Cloud Team Lead at AKSIQ

Syed Salman Ali

Architecting multi-region AWS infrastructure for a license-based enterprise platform serving 22+ clients across SaaS, on-premises, and Linux deployments.

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Clients Served
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CI/CD Pipelines
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Prod Instances
About
Background

Cloud Team Lead at AKSIQ with 3+ years architecting multi-region AWS infrastructure for a license-based enterprise platform serving 22+ clients across the financial sector.

I manage the full cloud stack including EC2, ECS, RDS, OpenSearch, ElastiCache, S3 across 3 AWS regions. My work spans SaaS, on-premises, and Linux-based deployments with 7 CI/CD pipelines at 100% success rate.

Currently pursuing MS Data Science at FAST NUCES while leading GPU-powered ML infrastructure (L40S, A100) and AI/ML pipeline automation.

Cloud Team Lead
AKSIQ · Jul 2025 – Present
Senior Cloud Engineer
AKSIQ · Mid 2024 – Jun 2025
Associate Software Engineer
AKSIQ · Oct 2022 – Mid 2024
Junior Software Engineer
AKSIQ · Jul 2022 – Sep 2022
salman.config.ts
// infrastructure at AKSIQ
const cloud = {
lead: "Syed Salman Ali",
platform: "Enterprise SaaS",
clients: 22,
regions: ["VA", "OH", "SG"],
deploy: ["SaaS", "OnPrem", "Linux"],
pipelines: 7,
databases: 9,
}
MS Data Science
FAST NUCES · 2026 · CGPA 3.22
BS Computer Science
MAJU · 2022 · CGPA 3.22
Work
What I Build & Manage
01Multi-Region AWS Infrastructure
Designed and managed production infrastructure across 3 AWS regions (Virginia, Ohio, Singapore) for a license-based enterprise platform serving 22+ clients. Provisioned 20+ EC2 instances, 7 ECS clusters, and 9 RDS databases with per-client isolation across SaaS, on-premises, and Linux deployments.
AWSEC2ECSRDSMulti-Region
22+ clients · 3 regions
02CI/CD & DevOps Automation
Architected 7 production CI/CD pipelines using AWS CodePipeline, CodeCommit, and CodeBuild with containerized deployments via ECS. Achieved and maintained 100% pipeline success rate across all microservices including APIs, data bots, forex, commodities, and search.
CodePipelineCodeCommitDockerECS
7 pipelines · 100% success
03GPU & AI/ML Infrastructure
Provisioned and managed GPU compute instances (NVIDIA L40S, A100) for ML model training and inference workloads. Integrated SageMaker for model lifecycle management and built automated training pipelines with EDA, model selection, and canary fallback strategies.
GPUSageMakerL40SA100ML
L40S + A100 GPU compute
04Data, Caching & Search Layer
Managed 9 RDS database instances (PostgreSQL and SQL Server) across multiple regions. Deployed OpenSearch clusters handling 2+ TiB of searchable data, ElastiCache (Valkey) for production caching, and maintained 22+ S3 buckets for backups, Terraform state, and audit logs.
PostgreSQLOpenSearchElastiCacheTerraform
2+ TiB data · 9 databases
Skills
Technical Expertise
EC2 / ECS / Fargate92%
RDS (PostgreSQL + SQL Server)88%
S3 / CloudTrail / CloudWatch90%
OpenSearch / ElastiCache82%
IAM / VPC / Security Groups85%
Contact
Let's Talk

Open to opportunities

Whether you have a role, a project, or just want to connect.

📧i.syedsalmanali@gmail.com📍Karachi, Pakistan💼linkedin.com/in/isyedsalmanali🐙github.com/iSyedSalmanAli