.png){kind=logo}
Vetted SaaS Professionals
Pre-screened and vetted.
Executive SaaS CEO and operator specializing in AI-first growth and Rule of 40 performance
Executive GTM & Operations Leader specializing in SaaS growth and turnarounds
Executive Product & Digital Transformation Leader specializing in AI, Data Platforms, and Enterprise SaaS
Executive Enterprise Architect & CTO specializing in cloud, data/AI, and transaction platforms
VP of Engineering specializing in platform, microservices, and consumer marketplaces
Principal Product Strategy Leader specializing in GenAI agents for eCommerce and fulfillment
Director-level Engineering Leader specializing in platform, data, and cloud systems
Executive Technology & Product Leader specializing in Video Games, Web3, and AI/ML
Senior Full-Stack Software Engineer specializing in SaaS and healthcare platforms
Principal Customer Success Leader specializing in Enterprise SaaS and Cloud Transformation
Engineering Manager specializing in cloud-native platforms across AdTech and FinTech
Executive Engineering Leader specializing in regulated healthcare SaaS and aerospace systems
Senior UX/Product Design Lead specializing in insurance and healthcare platforms
Engineering Manager specializing in backend platforms, risk systems, and FinTech
Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation
Executive operating partner and CEO specializing in private equity value creation
Senior DevOps & Solutions Engineer specializing in CI/CD and GitHub Enterprise
Director of Engineering specializing in cloud, microservices, and data-intensive platforms
Executive IT & Software Development Leader specializing in cloud-native transformation and trading platforms
Executive IT leader specializing in digital transformation and enterprise systems
Varshith Dupati
Mid-level Software Engineer specializing in AWS, full-stack development, and AI data systems
“Backend engineer who built a Python-based data profiling/statistics platform processing up to 50M rows and ~300 metrics, using a DAG execution model, multithreading, and smart caching to cut processing time by up to 70%. Also improved PostgreSQL query performance from 12s to 2s via indexing/query rewrites, integrated an LLM (LangChain + OpenAI) for explainable “chat with the pipeline” functionality, and designed an AWS EC2+SQS architecture for scalable, isolated per-user processing.”