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Vetted System Design Professionals
Pre-screened and vetted.
Senior Full-Stack AI Engineer specializing in LLM and ML-powered SaaS
Junior Software Engineer specializing in full-stack cloud systems and robotics
Mid-level Full-Stack Engineer specializing in Java/Spring Boot microservices and React
Director-level XR Engineer specializing in AI-powered AR/VR training systems
Senior Software Engineer specializing in backend ML and Generative AI platforms
Junior Full-Stack Software Engineer specializing in cloud, distributed systems, and AI
Senior Full-Stack Engineer specializing in Python, React, and cloud-native web platforms
Entry-level Full-Stack Engineer specializing in web systems and AI applications
Senior Full-Stack Engineer specializing in scalable SaaS and cloud-native web platforms
Senior Full-Stack Engineer specializing in Python, cloud, and scalable web platforms
Senior Unity Developer specializing in gameplay, multiplayer systems, and live-ops
Senior Unreal Engine VR Multiplayer Engineer specializing in mobile performance
Senior Software Engineer specializing in cloud-native microservices
Kirtiranjan Maharana
Mid Frontend Engineer specializing in AI-driven web platforms
“Frontend/product-focused engineer who helped build Cheiron.bio from no product to production, owning major parts of an AI-powered search and document intelligence experience for bio-pharma researchers. Stands out for combining React/Next.js/TypeScript architecture depth with strong product thinking around AI workflows, citations, streaming interactions, and responsive UX in complex, data-heavy interfaces.”
Samuel Braude
Junior Computer Science student specializing in robotics, ML, and quantum computing research
“Hands-on engineer who has taken an LSTM Bitcoin forecasting model from notebook to a production-grade, monitored API (Docker/Gunicorn/Nginx, Prometheus/Grafana, blue-green rollback) delivering 99.9% availability and ~110–120ms p95 latency. Also built an RFID self-checkout prototype spanning Raspberry Pi + firmware + networking, using deep instrumentation to eliminate double-charges/timeouts (<0.1%) and reduce checkout time ~20% through idempotency, debounce logic, and hardware fixes.”