Vetted Infrastructure as Code Professionals

“Cloud consulting veteran building DragnCloud, an agentic cloud infrastructure builder aimed at teams outgrowing Heroku/Supabase who need complex setups (data pipelines, custom LLM hosting, multi-tier apps) without hiring consultants. Has SaaS background and has served as a Fractional CTO for funded companies; currently focused on landing the first 20 customers and expanding automation into higher-value workflows.”

“Cloud/SRE-style engineer at TDS supporting revenue-critical transportation SaaS platforms on AWS/GCP with Kubernetes. Has hands-on experience leading high-impact production work including DDoS mitigation, zero-downtime MSSQL→PostgreSQL migration using CDC, and building secure GitHub Actions + ArgoCD delivery pipelines and Terraform-based GKE infrastructure.”

Priyanka Ramesh

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React

Boston, MA2y exp

“Backend engineer (IpserLab) who owned Python services for a production quiz/analytics platform, focusing on reliability and low-latency behavior under peak load. Hands-on with Kubernetes + Docker deployments and GitHub Actions CI/CD in a GitOps-style workflow, including solving configuration drift and enabling fast rollbacks. Also implemented Kafka-based event streaming with idempotent consumers and strong observability (lag tracking, structured logging, alerting).”

Nash Boisvert

Screened ReferencesStrong rec.

Senior Full-Stack Software Developer specializing in web, mobile, and cloud platforms

Edmonton, Canada5y exp

“Frontend engineer who built a live sports games hub end-to-end: ingesting and normalizing data from 4 external APIs, populating a high-volume live table, and delivering a real-time WebSocket-driven React/TypeScript dashboard. Strong on scalable architecture (SOLID, layered design, queues), performance/load testing with Docker, and startup-style ownership across code review, QA, and staged rollouts to web and app stores.”

“ML engineer with hands-on experience taking a Gaussian Process Regression-based intelligent survey timing system from build to real-world deployment, including a 3-week RCT on 120 participants and measurable improvements (15% response rate, 23% data quality). Also served as a key technical resource at CData for customer-facing demos and debugging hundreds of production issues, bridging engineering with Sales and Customer Success.”

Vladimir Novick

Screened ReferencesStrong rec.

Executive CTO and Software Architect specializing in AI systems and cloud platforms

Israel, Israel22y exp

“Startup-minded technical founder currently running Novicklabs and building Itervox.dev, an AI agent orchestration platform for developer teams. Previously served as CTO at EventLoop and shows strong insight into multi-agent tooling, observability, security, and the open-source-to-cloud path for developer infrastructure products.”

“Cloud/Linux infrastructure engineer focused on high-availability AWS platforms (EKS/EC2) with strong observability and incident response ownership. Has hands-on experience building secure CI/CD (GitHub Actions/Jenkins) and Terraform-based IaC at scale, including resolving real production issues like peak-traffic latency and Terraform remote state locking; transparent about not having direct IBM Power/AIX/PowerHA production ownership.”

“DevSecOps/AWS infrastructure engineer at Madison Logic who owns a 15-account AWS footprint and treats nearly all AWS resources as code (Terraform/CloudFormation). Led a CI/CD platform migration (Bitbucket → GitLab + GitHub Actions) supporting WordPress and containerized microservices, improving release frequency to weekly/daily, and has hands-on production incident response experience on ECS Fargate using Datadog with fast rollback via immutable ECR tags and task definition revisions.”

“Frontend-focused engineer who has delivered an end-to-end React SPA with a .NET 9 backend on Azure, deploying via Azure Container Apps and leveraging zero-downtime deployment slots. Built complex TypeScript UI flows (10-page form with global/partial save and custom validation) using Redux + MUI integrated from Figma, and emphasizes quality with RTL/Vitest plus Selenium automation (~95% coverage) and analytics-driven iteration (Heap, Alida, GTM).”

“End-to-end engineer focused on AI-native enterprise systems, including a production generative knowledge platform using RAG + semantic search over internal documentation (React, Python/Flask, GPU-hosted NLP models, Pinecone) with strong CI/CD and observability. Reports concrete outcomes including 40% faster knowledge access and ~75% employee adoption, and has led incremental cloud-native modernization using feature flags, parallel runs, canary releases, and regression testing.”

“Backend-focused Python engineer who owned high-traffic internal services end-to-end (FastAPI/Django) including REST/GraphQL APIs, PostgreSQL optimization, async task processing via SQS, and full CI/CD. Strong Kubernetes-on-EKS and GitOps (ArgoCD + Helm) experience, plus Kafka real-time streaming work and phased cloud-to-on-prem migration support.”

Frank Albanese

Screened

Executive CTO & Engineering Leader specializing in AI/ML and distributed systems

New York, NY10y exp

“Founder of Essence, a wisdom and memory preservation platform with early testing indicating mental health benefits and positive impact for hospice patients. Has raised $25K to date and reports prior capital-raising experience through Y Combinator and the Berkeley Angel Network, with a GTM plan starting in hospice and expanding to the general public.”

“Senior AI/ML engineer with hands-on experience building production LLM systems in healthcare, including RAG-based clinical question answering and end-to-end MLOps on Vertex AI and Kubernetes. They combine strong platform engineering with applied GenAI work, citing a 35% improvement in factual accuracy and a 30% boost in internal team productivity through modular Python services and CI/CD.”