DevOps Engineer ยท San Francisco, CA
Hey, I'm Shafeeq Ahamed
DevOps Engineer with 9+ years building cloud infrastructure and running production systems at scale. Saved $834K through AWS optimization and cloud migrations. Specializing in model-serving infrastructure (GPU), Terraform, Ansible, and Kubernetes.
Work Experience
DevOps Consultant @ColorKloud
Key Responsibilities:
- Providing consultation for businesses to help them with AI adoption, compute cost optimization, FinOps, and NIST 800-53 security audits.
- Design and maintain Kubernetes clusters from scratch for applications and models to maintain 99.9% uptime.
- Strategically plan and deploy infrastructure to different regions in AWS with Terraform to reduce cost using internal AWS VPC, S3 data warehousing, batch retrieval, and AWS Batch for processing pipelines.
- Performed compute-based DoD and foreign government contract negotiation studies to precisely estimate the cost of AI weather forecasting contracts.
DevOps Engineer @Atmo AI (Startup, YC W20, C2C via ColorKloud)
Key Responsibilities:
- Architected infrastructure consolidation and migrated to AWS to adopt IaC with Terraform, with dynamic scaling capability of up to 70 GPU servers for a multi-model inference pipeline.
- Spearheaded NIST 800-53 compliance sprint by performing security audits and rearchitecting for DoD tenants.
- Led FinOps drive to save $750,000 annually by migrating cloud assets to AWS, S3 data archival, intelligent bandwidth and capacity decisions, and dynamically creating stateless model inference infrastructure.
- Integrated GitHub Actions CI/CD pipeline for deploying the internal platform and model-serving frontend architecture, which improved release cadence from 2-3x releases per week to multiple deployments per day.
DevOps Engineer @LocationIQ (Startup - Geocoding, Geolocation)
Key Responsibilities:
- Mitigated and resolved issues when on-call to protect the infrastructure, and performed postmortem studies and infrastructure improvements which reduced incidents by 40%.
- Developed 40+ Ansible playbooks and reusable roles to quickly provision and set up virtual machines and maintain consistency across different environments and providers.
- Performed load testing after every geocoder data import with Vegeta to understand bottlenecks and rapidly resolve them, successfully maintaining latency within 50ms globally.
- Conducted routine security audits by performing vulnerability scanning and penetration testing using Nessus, Probely, OWASP ZAP, Metasploit, and npm to avoid potential risks per OWASP Top 10 vulnerabilities.
- Regularly took part in importing geocoding and geolocation data from various sources, building and compiling the data, and performing regression testing to approve rollouts to 80+ production servers.
- Collaborated with the business team to solve technical production tickets and feature requests while maintaining consistency across MySQL, PostgreSQL, and Elasticsearch databases.
DevOps Engineer @Zudioz
Key Responsibilities:
- Started as system admin and moved to DevOps within a year, then managed the complete AWS stack.
- Responsible for provisioning and maintaining 25+ Linux servers in AWS for Joomla, Magento, and WordPress hosting.
- Planned and developed Bash scripts to keep backups of approximately 5 TB of data on and off site to reduce total MTTR.
Skills
Languages & Scripting
IaC & CI/CD
Databases & Storage
Cloud, Containers & Tools
Projects
PingPulse
Lightweight observability for stage-based workflows and AI agents. Model your pipeline as stages (ingest to validate to route to LLM to action), track health, latency, and context per stage plus agent handoffs, and get alerts when steps fail, stall, or run out of order. Simple one-line integration per stage with timelines and API-based approvals - workflow-level visibility, not just raw logs.
Site is currently down to save cost (pingpulsehq.com)
GPU Model-Serving for DoD Weather Forecasting
Architected AWS ECS infrastructure with Nvidia H100 GPUs scaled to 70 concurrent multi-node weather forecast jobs for DoD clients. Cut deployment time by 83% (1 hour to 10 minutes), saved $750K annually through GPU rightsizing and Batch scheduling, and held 99.9% uptime with NIST 800-53 compliance.
ColorKloud - AI & Serverless Consulting
Founded a consulting practice deploying 17 production serverless apps (observability, fintech, ecommerce, ops dashboards) on Cloudflare Workers with D1. Integrated Stripe, RevenueCat, Twilio, Supabase, Clerk, and Okta. Built AI-powered OCR pipelines with Cloudflare Workers AI and AWS Bedrock.
LocationIQ - Cost, Latency & Reliability
Migrated 40% of on-premise workloads to AWS saving $84K annually. Dropped p95 latency 75% (100-200ms to under 50ms) with HAProxy routing. Reduced critical vulnerabilities 80% via security pre-checks, and automated CI/CD with AWS CodePipeline across hybrid infrastructure.
Micro Projects
Thumbnail/Display image auto-compression using AWS Lambda & AWS S3
Created a Lambda function that compresses image files from an S3 bucket (thumbnail), stores the compressed images in another bucket (compressed-thumbnail), and deletes the source images.
Integrating a GitHub Repository with Cloudflare Pages for Static Websites
This guide walks you through setting up a static website using Cloudflare Pages and integrating it with a GitHub repository at no cost. Additionally, this guide explains how to set up and pay for a custom domain for your website and integrate it with Cloudflare Pages.
Python + Selenium Integration
Introduction to Selenium for browser automation: replicate user actions, automate form submissions and data entry, navigate pages, and handle repetitive tasks programmatically - for example, automating data entry from an Excel spreadsheet into a Google Form.
Education & Certifications
AWS Certified - DevOps Engineer Professional
Amazon Web Services
Professional-level certification covering continuous delivery, automation, monitoring, and high-availability architectures on AWS.
AWS Certified - SysOps Administrator Associate
Amazon Web Services
Associate-level certification focused on deploying, managing, and operating workloads on AWS.
AWS Educate Machine Learning Foundation
Amazon Web Services
Foundational training covering machine learning concepts, use cases, and AWS ML services.
AWS Educate Introduction to Generative AI
Amazon Web Services
Introductory course on generative AI concepts, applications, and AWS generative AI services.
AWS Educate Getting Started with Serverless
Amazon Web Services
Introductory training on serverless architecture and building applications on AWS serverless services.
B.E. in Electrical & Electronics Engineering
Anna University, Chennai, India
Foundation in embedded systems, control systems, and microcontroller programming.