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Vetted Software Engineers in the Greater Seattle
Pre-screened and vetted in the Greater Seattle.
Mid-Level Software Engineer specializing in full-stack and cloud microservices
Mid-Level Software Engineer specializing in full-stack development and LLM/GenAI systems
Mid-level Backend Software Engineer specializing in AWS microservices and REST APIs
Senior Customer Success Engineer specializing in cloud-native architecture and data streaming
Mid-level Software Engineer specializing in full-stack and cloud-native systems
Mid-level Software Engineer specializing in full-stack cloud and embedded systems
Mid-Level Software Engineer specializing in cloud data platforms and full-stack web development
Mid-level Software Engineer specializing in backend systems, cloud microservices, and AI-driven automation
Mid-Level Software Engineer specializing in cloud backend and GenAI assistants
Mid-level Backend Software Engineer specializing in FinTech and cloud microservices
Junior Software Engineer specializing in backend, cloud, and AI-enabled enterprise systems
Varaprasad Bathula
Intern AI/ML Engineer specializing in LLM applications and data infrastructure
“Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.”
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Mid-level Software Engineer specializing in distributed systems and applied ML
Entry-level Software Engineer specializing in backend and developer platforms
Mid-level Software Engineer specializing in cloud, systems, and full-stack development
Rahul Anand Nayanegali
Mid-level Software Engineer specializing in full-stack and backend platforms
“Frontend engineer with experience spanning Amazon Seller Central, Shoptaki, and TCS, focused on turning complex, dynamic workflows into scalable browser-based systems. Particularly strong in schema-driven and metadata-driven UI architecture, including AI-powered analytics interfaces and compliance platforms where adaptability, consistency, and trust are critical.”
Anirban Ghosh
Mid-level Machine Learning Engineer specializing in data science and cloud systems
“ML engineer who independently pitched and built a recommendation engine at Danske Bank in a legacy fintech environment, creating compliant data pipelines and deployment infrastructure from scratch and delivering a 62% engagement lift with 70%+ advisor adoption. Also worked at AWS on classification and GenAI-powered reporting systems, with strengths spanning production ML, platform setup, monitoring, and research-to-production optimization.”