Vetted Workflow Automation Professionals

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.”

Xavier Thomas Arpa Lopez

Screened

Mid-level Unity Game Developer & Game Designer specializing in mobile and educational games

Málaga, Spain5y exp

“Unity game developer who built the economic system for an idle game (Hospital Empire), using spreadsheet-driven planning and iterative stat tuning to shape player feel. Has experimented with multiplayer networking via Mirror on an FPS prototype and uses GitHub Copilot to support modular/OOP-oriented planning and implementation; prefers remote/flexible work.”

Gabriel Webber

Screened

Senior Performance Marketing Manager specializing in paid media and affiliate growth

São Paulo, Brazil7y exp

“Performance marketer focused on high-spend lead generation, having personally owned a $500K/month account across Meta Ads and Google Search. Uses a full-funnel, multi-channel approach (including TikTok) and makes scaling decisions based on blended CPA plus downstream CRM quality metrics like lead-to-close rate, with disciplined creative/audience testing and clear client communication.”

“Unity developer with hands-on Meta Quest XR experience building a radiography/X-ray training proof-of-concept and deep expertise in performance and large-world optimization. Built a bus simulator largely solo, implementing modular vehicle systems, localized traffic AI, multiplayer, and low-end device optimizations. Also develops internal AI tooling (auto-documentation and an AI UI generator) to speed up prototyping and reduce boilerplate.”

Divya Patel

Screened

Mid-Level Software Engineer specializing in .NET and CMS platforms

Fremont, CA6y exp

“Built and owned end-to-end systems for the Department of Water Resources and NAHC, including a debt infrastructure management system and a TypeScript/React + .NET 6 CMS. Strong in shipping quickly with quality (CI/CD, automated testing), optimizing SQL Server performance for large datasets, and implementing microservices-style async processing with reliability patterns (retries/idempotency/monitoring). Also delivered widely adopted internal workflow automation and reporting using Power Automate and Power BI.”

“Non-traditional hockey background but demonstrates strong transferable skills for athlete guidance: research-driven evaluation, structured planning, and ongoing support. Has proven mentoring results (tutoring improved a student’s Algebra grade from 85 to 93) and relationship-building that contributed to acceptance into a graduate program and completion of a master’s degree.”

“Built and shipped a production LLM-powered document processing agent (ingestion→OCR→LLM extraction/classification→validation→DB/workflow triggers) using Kafka and PostgreSQL. Emphasizes production reliability with strict JSON schemas, idempotent services, retries/backoff, fallback models, and human-in-the-loop review—driving ~90% automation, minutes-to-seconds processing, and ~10x throughput.”

“Backend ERP developer specializing in Odoo (Python MVC) with hands-on experience integrating ERP workflows with external SQL databases and handling cloud deployment compatibility issues. Led a migration of ~40 years of legacy data into a modern ERP using scripted transforms and unique identifiers to preserve data integrity, and has experience implementing role-based permissions and preventing failure modes in SQL status update flows.”

“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”