.png){kind=logo}
Vetted SQL Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in data engineering, BI analytics, and AI/ML
Mid-level Software Engineer specializing in backend systems, microservices, and AI search
Junior AI/ML Engineer specializing in LLM agents and full-stack AI systems
Senior Full-Stack Engineer specializing in AI-powered enterprise applications
Senior Project Manager specializing in software implementations and operations
Senior Full-Stack Engineer specializing in cloud-native web and mobile platforms
Senior Software Engineer specializing in backend systems and FinTech APIs
Director-level digital product leader specializing in web content, AI, and fundraising platforms
Senior Full-Stack Engineer specializing in data-driven SaaS and web platforms
Principal operator and finance leader specializing in structured finance and operating assets
Principal Software Engineer specializing in platform engineering and distributed systems
Mid-level Software Engineer specializing in cloud-native AI/ML and full-stack systems
Mid-level product professional specializing in SaaS, healthcare, and supply chain analytics
Executive engineering leader specializing in SaaS platform transformation and AI
Senior AI Infrastructure Engineer specializing in LLM systems and real-time ML platforms
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).”
Surya Singh
Mid-level AI/ML Engineer specializing in FinTech and fraud detection
“ML/backend engineer with PayPal experience building high-stakes production systems, including a GenAI internal support assistant and a real-time fraud scoring pipeline. Strong in Python/FastAPI, model-serving infrastructure, RAG architecture, and production observability, with clear readiness to transition those backend patterns into a TypeScript stack.”
Aman Garg
Mid-Level Full-Stack Software Engineer specializing in Python and React/TypeScript
“Built and shipped a map-embedding SDK (published to npm) for Walmart apps, solving key performance issues with real-time streaming (WebSockets) and Canvas rendering while prioritizing developer experience. Also applies LLM/agentic patterns in production workflows—using diagnostic agents and human-in-the-loop escalation to detect and resolve issues (e.g., voice agent loops caused by RAG API failures). Has sales-engineering experience supporting enterprise renewals, including a million-dollar contract renewal while at Siemens working with Ford stakeholders.”