our Proven Process

From first contact to production β€” a structured approach that delivers results, every time.

01

Discovery Call

We start by understanding your infrastructure, pain points, and goals. No templates β€” a deep technical conversation to map exactly what needs to be built.

02

Architecture Plan

Senior engineers design a tailored solution with diagrams, tech stack selection, cost estimates, and a clear timeline. You approve before we write a single line.

03

Build & Implement

Agile sprints with daily updates. Infrastructure as Code, automated testing, peer-reviewed code. Every change tracked, tested, and production-safe.

04

Deploy & Monitor

Zero-downtime deployments with full observability. Dashboards, alerts, runbooks, and SLOs handed over so your team stays in control after launch.

05

Optimize & Scale

Post-launch we analyze metrics, identify bottlenecks, and continuously optimize. Your infrastructure evolves as your business grows β€” and your costs shrink.

Find Us on Top Freelance Platforms

Verified profiles, proven track records. Book a project on the platform you trust.

Top RatedStatus
100%Job Success
50+Jobs Done

Platform Engineering, Cloud Architecture, Kubernetes, CI/CD, SRE, LLM, and AI/ML projects. Fully verified, top-rated.

View Upwork Profile β†’
Pro SellerStatus
5β˜…Rating
30+Orders Done

Specialized gigs: AWS setup, Kubernetes migration, CI/CD pipelines, monitoring stacks, and LLM deployments.

View Fiverr Profile β†’
CEOAhmad Qayyum
500+Connections

Connect directly with our leadership for enterprise projects, partnerships, and custom engagements.

Connect on LinkedIn β†’

What Our Clients Say

Real feedback from real engineering teams across the globe.

β˜…β˜…β˜…β˜…β˜…
Fiverr βœ“ Verified

"Working with Adnan Fakhar was a great experience. He delivered exactly what I asked for β€” clean, well-structured, and professional work. Communication was smooth throughout the project. He understood the requirements quickly and executed them perfectly. Highly recommend and will definitely work with him again!"

AM
Amelia MurphyClient Β· Fiverr Β· Mar 2026
β˜…β˜…β˜…β˜…β˜…
Fiverr βœ“ Verified

"Adnan is a fantastic and exceptional cloud engineer who can take your application to new levels! Definitely get in contact with him for your deployments!"

AR
ArmondClient Β· Fiverr
β˜…β˜…β˜…β˜…β˜…

"linuxo.ai transformed our entire AWS infrastructure. We went from $28k/month to under $11k β€” without sacrificing performance. The team delivered in 3 weeks what we couldn't do in 6 months."

MH
Michael HendersonCTO, FinTech Startup Β· USA
β˜…β˜…β˜…β˜…β˜…

"The SRE team set up our entire observability stack from scratch β€” Prometheus, Grafana, distributed tracing with Jaeger. Our incident MTTR went from 4 hours to 12 minutes."

SR
Sarah RodriguezVP Engineering, SaaS Platform Β· UK
β˜…β˜…β˜…β˜…β˜…

"We needed someone to fine-tune an LLM for our legal domain. linuxo.ai delivered a model that outperformed GPT-4 on our benchmarks β€” and cut inference costs by 80% with vLLM. Adnan's team is exceptional."

AK
Arjun KapoorFounder, LegalTech AI Β· India
β˜…β˜…β˜…β˜…β˜…

"Best platform engineering team I've worked with. Built our entire Kubernetes platform on EKS with Istio, ArgoCD GitOps, and autoscaling β€” delivered on time and under budget. 10/10 recommend."

TN
Thomas NakamuraPlatform Lead, E-Commerce Β· Japan
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"Ahmad's team set up our entire staging environment scaler. Teams spin up full environments in 2 minutes and costs dropped 65%. The observability dashboards they built give us complete visibility."

RC
Ravi ChandranPlatform Lead, B2B SaaS Β· Singapore
β˜…β˜…β˜…β˜…β˜…

"linuxo.ai's AI cost portal is a game-changer. Within 48 hours of connecting our AWS account, the agent had identified $19k/month in waste we didn't even know existed. One-click fixes made it effortless."

JP
James ParkerHead of Infrastructure, B2B SaaS Β· Australia

The People Behind linuxo.ai

Led by engineers who have built and scaled systems at the edge of what's possible.

Ahmad Qayyum
LinkedIn Verified
CEO & Founder

Ahmad Qayyum

Cloud Architecture Platform Eng AWS FinOps SRE
"
At linuxo.ai, we believe great infrastructure is invisible β€” it just works. Our mission is to give every engineering team access to elite Platform Engineering and AI expertise that was once reserved only for the biggest tech companies. We bring that standard to teams of any size, anywhere in the world.
Connect with Ahmad
Adnan Fakhar
LinkedIn Verified
Co-founder & CTO β€” linuxo.ai

Adnan Fakhar

LLM Training Platform Engineering AI/ML Systems GPU Infra
"
The future belongs to companies that can train and deploy AI models as naturally as they deploy code. At linuxo.ai, we've built the infrastructure expertise to do both β€” we don't just manage your infrastructure, we help you build the AI systems that will define your next decade. Our focus on model quality, cost efficiency, and observability means your AI works in production, not just in demos.
Connect with Adnan

We Operate Worldwide

Remote-first engineering team with offices across 3 continents. Reach us anywhere, anytime.

πŸ‡ΊπŸ‡Έ USAπŸ‡¦πŸ‡ͺ UAEπŸ‡΅πŸ‡° PAK
πŸ‡ΊπŸ‡Έ
United States
New York, NY
350 Fifth Avenue, New York
+1 (212) 555-0100
hello@linuxo.ai
πŸ‡¦πŸ‡ͺ
United Arab Emirates
Abu Dhabi, UAE
Khalidiyah, Abu Dhabi
+971 50 555 0200
dubai@linuxo.ai
πŸ‡΅πŸ‡°
Pakistan
Lahore, Punjab
Johar Town, Lahore
+92 42 555 0300
pk@linuxo.ai

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