Vetted LLM Integration Professionals

“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.”

“Backend/ML engineering candidate focused on fintech automation who architected a zero-to-one agentic/LLM-enabled system to reconcile messy financial documents and bank transactions, reporting ~40% operational efficiency gains. Experienced migrating monoliths to event-driven microservices with incremental rollout via reverse proxy, and implementing production-grade security (OAuth2/JWT, RBAC, Supabase RLS) plus resilience patterns (timeouts/retries under concurrency).”

Maheswari Thokala

Screened

Mid-level Full-Stack Engineer specializing in cloud microservices and REST APIs

CA, USA4y exp

“Backend engineer building an AI-powered social media platform on AWS, with hands-on experience shipping LLM-backed application features and improving production performance under high traffic. Strong focus on reliability/observability (CloudWatch, structured logs, health checks) and database optimization (MongoDB explain/slow logs, indexing, caching, connection pooling).”

“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”

Jaiden Kettleson

Screened ReferencesStrong rec.

Entry-Level Full-Stack & AI Engineer specializing in chatbots and web apps

1y exp

“Data Science honors graduate (Maryville University) who has built Python/SQL backends and a capstone website handling sensitive user data. Emphasizes secure data handling (password encryption, secure database updates) and uses Git/GitHub Pages with CI/CD-style practices for managing and deploying changes.”

“Unity/C# gameplay engineer based in Portugal who shipped an AI-driven NPC narrative/quest system for a live mobile RPG, integrating Google Gemini via function-calling with strict JSON schemas to keep a deterministic game loop safe from hallucinations. Emphasizes high-performance engineering (zero per-frame GC, locked 60 FPS) with rigorous PR reviews and profiling gates, plus robust async/network patterns (UniTask, CancellationTokens) and LLM cost control via sliding-window context management. Seeking independent B2B contractor work at $45k–$50k USD/year.”

“Unity/C# gameplay programmer with professional experience at Fabwelt Studios on the play-to-earn title "Arsenal," implementing player mechanics, interaction systems, and event-driven gameplay features. Also built a research-focused Tetris prototype as a master’s thesis, adding seedable RNG controls, data logging, and a playtest harness to study how randomness affects player perception.”

Ethan Martin

Screened

Senior Unity Developer specializing in desktop and XR simulation apps

Remote4y exp

“Unity/C# developer who built and continues to evolve a data-driven product configuration system for complex medical equipment—reverse-engineering undocumented, massive databases and generating 3D configured products with extensive rules—helping users (e.g., hospital sales workflows) save time and support increased sales. Also built an internal LLM-powered debugging assistant using structured Unity/backend telemetry and has hands-on Unity Netcode experience in smaller multiplayer prototypes.”

“Unity/C# developer who led an end-to-end refactor of a Duolingo-style gamified app’s core progression and UI system, redesigning architecture with MVVM/SOLID and event-driven UI updates. Delivered measurable performance improvements (rankings view from sub-35 FPS to ~55–60 FPS) plus draw-call reductions using UI Toolkit and sprite atlases. Also supported Photon-based VR multiplayer (Meta Quest) in an educational accident-simulator, focusing on real-time debugging and sync strategy.”

Toufiq Hasan

Screened

Entry-level Software Engineer specializing in backend and AI integration

New York, NY1y exp

“Built and shipped an LLM-powered crypto price tracking and alert agent in a web environment that scaled to roughly 10,000 users. The candidate emphasizes production reliability, structured outputs, and data normalization, and cites strong product impact including retention growth from 35% to 65% and roughly 95% positive user validation on alert interpretations.”

Muhammad Midhat

Screened

Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations

9y exp

“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”

“Unity-focused game developer with hands-on experience shipping performance-critical mobile, multiplayer, AI-driven, and cross-platform VR/mobile systems. Particularly strong in profiling-led optimization, resilient LLM integration, Photon networking, and adapting shared Unity architectures across Meta Quest and mobile.”

Fernando Zaffaroni

Screened

Mid-level Game Developer specializing in Unity and Cocos casino games

Argentina7y exp

“Game developer focused on Unity/C# multiplayer systems who has built core PvP combat, matchmaking, and cross-platform interaction systems spanning VR (Meta Quest) and mobile. Particularly interesting for teams needing someone who combines gameplay architecture, networked systems thinking, and pragmatic AI-assisted production workflows.”