Pre-screened and vetted.
Principal Full-Stack Engineer specializing in cloud SaaS, logistics, and AI-enabled systems
Senior Full-Stack Software Engineer specializing in AWS, .NET, and data/telemetry platforms
Mid-level Software Engineer specializing in backend APIs and React full-stack development
Entry-Level Full-Stack Software Engineer specializing in AI agents and cloud-native apps
Senior Software Engineer specializing in robotics, computer vision, and scientific instrumentation
Mid-level Full-Stack Developer specializing in modern web apps and cloud DevOps
Mid-level Full-Stack Software Developer specializing in cloud microservices and healthcare interoperability
Senior QA Engineer specializing in game and interactive application testing
Executive CTO/CIO specializing in AI-driven digital transformation and SaaS platforms
Senior Software Engineer & Engineering Lead specializing in Unreal/Unity VR training and multiplayer
Executive Software Architect specializing in Cloud, Security, and SaaS
“Cloud consulting veteran building DragnCloud, an agentic cloud infrastructure builder aimed at teams outgrowing Heroku/Supabase who need complex setups (data pipelines, custom LLM hosting, multi-tier apps) without hiring consultants. Has SaaS background and has served as a Fractional CTO for funded companies; currently focused on landing the first 20 customers and expanding automation into higher-value workflows.”
Senior Full-Stack Software Developer specializing in web, mobile, and cloud platforms
“Frontend engineer who built a live sports games hub end-to-end: ingesting and normalizing data from 4 external APIs, populating a high-volume live table, and delivering a real-time WebSocket-driven React/TypeScript dashboard. Strong on scalable architecture (SOLID, layered design, queues), performance/load testing with Docker, and startup-style ownership across code review, QA, and staged rollouts to web and app stores.”
Senior Full-Stack Software Engineer specializing in React/Angular and FinTech/Telecom web apps
“Frontend engineer with telecom and fintech/banking experience in the Dominican Republic, building React/Angular apps with authentication and real-time data. Notable wins include optimizing an Oracle-backed workflow from ~10s to ~2s via DB indexing plus React memoization, and shipping a SignalR real-time transaction table in one week (award-winning) with strong unit-test-driven QA outcomes.”
Senior Full-Stack Engineer specializing in .NET, JavaScript, and cloud modernization
“Built and continuously ships AI features for a recipe website, including a production workflow that ingests Instagram reels via webhooks, extracts/transcribes content, and converts it into structured recipe data. Also brings enterprise async/backend experience from Dot Foods, where they work with Azure Service Bus, Cosmos DB, and a pre-production Teams bot for logistics stakeholder questions.”
Junior Full-Stack Developer specializing in .NET Core and React
“Full-stack engineer who has shipped end-to-end, customer-facing features in an education/student-population context, including an authorized incident-reporting workflow with RBAC and a PostgreSQL-backed data model. Has 0→1 React+TypeScript/Redux product experience (CTO at Jiffur) and hands-on production operations with CI/CD (Azure Pipelines/GitHub Actions), including resolving a real CPU-saturation outage via operational mitigation and scaling changes.”
Junior Computer Vision Researcher specializing in deep learning and object detection
“Robotics engineer who built and scaled a distributed perception stack on a Unitree Go1 quadruped, coordinating 5 Jetson Nanos and a Raspberry Pi to capture, aggregate, and stream multi-camera video in real time via UDP/GStreamer and custom ROS nodes. Also implemented a YOLOv9-based detection pipeline enhanced with Grad-CAM-driven selective image enhancement (e.g., MIRNet/UFormer) to improve real-time detections and robot reactions to visual stimuli.”
Mid-level Full-Stack Software Developer specializing in enterprise SaaS and mobile apps
“Product-minded full-stack engineer with experience building highly configurable multi-tenant dashboard/form platforms at Voxvita and workflow automation tools at Triad Unlimited. Stands out for turning brittle one-off implementations into reusable services and primitives, including dynamic data-fetching layers, configurable UI systems, and a PHP-based invoicing engine that became the company standard.”
Mid-Level Full-Stack Software Developer specializing in React, TypeScript, and Azure
“Frontend-focused engineer who has delivered an end-to-end React SPA with a .NET 9 backend on Azure, deploying via Azure Container Apps and leveraging zero-downtime deployment slots. Built complex TypeScript UI flows (10-page form with global/partial save and custom validation) using Redux + MUI integrated from Figma, and emphasizes quality with RTL/Vitest plus Selenium automation (~95% coverage) and analytics-driven iteration (Heap, Alida, GTM).”
Mid-level Full-Stack Software Engineer specializing in React, Node.js, and AWS
“Frontend engineer who led end-to-end architecture and implementation at Hostclass (startup) using Next.js/TypeScript/Twilio, including a distinctive live-session page with a 3-way screen-sharing capability. Experienced improving messy production codebases by consolidating duplicated workflow logic into reusable hooks and shipping high-risk real-time features with targeted QA and incremental rollouts under tight startup constraints.”
Mid-level .NET Full-Stack Developer specializing in finance and healthcare web apps
“Full-stack engineer with end-to-end ownership of a data-heavy financial dashboard module at Brown & Brown Insurance, spanning .NET Core APIs, EF/SQL Server, and React/TypeScript UI. Demonstrates strong focus on performance tuning (indexing, pagination, caching, async) and secure service design (Azure Key Vault, JWT/RBAC) in a microservices context.”
Senior Machine Learning Engineer specializing in LLMs, computer vision, and cloud AI
“Healthcare-focused ML/AI engineer who has built clinical note summarization and medical image annotation solutions using LLMs, RAG, and multimodal models. They combine experimentation across major model providers with practical production concerns like monitoring, drift detection, and latency/cost tradeoffs, and also earned 2nd place in a Google hackathon for a medical AI assistant.”