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Vetted Test-Driven Development Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in GenAI and cloud-native systems
Mid-level Full-Stack Developer specializing in React/Next.js and Azure
Junior Full-Stack Software Engineer specializing in cloud-native web apps and APIs
Mid-level Full-Stack Software Engineer specializing in logistics microservices
Mid-level Full-Stack Developer specializing in cloud-native web apps and microservices
Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare
Junior Full-Stack Software Engineer specializing in backend, cloud, and AI systems
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Mid-level Front-end Engineer specializing in SaaS, AI, and Healthcare IT
Senior Full-Stack Engineer specializing in Python back-end systems and scalable web apps
Mid-level UX Engineer specializing in design systems and frontend architecture
Senior Frontend Developer specializing in React, performance optimization, and data-heavy UIs
Tirth Shah
Mid-level AI/ML Engineer specializing in anomaly detection, data tooling, and cloud-native systems
“Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.”
Krystal Galdamez
Junior Full-Stack Engineer specializing in AI-powered web applications
“Startup-focused engineer who has shipped Python backend features, AI integrations, and Playwright automation for products including an AI coaching platform and hiring workflow tools. Stands out for working through ambiguous zero-spec environments, hardening flaky Firebase-authenticated test flows, and designing practical fallback paths when AI outputs are unreliable.”
Shravani Surendra Chandratre
Entry-Level Software Engineer specializing in AI, systems programming, and full-stack development
“Systems-focused C++ engineer who built a 32-bit CPU simulator end-to-end (custom ISA, full memory model, fetch-decode-execute loop) and solved tricky recursion/stack-frame correctness issues through heavy instrumentation and tracing. Has strong Linux and user-kernel boundary experience (procfs) plus modern build/test tooling (Docker, CI/CD, pytest), and is confident ramping quickly into ROS/ROS2 despite not having used it directly.”