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Vetted macOS Professionals
Pre-screened and vetted.
Matthew Allyn
Executive engineering leader specializing in enterprise architecture, cloud, AI, and FinTech
“Engineering leader with experience modernizing e-commerce platforms and leading product strategy for data-driven franchise growth tools. Notable for scaling distributed teams, making pragmatic build-vs-buy and architecture decisions, and delivering measurable business impact including dramatically faster checkout performance and revenue gains.”
Andrew Fares
Mid-level Data Engineer specializing in AI, GenAI, and cloud data platforms
“Built production AI systems inside AWS finance/procurement, including an LLM-based supplier quote classification and price-vetting workflow that drove $5M in savings over 3 months. Combines GenAI evaluation expertise, internal platform design, and reusable Python data-quality tooling with strong cross-functional execution across finance, accounting, and hardware engineering.”
Kenneth Young
Senior Site Reliability Engineer specializing in production LLM/RAG deployments
“Built and operationalized an internal LLM/RAG system for engineering specs—starting with an at-home prototype using real ERP documents, then securing hardware, standing up a GPU/software stack, and deploying through UAT to production. Identified organizational gaps (no shared spec repository) and created a queryable RAG database that reportedly cut document discovery from days/weeks to minutes, while also resolving retrieval issues via improved PDF-aware chunking.”
Christopher huebner
Senior Unity/Full-Stack Engineer specializing in distributed systems, VR, and AI/LLM integration
“Unity/C# gameplay engineer who has shipped a modular, data-driven combat ability system with strong measurable outcomes (≈80% fewer GC allocations, 15–20% better frame times, 10–12% higher early retention). Also integrated an LLM-driven NPC dialogue/quest hint system with a C#/.NET backend, caching/guardrails, and telemetry-driven iteration, and shipped Photon PUN real-time 4-player co-op plus a shared codebase across Meta Quest VR and iOS/Android.”
Mid-level Software Engineer specializing in robotics, AI, and full-stack systems
Senior Software Engineer specializing in game development and 3D/AR/VR systems
Senior QA/Test Engineer specializing in cross-platform testing and identity, automotive, and consumer apps
Mid-Level Software Engineer specializing in FinTech payments and risk platforms
Senior QA / Quality Engineering Lead specializing in mobile, AR, and monetization flows
Senior Cloud DevOps Engineer specializing in AWS/Azure platform engineering
Senior Software Engineer specializing in scalable cloud microservices and AI integration
Senior QA Engineer specializing in AR/VR, 3D pipelines, and performance testing
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Mid AI/Machine Learning Engineer specializing in LLMs, NLP, and Computer Vision
Senior Software Engineer specializing in AWS serverless backend and data engineering
Senior Editor/Producer specializing in unscripted, documentary, and broadcast post-production
Vela Sivasankaran
Executive technology leader specializing in cloud, telecom, and digital transformation
“Former founder of a financial services technology startup that is currently on hold for family reasons. Has hands-on startup fundraising exposure from employee roles, including presenting proof-of-concept demos to venture capital firms, and brings a strong focus on fraud prevention, safeguards, and regulatory compliance.”
Meredith Ma
Entry-level AI/ML Software Engineer specializing in generative AI and computer vision
“Built and owned a production RAG coding assistant at Magna International used by 200 engineers, with hands-on work across React/TypeScript, retrieval infrastructure, and Postgres observability. Also brings an unusual blend of product UX thinking from AR game onboarding work, showing strength in both technical systems reliability and user activation.”
KaMing Cheung
Junior Software Engineer specializing in full-stack and machine learning
“CMU IoT coursework project builder who implemented an end-to-end TinyML gesture recognition system on a Particle Photon + ADXL345, streaming data via MQTT/Node-RED to a real-time Node.js frontend and deploying a quantized logistic regression model on-device. Also explored multi-drone coordination, implementing leader-follower offset control and a pivot/arc turning strategy to avoid collisions, and brings practical Docker/Kubernetes plus CI/CD workflow experience from internships.”
Sanjana Janardhan
Intern Full-Stack Engineer specializing in AI/ML and cloud infrastructure
“Built multiple AI-powered products from scratch, including ConnectAbility, an accessibility tool combining computer vision and LLMs to describe visual content for users with disabilities, and SpamBack!, a macOS app that detects scam texts and auto-generates responses. Stands out for full-stack/backend ownership of applied AI systems, especially around async workflows, inference performance, and reliability safeguards.”