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Vetted SQL Professionals
Pre-screened and vetted.
Senior Front-End Engineer specializing in React and marketing automation
Mid-level QA Engineer specializing in test automation and FinTech trading systems
Mid-level Full-Stack Software Engineer specializing in AWS microservices and web platforms
Mid-level Full-Stack Developer specializing in React, Node.js, and Spring Boot
Executive Technology Leader specializing in Cloud, AI/IoT, and Cybersecurity
Mid-Level Software Engineer specializing in full-stack web and FinTech systems
Junior AI/ML Engineer specializing in agentic AI and cloud optimization
Mid-Level Python Developer specializing in Django, data pipelines, and automation
Director of Strategy & Operations specializing in startups and credit investing
Executive Technology Leader specializing in AI/GenAI platforms and digital transformation
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Executive Chief Data & Analytics Officer specializing in data modernization and AI governance
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Mid-level Full-Stack Developer specializing in AWS modernization and Java/Angular
Entry-Level Software Engineer specializing in backend systems and cloud messaging
Executive Engineering Leader specializing in AI-native healthcare platforms
Senior Software Engineer specializing in DevSecOps and Azure cloud infrastructure
Mid-level Cloud/DevOps Engineer specializing in AWS platform automation and CI/CD
Peeyush Dyavarashetty
Intern AI/ML Engineer specializing in GenAI, LLMs, and agentic RAG systems
“AI/LLM practitioner who built a GPT-2-like language model from scratch at the University of Maryland using PyTorch and multi-GPU distributed training, with experiment tracking in Weights & Biases. As an AI Operations intern at ScaleUp360, delivered multiple production-style AI agent automations (Gmail classification and Fireflies-to-Claude workflows that extract and assign CEO tasks) and set up measurable evaluation using test cases and classification metrics.”
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”