LOG-052
◇ IN THIS LOG
◇ SERIES PATH
◉ 0 READS
Infrastructure
Intelligence Hub
SANI—01
— Field notes from the platform layer. I document what I learn building AI infrastructure, serving models, and running clouds — clusters, GPUs, and pipelines, logged in public.
AI INFRASTRUCTURECLOUDINFERENCEMLOPSDEVOPSPLATFORMML INFRANETWORK
◉ FIELD LOGS
⊗ INFRA BUILDS SHIPPED
⁂ HANDS-ON RATE
00
Runbooks & deep-dives on infra + ML systems
LOG.ALL
00
Clusters, gateways, pipelines — live & reproducible
STK.DEPLOYED
00%
Tested on real GPUs & real bills. No hype.
LIVE.REC ●
◈ FEATURED RUNBOOKLOG-052 / INFERENCE
Serving LLMs at 4x:
vLLM, KV-Cache
& Autoscaling
Inference engineering field log — how continuous batching + PagedAttention took a 7B model from 18 → 74 tok/s on one A10G, and how I autoscale it on Kubernetes without burning budget.
052
Infra Logs
Archived
Archived
TRACK 01 / RUNBOOKS ⊕
14
Stacks
Deployed Live
Deployed Live
TRACK 02 / BUILDS ✕
◉ INFRA KNOWLEDGE BASE — 01
Learning Logs
& Field Notes
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52RUNBOOKS
LOG.ALL
LOG.ALL
09TRACKS ACTIVE
TRK.INFRA
TRK.INFRA
140+DEPLOYS LOGGED
RCV.24H
RCV.24H
07:12NEXT WINDOW
LIVE.REC
LIVE.REC
▣ PLATFORM EVIDENCE — 02
Deployed
Infrastructure Stacks
Not demos — reproducible stacks. Inference gateways, GPU schedulers, IDPs, GitOps pipelines. Each with Terraform/Helm you can actually run.
◉ 09CLUSTERS MANAGED
✳ 1,240PIPELINE RUNS
◉ PLATFORM
ENGINEERING DEPT.
ENGINEERING DEPT.
▣ STK — STACKS BUILT FOR PRODUCTION
INFRA-09 // REPRODUCIBLE
STACKS →
Serving, scheduling,
observability & delivery.
Production-grade infra.
Infra stack
◈ I SANI.LOG — 03
Infrastructure
Signal Index
0% Reproducible
Build Rate
Build Rate
◉ PLATFORM CONTROL PLANE — SEPTEMBER 2026
S1 Platform
Engineering Expedition
◈ | SANI.LOG
Phase 1: Foundations & Clusters
Phase 2: Inference & Autonomy
◌K8s + Terraform BaselineDONE — Q1
◉GitOps + ObservabilityDONE — Q2
⚠Inference Gateway TuningIN PROGRESS — NOW
◉GPU Scheduling + QuotasIN PROGRESS
◎Internal Developer PlatformQ4 TARGET
⧉Base Activation — Teach & PublishALWAYS ON
ID // OPERATOR FILE
Arafat Sani
AI Infrastructure / Inference Engineer
FROM
Tier 1 Triage→TO
Reliable Ops
Tier 1 Triage→TO
Reliable Ops
IT Support Specialist with B.S. Computer Science, M.S. Data Science and 4+ years across help desk, desktop, service desk and NOC-style operations.
09
STACK: WINDOWS 11 / MACOS / MICROSOFT 365 / SERVICENOW / ACTIVE DIRECTORY / TCP/IP / DNS
4+ Years Across Help Desk & NOC Ops ◉
Support Coverage Focus
Windows 10/11, macOS/iOS, Microsoft 365 and Google Workspace, Active Directory/MFA access, LAN/Wi-Fi/VPN and TCP/IP/DNS/DHCP, ServiceNow ticketing and knowledge-base documentation.
PLATFORM AUTHORITY
WINDOWS 10/11, MACOS & IOS90%
MICROSOFT 365 & GOOGLE WORKSPACE88%
TICKETING & SLA OWNERSHIP87%
- ◉ Service Desk & Ticketing Unit
- ◈ Systems / Network Unit
CONTINUE →
AS
IMG // OPERATOR
◉ FULL OPERATOR DOSSIER — EDITABLE IN ADMIN
Arafat Sani
AI Infrastructure / Inference Engineer
AI infrastructure & inference engineer with an M.S. in Data Science and 4+ years of ops roots across help desk and NOC-style environments.
▣ SKILLS // PROFICIENCY
▣ TECH STACK
▣ CERTIFICATIONS
▣ EDUCATION
INFRA COLLABORATION
Builds &
Case Studies
◈ Hiring for IT support, help desk, desktop or service desk — or want onboarding, ticketing and device support done right? I reply within 48 hours.
◇ DISCUSSION