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Vetted Software Engineering Professionals
Pre-screened and vetted.
Junior Full-Stack AI Systems Engineer specializing in agentic AI and RAG pipelines
Senior Game Developer / Software Engineer specializing in 2D/3D, VR, and web apps
Mid-level Machine Learning Engineer specializing in GenAI and RAG systems
Mid-level Robotics & Distributed Systems Software Engineer
Junior Solutions Engineer specializing in cloud architecture, APIs, and enterprise platforms
Intern software engineer specializing in AI, product, and full-stack systems
Director-level engineering leader specializing in game development and scalable platforms
Junior Software Engineer specializing in backend systems and AI products
Intern Data/Software Engineer specializing in APIs, LLM pipelines, and full-stack web apps
Junior Full-Stack Developer specializing in web systems and performance-focused backend work
Intern Game Systems Designer specializing in combat systems and real-time graphics
Entry-Level Full-Stack Developer specializing in React and .NET on Azure
Executive product leader specializing in FinTech, payments, and enterprise SaaS
Director of Information Security and Security Engineer specializing in cloud compliance
Anju Vilashni Nandhakumar
Entry-level Machine Learning Engineer specializing in RAG and NLP systems
“Built a 24/7 Python/LangChain email agent in production with validation, circuit breakers, human-review escalation, and structured observability. Also applied data and automation skills at Community Dreams Foundation, including turning a vague donor-insights request into a usable donor-risk prediction workflow and raising ETL reliability from roughly 85% to 99% by diagnosing SQLite concurrency issues.”
Luciano Barrios
Principal Hardware & Systems Architect specializing in edge AI and biometrics
“Career startup operator now building a self-funded venture in home, professional, and industrial automation plus physical access control. Brings hands-on early-stage hardware/platform development experience along with investor-facing fundraising support, including technical presentations and introducing new ventures to existing funding relationships.”
Vikas Katuru
Junior Full-Stack AI Engineer specializing in GenAI and secure data systems
“Backend-leaning full-stack engineer who has built AI-powered analytics products from 0→1, including a predictive analytics dashboard and an AI orchestrator for natural-language-to-database querying. Particularly strong in making LLM systems production-safe through schema validation, self-healing retries, monitoring, and retrieval optimization, with quantified impact on cost, latency, and quality.”
Toby Jones
Senior Unity Engineer specializing in VR/AR and game systems
“Unity generalist and lead engineer with shipped Meta Quest VR experience, including leading the refactor of BoxVR into FitXR (subscription multi-studio fitness app) and running the core tech team. Also built and shipped a mobile wingsuit game (Wingsuit Pro) with one artist that reached #1 in Sports in 8 regions, demonstrating strong gameplay iteration and performance optimization expertise.”
Director of Software Engineering specializing in AI-enabled platforms and cloud modernization
Ben Smyth
Executive Cryptography & Cybersecurity Leader specializing in end-to-end encryption and verification
“Exited Founder-CEO with deep-tech experience who raised capital and built a venture around making end-to-end encryption with cloud-level performance and data sovereignty feasible. Demonstrated first-principles technical rigor (network/TCP analysis) to prove scientific feasibility, then progressed from proof of concept to prototype and eventual exit, with a strong bias toward ultra-lean, customer-paid MVPs.”
Arju Singh
Mid-level Machine Learning Engineer specializing in LLM apps, RAG pipelines, and MLOps
“Software engineer with connected-car/automotive production experience who owned an end-to-end remote door lock/unlock feature and introduced unit testing (GTest) plus rig/simulator validation. Also built and productionized an AI-native AWS cloud cost assistant (Lex + GPT-based LLM + Lambda + RAG/vector DB) with guardrails and achieved 94% evaluation accuracy. Helped replace a third-party solution with an in-house build, saving the company ~€9M.”