Vetted Design Patterns Professionals

“Full-stack engineer who built an end-to-end Next.js + Flask admin platform for Ciocca S.p.a., now used daily by 100+ employees for operations and warehouse workflows. Strong in performance tuning (API redesign, query optimization), secure RBAC, background job offloading, and integrating AI-powered internal tools that automate reporting and reduce manual workload.”

“Unity AR/VR developer with experience delivering multiple projects using Vuforia, Unity AR Foundation, and Niantic Lightship, including VR terrain generation from GIS data learned and implemented on a tight timeline. Built a personal Unity "LLM testing tool" integrating ChatGPT, Gemini, Claude, Mistral, and DeepSeek into NPC characters with customizable multi-party conversation behavior for comparative evaluation.”

“Early-career/learning-stage candidate focused on LLM systems; has not yet built or deployed production AI applications but is actively learning orchestration (Microsoft Semantic Kernel) and core patterns like RAG, embeddings, and model selection based on business requirements.”

“Game designer/developer who built and tuned an RPG prototype economy and progression loop end-to-end (two-currency system, exploration-driven rewards, and difficulty tiers based on exploration). Uses quick playtesting-driven iteration plus basic quantitative modeling (minimum economy to clear) and implemented probabilistic drop systems to prevent runaway rewards. Based in Buenos Aires and open to remote or local on-site work.”

“Unity gameplay programmer focused on player movement and "game feel," implementing responsive controls (variable jump height, forgiveness mechanics) by combining Update-based input with FixedUpdate physics and velocity-driven movement. Brings client-server/REST fundamentals from outside games and is actively ramping into Unity multiplayer (Photon/Mirror-style) via small synchronization prototypes.”

“Unity VR developer who recently completed a master’s dissertation building a VR Wellness System (Vive Elite + Kinect v2) to encourage daily exercise (walking/cycling/yoga). Ran user testing with 30+ participants and achieved >4.5/5 average ratings, then used Google Survey feedback to fix bugs and improve in-game action feedback; has exposure to multiplayer networking via Photon Fusion and Mirror.”