Vetted Microsoft Azure Professionals

“Unity VR developer who built "instructor tools" for a skydiving/canopy training simulator, including comfort-focused wind/landing assessment features to reduce motion sickness. Implemented the simulator’s full Photon PUN networking and added Agora-based video streaming so instructors could run sessions with participants joining from browsers/tablets, while managing real-world latency constraints.”

Umair Shamoon

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Mid-level Full-Stack Developer specializing in MERN/MEAN and cloud-native web apps

8y exp

“Frontend engineer with end-to-end ownership of React/Next.js products, focused on scalable component-based architecture and quality via CI/CD, automated testing, and disciplined PR reviews. Built React + TypeScript dashboards with role-based views using Zustand, and improved existing codebases by decoupling components and boosting performance through code splitting, lazy loading, and standardized shared components.”

Gabe Hoing

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Intern-level software engineer specializing in full-stack and data systems

Spokane, WA2y exp

“Built an AI agent management system in a senior design project to support cybersecurity analysts with gathering and triaging emerging threat intelligence from sources like CISA. Stands out for a thoughtful, production-minded approach to AI development, using specialized agents, strict output schemas, and deterministic controls to manage failure cases.”

“Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.”

“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”

“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”

Felipe Icaza

Screened ReferencesStrong rec.

Senior Full-Stack Developer specializing in React/Next.js and NestJS

Toronto, ON4y exp

“Frontend-focused full-stack engineer who built and shipped Atlas Link (atlaslink.io), an ops/admin dashboard for an alumni directory designed to scale across clients and large datasets. Strong on architecture boundaries, typed API contracts, and performance-heavy table UIs, with a rigorous testing approach (TypeScript/Jest/React Testing Library) and experience modernizing a legacy ASP.NET MVC app with a new component layer and cleaned-up CSS system.”

“Built production-style backend and AI systems across internship and project work, including a real-time sports platform backend and a Smart Email Assistant using GPT-4. Stands out for combining classic backend performance engineering with practical LLM workflow design, including measurable latency improvements, high uptime, and debugging of non-deterministic model behavior.”

“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.”

“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”

Keegan Bond

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Junior Full-Stack Software Engineer specializing in React, Node.js, and real-time collaboration

Remote1y exp

“Frontend-focused engineer and former frontend team lead who built a React product from zero-to-MVP (including complex UI like tables and chat) and implemented scalable architecture, shared typing, and UI quality workflows (Storybook/Chromatic). Also built a React+TypeScript internal dashboard for sales/marketing with filtering/search, and has experience collaborating with designers in Figma while iterating quickly in a startup environment.”