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Vetted Reporting Professionals
Pre-screened and vetted.
Senior IT Support & Wireless RF Testing professional transitioning to entry-level Cybersecurity
Junior Product & Project Manager specializing in Agile delivery and e-commerce growth
Mid-level Customer Success Manager specializing in SaaS customer advocacy and retention
Senior Customer Success Manager specializing in SaaS onboarding and e-commerce
Mid-level Media Buyer specializing in Snapchat, Pinterest, TikTok, and Meta ads
Mid-level Project Coordinator specializing in creative operations and digital marketing
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise compliance & fraud systems
Mid-level Digital Marketing Manager specializing in SEO and paid media
Mid-level Sales Development Representative specializing in outbound prospecting and pipeline generation
Mid-level Digital Marketer specializing in affiliate and performance marketing
Mid-level QA / Software Test Engineer specializing in video game testing and certification
Saihesh Maharaj
Senior Unity XR Developer specializing in VR training simulations
“Unity VR training-sim team lead who built a custom mining training simulator integrating specialized winder hardware, then boosted facilitator and trainee engagement with connection guidance, automated setup via Raspberry Pi 5, and in-VR task highlighting. Also implemented multiplayer features using Photon and iterated based on user feedback (e.g., customizable mixed-reality passthrough windows), using Azure DevOps/Boards for structured triage and delivery.”
Executive operations leader specializing in real estate, property management, and portfolio growth
Faheem Ur Rahman
Mid-level Meta Ads Manager specializing in data-driven performance advertising
“Performance marketer focused on Meta (Facebook/Instagram) ads for e-commerce brands, including launching a new vintage-items brand from scratch with a full-funnel approach (awareness through sales). Personally managed $50K+/month+ spend and reported strong efficiency (4+ ROAS, with some campaigns hitting 7+), leveraging UGC and customer-review creatives plus retargeting to drive results.”
Widhie Ayuningtyas
Mid-level Quality Assurance & Trust & Safety professional
“QA tester focused on sports apps and websites, combining detailed visual/content checks with regression testing and live soccer event monitoring. Experienced coordinating urgent incident response (e.g., black screen during live events) and documenting issues in Jira/Trello, including using AI to write clearer steps-to-reproduce.”
Stephanie Storey
Senior People Operations & Recruiting Support professional across education, healthcare, and retail
“Early-career recruiting candidate transitioning from customer service into recruiting; has hands-on experience as a McDonald’s hiring manager responsible for interviewing, hiring, and onboarding team members. Emphasizes strong organization, multitasking, attention to detail, and communication despite not yet managing client accounts or requisitions.”
Mid-level QA Tester specializing in game product testing and bug reporting
Mid-level IT Staff & Software Developer with graphic design and AR/Unity experience
Junior QA Engineer specializing in manual and API testing with growing automation skills
Junior Sales Development & Digital Marketing professional specializing in lead gen and CRM pipelines
Mid-level Meta Ads Manager specializing in data-driven digital advertising
Eduardo TorresRomero
Senior Performance Marketer specializing in paid acquisition and direct response
“Performance marketer with hands-on ownership of Meta, Google (Search/Shopping), TikTok, and Bing campaigns, including running their own e-commerce store. Reported generating ~$40k/month revenue on ~$8k/month ad spend with ~40% profit and achieving insurance lead CPL as low as ~$5.50. Uses creative/audience testing, lookalikes, and landing-page diagnostics (Microsoft Clarity) to troubleshoot and scale.”
Naresh N
Mid-level Full-Stack .NET Developer specializing in Angular web applications
“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.”