.png){kind=logo}
Vetted Google Cloud Platform Professionals
Pre-screened and vetted.
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Richard Jackson
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
“Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.”
Senior Software Engineer specializing in Java backend and OLAP systems for Ads platforms
Senior Full-Stack Software Engineer specializing in cloud-native web platforms and FinTech
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Senior Software Engineer specializing in AI infrastructure and distributed systems
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Backend Software Engineer specializing in cloud platforms and event-driven systems
Senior Full-Stack Software Engineer specializing in Mobile and AR/VR platforms
Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines
Andrew Coven
Executive Software Engineering Leader specializing in AI/ML products and large-scale platforms
“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%+.”
Sudheer Bommichetty
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
“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).”
Muhammad Shoaib
Senior Site Reliability & DevOps Engineer specializing in multi-cloud Kubernetes platforms
“IBM Power/AIX infrastructure engineer who has owned large-scale Power9/AIX 7.x estates across primary/DR (VIOS/HMC/vHMC) and has deep hands-on experience with DLPAR, shared processor pool governance, and PowerHA recovery. Also brings modern DevOps/IaC capability—built Azure DevOps/GitHub CI/CD for Terraform + Kubernetes/Helm with strong security controls and resolved a production Terraform state-lock failure by redesigning backend locking and pipeline concurrency.”
Senior Software Engineer specializing in cloud-native microservices and real-time systems
Senior Backend/Full-Stack Software Engineer specializing in cloud microservices and APIs
Senior Software Engineer specializing in Python backend and applied AI platforms
Staff-level Software Engineer specializing in distributed systems and cloud platforms
Executive Blockchain Analytics Founder/CEO specializing in institutional-grade data platforms
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Senior Applied Machine Learning Engineer specializing in FinTech & E-commerce
Senior Software Engineer specializing in Python AI/ML integration and experimentation pipelines