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Vetted Ruby Professionals
Pre-screened and vetted.
Senior Front-End Engineer specializing in React Native and design systems
Junior Software Engineer specializing in AWS serverless and full-stack web development
Mid-level Full-Stack Engineer specializing in AI and Healthcare IT
Senior Full-Stack Software Engineer specializing in e-commerce and MarTech integrations
Senior Full-Stack Developer specializing in cloud-native SaaS and AI integrations
Senior Software QA Engineer specializing in manual and automation testing
Senior Full-Stack Engineer specializing in AI, cloud, and Web3 platforms
Mid-level Full-Stack Engineer specializing in cloud-based web applications
Engineering Manager and Full-Stack Engineer specializing in SaaS platforms
Senior QA/SDET specializing in test automation, CI/CD, and performance testing
Senior Software Developer specializing in Unity AR/VR and simulation training apps
Director-level Applied ML Engineer specializing in GenAI, LLM systems, and MLOps
Mid-level Software QA Engineer specializing in web and mobile testing
Mid-level Full-Stack Software Engineer specializing in real-time web apps and cloud backends
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Mid-level Site Reliability & Support Engineer specializing in Ruby on Rails platforms
Gowtham Alasakani
Junior Full-Stack Software Engineer specializing in AI and data pipelines
“Built and shipped a production AI assistant for a web-based loan/interest calculator that helped users understand EMI results and optimize inputs. Demonstrated full-stack ownership across responsive UI, Node.js APIs, and LLM integration, with a strong focus on prompt refinement, guardrails, caching, fallbacks, and post-launch iteration driven by logs and user behavior.”
Vinith Nagelly
Mid-level Full-Stack Developer specializing in Python/Django and React
“Backend engineer at Hexanika who owned a real-time fraud-detection platform: built Django microservices, integrated a GenAI anomaly-scoring model, and optimized data/infra for low-latency production (including ~40% query-latency reduction). Experienced running containerized services on AWS/GCP with Kubernetes/GKE, GitHub Actions-based CI/CD + GitOps, and building Pub/Sub streaming pipelines and on-prem-to-cloud migrations.”
Pavithran Gnanasekaran
Entry-level Software Engineer specializing in AI/ML and full-stack systems
“Internship-built full-stack systems spanning HR employee-record portals and internal data-quality dashboards (Flask + SQL + React), emphasizing data integrity and rapid MVP iteration. Also implemented Flask microservices with RabbitMQ for distributed task processing, addressing duplication/ordering issues with idempotency, durable queues, and correlation-ID logging; delivered quantified productivity gains for HR teams.”
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI