Description

🚀 Senior AI Infrastructure Engineer | Dubai | UAE Resident Visa & Freelancer Permit

✨ Experienced AI platform engineer applying MLOPs/DevOps practices to deliver Highly available, robust & Secure Cloud AI applications.

✨ Familiarity deploying AI-based SAAS products with thorough understanding of their Cloud infrastructure.

Key Skills-

MLOps pipelines
LLM app deployment
AWS/GCP/Azure infra for AI workloads
CI/CD for ML models
Docker/Kubernetes/Triton/ONNX/PyTorch deployment
Monitoring, scaling, cost optimization for AI systems
Automation around RAG/search/query systems
Configuration Automation: Utilising Chef for efficient & automated config management.
RAG LLM Evaluation, Prompt versioning.
Performance/Load testing (using Blazemeter),

✨ CI/CD Expertise: Hands-On expertise in Jenkins/Github Actions for automating Builds, deployments, static/vulnerability scanning.

✨ Infrastructure as Code: Cloud-infra provisioning with AWS CloudFormation, Terraform and Pulumi.

Scripting: Advanced skills in Python, Shell, Groovy, and Ruby.

✨ Operational Skills:

GITOps : For managing Application configurations
Cost Optimisation: Strategically reducing AI, Cloud expenses in AWS, Azure, GCP
Observability: Monitoring and analysis through Splunk, CloudWatch, Prometheus and Grafana.

✨Security and Compliance:

Expertise in IAM, 2FA, SSL, and certificate lifecycle management, SAST, SCA, DAST to ensure robust security protocols, OAuth, JW, and SAML-based security models.

💸 FinTech Experience : GE Finance, Norde Finance bank, Mastercard, Tether

🌐 Web3 Experience : Tether, Zoop

📝 Explore My Blog on Medium-

Languages

English
Native or bilingual
Hindi
Native or bilingual
Arabic
Conversational

Workplace preferences

Can work on-site

Dubai City (up to 50km)

Zoop
AI Platform engineer
TECH
September 2025 - Today (11 months)
Dubai - United Arab Emirates
MLOps — Model Serving with NVIDIA Triton Inference Server
Built an end-to-end MLOps pipeline for Zoop to deploy ONNX and PyTorch
models on NVIDIA Triton Inference Server (Docker, REST/gRPC), with
Prometheus + Grafana monitoring of latency and throughput. Improved
throughput ~1.8x via async requests and dynamic batching, and scaled
to GPU inference on an Azure NC-series VM.

**Created infrastructure for AI Recommendation system-
** Created infra for AI recommendation service to show users relevant top 10 reels/post to user on their home feed in Zoop Web3 social media app.

Also created infra for vector embedding storage, indexing etc.
Build an end-to-end AI medical chatbot-
Used Hugging Face LLMs and embeddings, a FAISS vector store, PDF
data source, Flask frontend, and a dockerized CI/CD pipelines on AWS.
MLOps Microsoft Azure Terraform Kubernetes Docker
Tether
AI Devops engineer - Freelance
TECH
November 2025 - May 2026 (6 months)
Dubai - United Arab Emirates
Worked Tether AI SDK health project called QVAC- * Created and managed 140+ Github actions CI workflows for deploying AI applications on Cloud.
Created n8n setup for automated provisioning of GPU VMs on GCP servers.
Supported opensourcing initiative of QVAC projects and mitigate all issues resulting from private to public Github repo.
GitHub n8n MCP Google cloud Microsoft Azure
Ayraa
Principal DevOps engineer
TECH
July 2023 - Today (3 years and 1 month)
Dubai - United Arab Emirates
Worked as an MLOPs engineer for Ayraa, AI Workplace Search and query RAG-based App Developed and maintained in Kubernetes environments.
Wrote business logic and automation using with Claude, OpenAI SDKs.
Worked on prompt engineering, prompt storage/retrieval for Knowledge search purposes.
Python Amazon Web Services Amazon RDS Pulumi Kubernetes