Vetted Visual Studio Code Professionals

“Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.”

“Engineering leader who drove Lightroom Mobile’s roadmap at Adobe by enforcing reuse of Photoshop imaging tech to deliver RAW, non-destructive mobile editing with full Creative Cloud compatibility. In startup environments, has repeatedly scaled and professionalized engineering orgs (career ladders, evaluation systems, delivery process) and led high-stakes cloud/platform transformations—migrating off Heroku and consolidating fragmented AWS/GCP usage into a single GCP platform—improving reliability, deploy speed, and cutting cloud costs by 20%+.”

“Strategy and operations leader with experience spanning Anheuser-Busch and McMaster-Carr, combining large-scale cost ownership, frontline operations leadership, and sourcing strategy. Particularly compelling for operationally intensive roles: they’ve managed a 150-person service organization, owned a ~$750M cost base, built strategy in ambiguous environments, and independently drove an LLM automation pilot that reached 97% accuracy and saved 3 FTEs.”

“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”

“ML engineer with 5 years at Stripe building and productionizing real-time fraud detection at massive scale (3M+ transactions/day; $5B+ annual payment volume). Delivered measurable impact (22% accuracy lift, 18% loss reduction, +3–5% authorization rates) and has strong MLOps/orchestration experience (Docker, Kubernetes, Airflow, MLflow, CI/CD, monitoring/rollback) plus a structured approach to LLM agent/RAG evaluation.”

“Operator-turned-aspiring founder with experience building CI, cloud, and AI businesses at Harness, including P&L ownership and 0-to-1 execution. Exploring an AI-native infrastructure/control-plane thesis focused on moving enterprise workflows from AI assistance to execution, with a strong emphasis on ROI, coordination gaps, and durable moats.”

“Software engineer with a rare mix of early startup product-building and large-scale enterprise data platform work. At a 40-person digital signage startup, they wrote much of the customer-facing software, and later at Qualtrics built Go and Python ETLs, internal configuration tools, and B2B data products supporting survey analytics and custom data science workflows.”

“Unity/C# gameplay engineer with rare depth at the intersection of MR, multiplayer, and generative AI, including work on Meta Quest experiences such as First Encounters. They have architected real-time AI content pipelines, integrated LLM/VLM systems into Unity via Python/REST orchestration, and solved hard production problems around Quest performance, networking, and player experience.”