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Vetted Shell Scripting Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in web platforms, automation, and data-driven products
Staff-level Software Engineer specializing in AI content pipelines and FinTech platforms
Senior Full-Stack Engineer specializing in LLM apps and RAG-based knowledge retrieval
Mid-level Full-Stack Engineer specializing in cloud-native microservices and GenAI
Senior Full-Stack Engineer specializing in AI, cloud, and Web3 platforms
Senior Unix/Linux Systems Administrator specializing in Linux, AIX/Solaris, and HA clusters
Mid-Level Full-Stack Software Engineer specializing in cloud platforms and security
Mid-Level Software Engineer & Consultant specializing in enterprise platforms
Senior QA Engineer specializing in test automation and end-to-end software testing
Junior Full-Stack Software Engineer specializing in cloud-native healthcare applications
Mid-level Full-Stack & AI Engineer specializing in FinTech and ML-powered applications
Senior Software Engineer specializing in Python backend, microservices, and cloud/DevOps
Mid-Level Software Engineer specializing in backend, cloud, and data pipelines
Junior Full-Stack Software Engineer specializing in cloud-native web apps and APIs
Mid-Level Software Engineer specializing in ML and Generative AI applications
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Software QA Engineer specializing in test automation and CI/CD
Mid-Level Software Engineer specializing in AI/ML, cloud deployment, and full-stack systems
Tony Barreto
Mid-Level Full-Stack Software Developer specializing in modern web apps
“Product-focused full-stack builder who has shipped and operated multiple production apps from scratch, including an e-commerce bakery delivery scheduler (with concurrency controls and timezone handling) and a real-time passenger music-request system for Lyft rides that hit and resolved YouTube API rate-limit scaling issues via debouncing and caching. Strong in React+TypeScript and Node.js/TypeScript backends, with solid PostgreSQL/PostGIS data modeling and performance tuning.”
Rukmini Pisipati
Junior AI/ML Engineer specializing in LLM automation and NLP
“Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.”