.png){kind=logo}
Vetted Software Engineers in the Greater Seattle
Pre-screened and vetted in the Greater Seattle.
Mid-Level Full-Stack/Distributed Systems Engineer specializing in cloud microservices
Senior Software Engineer specializing in backend, data pipelines, and AWS cloud-native microservices
Mid-Level Software Engineer specializing in backend platforms and healthcare AI
Mid-Level Software Engineer specializing in backend, cloud, and GenAI assistants
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and payments
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 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
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
Hrishikesh Gawde
Mid-level Software Engineer specializing in AI and FinTech platforms
“LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.”
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.”