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Vetted Alerting Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in cloud-native platforms and payments
Mid-level Backend Software Engineer specializing in distributed systems and payments
Senior AI/ML Software Engineer specializing in healthcare NLP and search
Mid-level ML Systems Engineer specializing in AI security and RAG systems
Senior Azure DevOps Engineer specializing in cloud infrastructure and CI/CD
Senior Full-Stack Developer specializing in Python microservices and cloud platforms
Mid-level Full-Stack Developer specializing in cloud-native web applications
Junior Software Engineer specializing in distributed systems and AI
Mid-level Full-Stack Developer specializing in FinTech microservices and cloud data pipelines
Senior Cloud Engineer specializing in AWS & Azure infrastructure, security, and automation
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Senior Site Reliability/DevOps Engineer specializing in AWS/Azure Kubernetes and CI/CD
Senior Full-Stack Software Engineer specializing in cloud-native Java microservices
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Mid-level Full-Stack Java Developer specializing in enterprise and FinTech systems
Prayasha Chaudhary
Senior Engineering Leader specializing in cloud architecture and AI-powered data platforms
“Hands-on startup operator with experience across three startups, including companies built from inception and a PEAK6-backed environment. Particularly compelling for early-stage roles: they have rebuilt technical foundations, scaled platforms during growth, and pair strong product ownership with a practical, user-validation-first approach to building scalable systems.”
Bill Cheng
Director-level Engineering Leader specializing in SaaS platforms and AI systems
“Entrepreneurial candidate building an LLC focused on applying AI to improve call center customer service, with an early go-to-market focus on local government call centers. They are already in discussions with a government prospect and have a clear thesis around solving high turnover and low knowledge retention through AI-assisted training and support systems.”
Mohana Satyanarayana Moganti
Mid-Level Software Engineer specializing in Cloud Infrastructure and Full-Stack Platforms
“Built and shipped a production LLM-powered grading platform that automates rubric-aligned scoring and feedback, with strong guardrails (RAG grounding, structured JSON, validation/retries) and operational rigor (metrics, drift monitoring). Experienced using CrewAI to orchestrate multi-agent workflows end-to-end and validating quality via gold-set benchmarking against human graders with regression testing on every prompt/model change.”