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Vetted Go Professionals
Pre-screened and vetted.
Mid-level Database Developer specializing in SQL, ETL, and cloud data platforms
Entry-Level Software Engineer specializing in healthcare data and AI-enabled tools
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
Mid-Level Full-Stack Software Engineer specializing in AI automation and RAG agents
Mid-level Back-End Engineer specializing in scalable APIs and multi-tenant systems
Intern Full-Stack Developer specializing in React, Node.js, and TypeScript
Junior Full-Stack Software Engineer specializing in logistics and IoT systems
Junior Full-Stack Developer specializing in Django/React and cloud-native APIs
Senior Full-Stack Developer specializing in AI-driven SaaS and real-time analytics
“Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.”
Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps
Kealan Doherty
Junior Software Engineer specializing in full-stack web and AI applications
“Early-career backend developer building an Arc Raiders game-data API end-to-end in Go on AWS with PostgreSQL, making their first real deployment and learning system design hands-on. Also built an AI resume and cover letter generator using Gemini and has experience debugging open-source code and managing PRs in a capstone team project.”
Deep Patel
Intern Application Security Engineer specializing in cloud and container security
“Application security engineer/advisor with hands-on experience securing AWS-based, containerized services and embedding SAST/DAST/SCA and container scanning into GitHub/GitLab CI/CD. Drove measurable outcomes (50% faster vuln triage, 40% fewer misconfigs) and has deep operational troubleshooting experience in Kubernetes (agent failures due to CPU throttling/network policies), plus pragmatic strategies to reduce developer friction and handle API rate limits.”
MUHAMMAD KHUSHAL KHAN
Mid-level Quantitative Developer specializing in low-latency trading systems
“Backend/ML engineer with deep fintech and marketplace experience: built a real-time financial analytics + algorithmic trading platform (Python/Postgres/Kafka/Redis) and drove major DB performance wins (10x faster analytics; sub-10ms response consistency). Also shipped an end-to-end ML recruitment matching platform (scraping/ETL/modeling/Django deployment) with reported 92% matching accuracy, and emphasizes production reliability via monitoring, blue-green deploys, and robust workflow error handling.”
Entry-Level Full-Stack AI Engineer specializing in RAG pipelines and enterprise SaaS
Mid-level DevOps Engineer specializing in cloud infrastructure and CI/CD automation
Mid-Level Frontend Developer specializing in React, Vue, and high-performance web apps
Junior Backend & ML Engineer specializing in Golang microservices and LLM/RAG systems
Mid-level Full-Stack Engineer specializing in web, AI, and blockchain applications
Junior QA Engineer specializing in manual and automation testing for banking apps
Mid-level Backend Engineer specializing in Python APIs, microservices, and PostgreSQL
Mid-level AI/ML Engineer specializing in LLMs and RAG systems