I specialize in AI data evaluation and quality assurance for large language models, bringing over 11 years of experience in cloud systems and agile quality control. My expertise includes RLHF feedback, data annotation, and rigorous content review, ensuring high-quality outputs in fully remote environments. I excel at applying structured guidelines with precision, consistently delivering accurate results across diverse contexts in the US, Canada, UK, and Europe.
If you need someone to enhance your AI projects through meticulous evaluation and data management, let's connect. I look forward to discussing how I can help elevate your project to the next level.
Data Entry
Market Research
ML Automation
Virtual Assistance
Graphic Design
Digital Marketing
General Transcription
Market Survey
Lucas J.
Sonoma, California
$70/hr
4.1
8 jobs
I build production cloud infrastructure and the AI systems that run on it, LLM agents, RAG pipelines, and FastAPI services deployed with Terraform, secured with IAM and secrets management, built to pass HIPAA, SOC 2, and FedRAMP audits from day one.
100% Job Success Score. Solutions Architect with Google Cloud Premier Partner experience. 6 years architecting across AWS, GCP, and Azure platform, DevOps, AI/ML, and security in regulated environments (healthcare, federal, fintech). My clients run sensitive operations and need infrastructure they own, not SaaS they rent: I deploy it, document it, and hand it off so your team maintains it without me.
Recent results: an AI exception-triage agent with tool calling and confidence scoring, CI/CD rebuilds cutting deploy times 70%, and 30-40% cloud spend reductions for enterprise clients.
👉🏻 CERTIFICATIONS
☑️ AWS Certified Solutions Architect
☑️ Google Professional Cloud Architect
☑️ Google Professional Data Engineer
☑️ Certified Kubernetes Administrator (CKA)
☑️ HashiCorp Terraform Associate
☑️ Azure Administrator (AZ-104)
☑️ Red Hat Certified Engineer (RHCE)
If what you're asking for is a bad idea, I'll tell you before you pay for it. Share your use case and timeline, scoped plan within 24 hours.
Amazon Web Services
DevOps
Python
AI Agent Development
Google Cloud Platform
Kubernetes
Terraform
Large Language Model
Retrieval Augmented Generation
FastAPI
Claude
CI/CD
Docker
Microsoft Azure
Cloud Security
HIPAA
SOC 2
FedRAMP
CMMC
Linux System Administration
Abdullah W.
Santa Clara, California
$45/hr
5.0
5 jobs
Hello, I am a software engineer who has experience designing, building, and deploying AI-applications and agents. My focuses for now are in AI infrastructure, backend systems, and cloud deployments. Most of my work over the last year has been at an AI security startup, where I handled everything from Kubernetes deployments and cloud setup to LLM gateways, policy engines, database management, CICD pipelines, and backend automation among other.
𝗦𝘁𝗮𝗰𝗸: Python, TypeScript/Node.js, React/Next.js, LangChain/LangGraph, FastAPI, Anthropic & OpenAI APIs, Google ADK, Vertex AI, E2B sandboxes
6+ years production experience | San Francisco Bay Area
My goal is simple: help owners and operators remove themselves from day-to-day ops fast. I reduce manual effort, automate repetitive work, and help teams scale without adding headcount.
My philosophy: build repeatable parts with no-code, then use code only where it adds real leverage. That is why I maximize tools like n8n, Make, Claude Code, Openclaw, GoHighLevel, Supabase, and Lovable, plus custom code when needed.
How I work:
1. Diagnose first, build second. 30-min call to map what you have and where it's stuck. If I don't think I can finish it, I'll tell you on the call.
2. Fixed scope, fixed price, fixed timeline. No hourly meters running while I read docs. You know what you're paying and when you're getting it.
3. You own everything. Code in your GitHub, infra under your accounts, no platform lock-in. If you decide to fire me on day 5, you keep the build.
4. Handoff that doesn't require me. Every project ships with a Loom walkthrough, written runbook, and a "here's how to extend this yourself" doc.
Key Highlights:
→ Architected and deployed production-grade multi-agent systems (LangGraph/CrewAI) for clients across finance, legal, healthcare, and enterprise SaaS—including contract review agents, automated research platforms, and RAG-powered knowledge assistants processing 10,000+ documents
→ Led the AI infrastructure division at a Series A cybersecurity startup, scaling a multi-tenant Kubernetes platform to handle 1M+ LLM requests daily while supporting multiple enterprise clients and a team of 8 engineers
→ Holds an M.S. in EECS from UC Berkeley, with a thesis focused on distributed LLM inference and model scheduling on Kubernetes, bridging cutting-edge AI research with production-grade engineering
→ Reduced model deployment time from days to minutes by implementing ArgoCD GitOps, blue/green deployments, and automated CI/CD pipelines across AWS EKS and Azure AKS
→ Delivered measurable business impact: 40% reduction in support ticket response time via AI triage agents, 30% faster incident resolution with full LangSmith/Grafana observability, and 45% cloud cost optimization for legacy migrations through Kubernetes auto-scaling and spot instance strategies
→ End-to-end owner—gather requirements, design system architecture, write clean Python/FastAPI/Go backends, deploy on Kubernetes, and monitor in production. I ship working software, not demos
What it’s like to work together:
Clear milestones, fast iterations, and transparent communication. Expect Loom walkthroughs, Slack or Discord updates when needed, and systems that keep working long after handoff. I aim for long-term partnerships where both sides scale together.
I’m comfortable owning full-stack infrastructure work including but not limited to deployments, debugging, automation, and AI/ML integrations. I prioritize delivering clean, maintainable systems that actually run in production.
No project is too big or complex for me to deliver outstanding results. If your niche isn’t listed above, reach out anyway. I enjoy ramping up on new domains and will jump in if it makes sense for both of us
Cloud Development
Java
Python
Kubernetes
DevOps
AWS Development
Elasticsearch
Google Cloud Platform
Data Engineering
TypeScript
LLM Prompt Engineering
AI Agent Development
AI App Development
Cybersecurity Monitoring
AI Model Training Prompt
Munish G.
Sunnyvale, California
$195/hr
5.0
56 jobs
Google-Grade Reliability for Your Cloud Infrastructure. GCP 10x Certified, AWS 1x Certified, Databricks 1X certified
Senior Infrastructure Architect and former Google SRE (11 years) and Oracle Engineer with over 25 years of experience managing global-scale production environments. If you are looking for a "pair of hands" to write scripts, there are many options. If you are looking for an Owner-Architect to design, secure, and scale your business-critical infrastructure with zero-risk execution, let’s talk.
With 10x GCP Professional Certifications, I specialize in taking complex, high-traffic ecosystems and making them resilient, cost-effective, and simple to manage.
Expertise Across the Stack:
Cloud Architecture: Expert-level design and migration across GCP, AWS, and Hybrid Cloud.
DevOps & SRE: Implementing "True SRE" principles—SLOs, error budgets, and automated toil reduction.
Infrastructure as Code (IaC): Building reproducible, version-controlled environments using Terraform, Helm, Ansible, and Packer.
Kubernetes & Orchestration: Deep experience with GKE, EKS, and self-managed clusters (Rancher).
Security & Compliance: Hardening infrastructure via VPC Service Controls, Zero-Trust IAM, and automated security pipelines.
CI/CD Optimization: Streamlining delivery via Jenkins, GitHub Actions, and Google Cloud Build.
Why Work With Me?
The "Google" Standard: I apply the same rigor and reliability standards I used at Google to your infrastructure, ensuring 99.9% availability.
Cost Efficiency: I specialize in cloud cost optimization, often saving my clients more in monthly cloud spend than the cost of my engagement.
Simplicity at Scale: I believe the best architecture is the simplest one that solves the problem. I build systems that your team can actually maintain.
Technical Proficiencies:
Linux: 20+ years of deep systems-level expertise (RHEL, Debian, Ubuntu).
Automation: Puppet, Ansible, Terraform.
CI/CD: Jenkins, Artifactory, GitHub, Cloud Build.
Containers: Docker, Kubernetes, Container Registry.
Amazon Web Services
Cloud Computing
Terraform
Kubernetes
Docker
Google Cloud Platform
Microsoft Azure
Jenkins
DevOps
Containerization
Git
CI/CD
Google Workspace Administration
Computing & Networking
Security Engineering
Chris N.
Galt, California
$65/hr
5.0
12 jobs
A seasoned Security and Infrastructure Engineer with experience in on-premises, multi-cloud, and network environments. Skilled in designing, deploying, and securing networks using Palo Alto and Cisco Meraki. Successfully migrated email infrastructure to Office 365, enhancing collaboration and security. Proficient in implementing robust email security measures and maintaining optimal network performance. Recognized for expertise in various cybersecurity frameworks, ensuring comprehensive data protection.
Amazon Web Services
Cisco Meraki
Microsoft Azure
Box
Palo Alto Firewalls
Microsoft Exchange Server
Microsoft Exchange Online
Microsoft Active Directory
Office 365
Oleg P.
San Mateo, California
$50/hr
4.4
46 jobs
I am a senior DevOps Engineer with over 11 years of experience. I am passionate about cloud computing, cutting-edge technologies, and crafting efficient solutions. I have configured complex infrastructures from scratch and completed multitude of cloud migrations.
Core Qualifications:
- 11+ years of experience
- 36+ completed projects
- Clouds: Amazon Web Services (AWS), Azure, GCP, DigitalOcean
- Containers: Kubernetes, CoreOS, Docker
- CI/CD: Jenkins, VSTS, GIthub Actions
- Networking: Routing, switching, virtual networking
- Hypervisors: VMware, Hyper-V
- Automation: Ansible, AWS CloudFormation, Terraform
- Databases: Mysql (Galera), PostgreSQL
- Logging: Fluentd, Logstash, Elasticsearch, Kibana
- Monitoring: Zabbix, Grafana, Prometheus
- VPN: OpenVPN, IPsec.
- Web: LAMP, Nginx
Amazon Web Services
DevOps
Docker
Kubernetes
Azure DevOps
Containerization
Orchestration
Automation
Ansible
CI/CD
Cloud Migration
Amazon EC2
Google Cloud Platform
Microsoft Azure
Cloud Architecture
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