Nestor Colt

Founder

Barcelona, Catalonia, Spain7 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in deploying large-scale AI platforms on Kubernetes.
Proven track record in cost optimization and governance.
Strong background in Python automation and CI/CD.

Stackforce AI infers this person is a Cloud Architect specializing in AI and automation for enterprise solutions.

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Skills

Core Skills

Cloud InfrastructureArtificial Intelligence (ai)ArchitectureDevops

Other Skills

Platform ArchitectureTechnical Project LeadershipPythonKubernetesAI GovernanceAutomationWorkflow DesignAPI IntegrationREST APIsIT ManagementLarge Language Models (LLM)Project ManagementLinuxServerless ComputingC#

About

Cloud Architect and AI Platform Engineer specialized in AWS-native GenAI, automation, and large-scale Kubernetes deployments. I design and implement resilient, cost-optimized cloud systems—bridging LLM infrastructure, orchestration, and governance. I’ve led enterprise initiatives building LLM and automation platforms (Onyx, LiteLLM, n8n, ChatGPT MCPs) across Kubernetes and AWS, with GPU-enabled clusters, Bedrock inference profiles, and company-wide automation frameworks. My background spans Python automation, CI/CD design, Helm/ArgoCD delivery, and multi-account AWS architecture, alongside LLMOPS practices: lifecycle management, fine-tuning, RAG integration, and operational observability. Focused on pragmatic, production-grade AI systems that balance performance, governance, and reliability—turning complex cloud and AI infrastructure into maintainable, automated platforms.

Experience

7 yrs 5 mos

Total Experience

11 mos

Average Tenure

1 yr 8 mos

Current Experience

The cloud clockwork

Solutions Architect | Founder

Oct 2024 – Present · 1 yr 8 mos · European Union · Remote

Onyx (Enterprise Gen AI Platform) – Deployed the full platform to production on Kubernetes with multi-node workers, scaling, and operational runbooks. Led enterprise onboarding with documentation and tutorials.
LiteLLM gateway – Centralized LLM access through automated key provisioning. Designed the workflow that generates virtual keys per team from a request form with usage tracking and quotas.
AWS Bedrock governance – Implemented inference profiles and tagging by team and business unit for cost tracking and accountability. Established basic guardrails and model routing policies.
ChatGPT Enterprise MCPs and internal GPTs – Created custom connectors for Jira, Confluence, and Backstage. Built internal GPTs exposing REST APIs for integration with internal systems.
n8n (company-wide LLM automations) – Deployed a multi-node Kubernetes cluster for large-scale workflow execution. Authored starter templates, documentation, and onboarding materials to drive adoption.
AKS GenAI enablement – Enabled GPU-based workloads across clusters and accounts to support LLM/ML inference. Standardized Helm deployments for LLM services and jobs.
Backups and DR – Implemented Velero for cluster and namespace backups with documented recovery procedures and tested restores.
Observability – Built Datadog dashboards for LLM gateways, GPU utilization, and performance metrics.
AI governance – Established practical processes for request handling, access issuance, tagging, and usage visibility across AI platforms.
Cost optimization – Introduced tag-based showback via Bedrock profiles and LiteLLM usage metrics; provided guidance on right-sizing and off-peak scheduling.

Platform ArchitectureCloud InfrastructureTechnical Project LeadershipPythonArtificial Intelligence (AI)

Clarivate

2 roles

Lead Cloud Engineer

Promoted

Dec 2023 – Apr 2026 · 2 yrs 4 mos

Organizational tagging strategy: optimized cost allocation (30%), enhanced resource recycling (25%), established chargeback models
AI agentic solutions and DAG orchestration (AutoGen, Llama-Index, LangChain): 40% boost in process automation
LLM expertise: training, fine-tuning (35% performance improvement), prompt engineering (28% accuracy increase), RAG (45% reduction in hallucinations), PEFT (20% efficiency optimization)
Tool consolidation and solution design: 22% cost reduction.
Multi-account compliance setup: 99.9% adherence to regulatory standards
Enterprise architecture for generative AI governance: 100% alignment with corporate policies and ethical guidelines
LLM-Ops platform development: 50% streamlined model deployment, 40% reduction in time-to-production

DevOpsIT ManagementArtificial Intelligence (AI)Large Language Models (LLM)ArchitectureProject Management

Senior Cloud Engineer

Jun 2022 – Dec 2023 · 1 yr 6 mos

Lead event-driven pipelines for infrastructure management + 300 AWS accounts (99.9% uptime achieved)
IAM lifecycle for all the accounts in the ORG (100% compliance rate maintained)
OpenSearch solution improving a complex company-wide logging platform (60% faster ingestion time)
Sustainability and cost optimization (15% reduction in cloud spending)
Solutions architecture and technical implementation (40% increase in system efficiency)
Fargate and container orchestration (70% improvement in resource utilization)
LeadBase AMI / Golden AMI CICD pipeline (80% faster deployment cycles)
Enforce, manage, and integrate cyber security products for VM and CIS.

DevOpsIT ManagementArchitectureLinuxServerless Computing