.png){kind=logo}
Vetted Terraform Professionals
Pre-screened and vetted.
Alok Chaudhary
Mid-level Cloud/DevOps Engineer specializing in AWS infrastructure and security compliance
“Cloud infrastructure and security-focused candidate with hands-on AWS experience (Terraform for EC2/VPC, AMI copies across regions) and CI/CD exposure (Jenkins/Git/Docker, AWS CodePipeline). Has practical production troubleshooting experience around performance/monitoring and produces RCAs, but does not have direct IBM Power/AIX/PowerHA migration experience.”
Mid-level AI Software Engineer specializing in LLM agents and RAG systems
Maulik Maganbhai Ghatala
Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs
“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”
Minh Huynh
Junior AI/ML Engineer specializing in LLM systems and personalization
“Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.”
Sudarshan Naicker
Entry-Level Software Engineering Student specializing in Full-Stack Web Development and ML
“Frontend-focused builder with multiple end-to-end academic product builds (event manager, niche social media app, airline booking site, AI-based obituary generator). Experienced in React/Next.js with an emphasis on scalable component architecture, pragmatic state management/performance, and strong collaboration with design via Figma; has shipped complex user flows like real-time chat, booking/seat selection, auth, and media upload under tight timelines.”
Mike Fernandez
Mid-Level Software Engineer specializing in cloud data platforms and CI/CD
“AI/LLM engineer who has owned end-to-end production delivery of multi-agent RAG systems on Azure (React + FastAPI + data pipelines + Terraform), including rigorous evaluation/monitoring and reliability guardrails. Shipped an AI-driven observability root-cause analysis assistant that reduced MTTR ~30%, cut alert noise ~20%, and reached ~70% adoption in the first month; also built a clinical document Q&A system with citations and compliance-oriented controls.”