Yoav Goldberg
Chief Operating Officer
Yoav Goldberg is Co-Founder and Chief Operating Officer at Anthrolytic, where he leads business development, operations, and product strategy. A programmer since age 14, Yoav brings years of hands-on software development experience to the company. Before co-founding Anthrolytic, he worked across hospitality and service roles while building web applications, developing the technical and operational expertise that now powers VirtualShift's go-to-market strategy. His work focuses on bridging the gap between cutting-edge AI capabilities and the real-world needs of hiring teams, ensuring Anthrolytic's platform delivers measurable value to recruiters and fair, transparent assessments to candidates.
Articles & Research
Blog Articles
How Can I Hire for Communication Skills Instead of Resumes?
A practical guide to assessing communication, teamwork, and composure before the interview. Why resumes fail, why interviews fall short, and how a structured pre-screen shows you the real person.
What AI Tools Can Pre-Screen Entry-Level Candidates Before Interviews?
A head-to-head comparison of the five main AI pre-screening platforms: Sapia.ai, HireVue, Harver, Paradox, and VirtualShift. Which measures what, which fits your hiring volume, and why voice beats text for customer-facing roles.
Hospitality, Retail, and Sales Are Not the Same Hire
Why prescreening only makes frontline hiring efficient when it reads for what's different about each sector. A guide to configuring your pre-screen for hospitality, retail, and sales.
Case Study: How The Fellas Adopted VirtualShift
How a Melbourne event bartending agency built a repeatable way to screen for coachability, communication, and other soft skills — and stopped guessing from resumes.
Research & Documentation
Ethical Considerations For Vertically Integrated Hiring Solutions Utilising Machine Learning Models
This academic work examines moral dimensions arising when ML models span the entire recruitment workflow. Rather than offering technical solutions, the paper concentrates on principles and potential harms relevant to practitioners when algorithms mediate employment access.
Domain-Specific Fine-Tuning of PersonaPlex-7b for Customer Persona Simulation
We fine-tuned NVIDIA's PersonaPlex-7b-v1 model on 200 synthetic coffee shop customer conversations to address hallucinations and poor task adherence in customer-facing deployments. Using LoRA training with ChatterboxTTS audio and LibriSpeech voices, we introduced a semantic-weighted loss function and voice prompt injection mechanism that improves emotional accuracy and reduces role-inversion hallucinations.