Vetted Terraform Professionals

“ML/AI engineer with hands-on ownership of production recommendation and GenAI systems, spanning experimentation, deployment, monitoring, and iteration. Stands out for delivering measurable outcomes—22% CTR lift, 15% conversion lift, and a 30% reduction in support tickets—while demonstrating strong judgment on latency, cost, and safety tradeoffs in real-world systems.”

Preetham Dandu

Screened ReferencesModerate rec.

Junior Software Engineer specializing in backend, distributed systems, and cloud platforms

Stony Brook, NY1y exp

“MS candidate with strong backend/data engineering focus who builds research and data systems with production-grade rigor (reproducibility, observability, restartability). Has hands-on experience securing and scaling FastAPI-based gateways in front of Java microservices, leading SQL Server→Snowflake migrations with dual-write/feature-flag rollouts, and hardening Kafka-based fleet-tracking systems against out-of-order and duplicate events.”

Phanindra Satya Tharun Gunturi

Screened

Mid-level DevOps/SRE Engineer specializing in cloud CI/CD, IaC, and Kubernetes

Nashville, TN5y exp

“Infrastructure engineer with deep production IBM Power/AIX experience (AIX 7.2/7.3, HMC, dual VIOS, PowerHA) supporting ~25–30 LPARs and handling live DLPAR tuning, HA failovers, and Power7→Power9 migrations. Also builds modern cloud delivery platforms—Azure DevOps CI/CD deploying Dockerized microservices to Kubernetes with Terraform-managed AWS infrastructure, strong controls around secrets, drift, and safe rollouts.”

“Software engineer with hands-on experience shipping production AI agents and end-to-end ecommerce workflows. They built a customer support automation agent with strong guardrails and evaluation practices, then improved it post-launch using real user data to cut latency ~30% and token cost ~25%. Also drove a zero-to-one self-serve order modification product across React UI, backend services, and cross-functional alignment.”

“Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.”

“AI/LLM engineer with healthcare domain experience who built a production clinical support “chart bot” for Molina, including PHI-safe ingestion of 200k+ PDF policies, vector retrieval, and a fine-tuned LLaMA served via vLLM on ECS Fargate. Demonstrated measurable performance wins (HNSW + namespace partitioning; 30% inference latency reduction) and a rigorous evaluation/monitoring approach, while partnering closely with nurses and operations teams to shape workflows and guardrails.”

“Built a production AI-powered sales automation system that reads inbound product enquiry emails, extracts structured data, and routes decisions via a rules-based workflow integrated with a product database. Leverages Gemini structured outputs/schema plus option-based prompting and validation to keep responses reliable, and optimizes latency by breaking agent reasoning into smaller LLM calls; evaluates workflows with LangSmith and metrics like completion rate and accuracy.”

“LLM/agent production specialist with strong customer-facing and pre-sales chops: turns demo-grade prototypes into reliable, compliant deployments using RAG tuning, guardrails, evals in CI, and observability with staged rollouts/rollback. Known for engineering-first workshops (including live break-and-fix on retrieval misses, tool timeouts, and prompt injection) that win over skeptical senior developers and drive adoption.”

“Infrastructure security/DevSecOps engineer who led security and automation patterns during a large Azure migration (30+ legacy apps, wave-based execution), enforcing zero-trust controls by baking CrowdStrike/Illumio into golden images and adding CI/CD security gates. Experienced integrating GitLab runners and Terraform agents as containerized services with strong secrets management (Azure Key Vault) and disciplined image/versioning practices, and has hands-on troubleshooting of ACI runtime constraints under load.”