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Vetted Google Cloud Platform Professionals
Pre-screened and vetted.
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior Software Engineer specializing in cloud-native distributed systems
Engineering leader specializing in data platforms and distributed systems
Staff Data Scientist / AI-ML Engineer specializing in fraud detection, NLP, and recommendations
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud platforms, AI/ML, and blockchain
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms
Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms
Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services
Senior DevSecOps & Cloud Security Engineer specializing in Kubernetes and CI/CD security
Staff Software Engineer specializing in FinTech and scalable distributed systems
Senior Full-Stack Software Engineer specializing in large-scale streaming platforms
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems
Senior DevOps/SRE Engineer specializing in cloud infrastructure and CI/CD automation
Director-level Software Development Manager specializing in large-scale cloud platforms
Manaswini Gogineni
Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development
“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”
Yuan-Hsuan Wen
Intern Software Engineer specializing in AI agents, RAG pipelines, and semiconductor systems
“Built a web-based interface that connects an internal bug system to an LLM for initial debugging and issue classification, aiming to boost QA and software engineer efficiency while balancing latency and accuracy. Worked as a one-person project and managed constraints like limited hardware and difficulty extracting team debugging context, relying on manager communication and rapid modeling to validate direction.”