Vetted Artificial Intelligence Professionals

“Student full-stack builder shipping real products: a mobile app (Sirat) where they delivered end-to-end theme settings with testing and fast post-launch fixes, and a sports web app (Scorva) that generates AI game summaries from game stats with Postgres-backed caching to control LLM costs. Available for full-time work starting June 2026 and targeting $95k–$110k.”

Katsiaryna Hanus

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Mid-Level Unity Developer specializing in VR/AR/XR and mobile multiplayer

Poznań, Poland6y exp

“Unity VR developer who has shipped multiple Meta Quest games and navigated strict Meta QA/product requirements, with a strong focus on profiling-driven FPS optimization. Co-developed the Meta-delivered title "Shark Bait VR" (2-person dev team), tackling VR comfort (anti-nausea swimming), realistic rope behavior, and fish AI, and has also implemented cross-platform mobile push notifications via Firebase/APNS with Jenkins+CocoaPods.”

“Unity/C# gameplay and rendering engineer who built a custom per-object shadow system in URP that improved performance from roughly 30 FPS to 80+ FPS while preserving high-quality dynamic shadows. Also built a personal multi-process AI/LLM workflow platform with custom prompt/control protocols, streaming UX, and cost-optimized memory/caching architecture—showing unusual depth across both real-time graphics and applied AI tooling.”

“Early-career software engineer who has already owned a real-world web product end-to-end for a 100+ member university ACM organization, including requirements gathering, UI/UX improvements, hosting, CI/CD, and ongoing maintenance. Brings hands-on React and full-stack project experience with a strong bias toward practical execution, mobile-friendly design, and reliable delivery.”

eman akram

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Junior Full-Stack Developer specializing in AI/ML and mobile/web apps

Wah Cantt, Pakistan2y exp

“Built an end-to-end car maintenance application from design through deployment using TypeScript/React with a Node.js + Firebase backend, including OBD integration. Uses mock servers and a layered frontend architecture (UI/state/services separation) to iterate quickly on UX without being blocked by backend or hardware dependencies.”

Ekta Mulkalwar

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Junior Machine Learning & Full-Stack Engineer specializing in applied AI systems

Los Angeles, CA2y exp

“Master’s thesis focused on building and deploying a gait-based biometric authentication system using mobile accelerometer time-series data as an alternative to passwords/2FA. Emphasized real-world robustness by addressing sensor noise and variability (phone placement, walking speed, footwear) and improving safety using biometric metrics like FAR/FRR and EER, while collaborating closely with a non-ML thesis advisor.”

“Internship-built full-stack systems spanning HR employee-record portals and internal data-quality dashboards (Flask + SQL + React), emphasizing data integrity and rapid MVP iteration. Also implemented Flask microservices with RabbitMQ for distributed task processing, addressing duplication/ordering issues with idempotency, durable queues, and correlation-ID logging; delivered quantified productivity gains for HR teams.”