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Jason Chong

AI Safety Engineer
Worked with Google, BHP, and Pfizer.
Jason Chong has over 20 years of experience leading and managing global programs, functions, and operations in various industries. He has established a solid track record in delivering business innovation and transformation and leading companies to achieve operational efficiency and change through agility, design thinking, lean management, and data insights. At BHP, he has spearheaded a large strategic program to deliver the benefits for automation, business insights, digital transformation, and cloud migration. Jason also worked in senior project management roles for Pfizer, Barclays Bank, Cargill, Cisco, and HP.

Peter Faasse

AI Safety Engineer
Former data science manager for Career Analytics.
As a data scientist, Peter Faase has expertise in solving complicated data problems and working with Big Data to generate useful insights, intelligence, and applications. Combining his strong communication, presentation, and analytical skills, he has created data-driven solutions for organizations by designing and running complex data analyses trajectories using machine learning, predictive analyses, Artificial Intelligence (AI), and other statistical and mathematical techniques. He is skilled with tools such as Python, MySQL, SPSS, and Excel and also familiar with Agile Scrum techniques.

Mohan Kagita

AI Safety Engineer
Former data scientist for Newcrest Mining.
Mohan Kagita is an experienced artificial intelligence and data consultant who worked with multiple Tier 1 companies across Australia including Commonwealth Bank, MasterCard, NAB, Optus, Newcrest Mining, and Deakin University. His core expertise includes research, development, and deployment of AI and Data Science capabilities across a wide range of technologies and industries. He also integrates advanced AI capabilities with mining technology to enhance operations and safety across all mine sites.

Priya Laxman

AI Safety Engineer
Former digital data analyst for MYER.
Priya Laxman is a data professional with four years of industry experience specializing in forecasting, predictive modeling, data visualization, data modeling, digital analytics, and supply chain analytics. She was a digital data analyst at MYER, where she analyzed data to uncover insight used to improve the digital customer experience and drive business outcomes. At 460degrees, Priya worked as a data consultant for clients such as VicTrack, Telstra, and DBM Consultants. She is also proficient in tools like Tableau, Google Analytics, Data Studio, BigQuery, Hotjar, SQL, Python, R, Power BI, SAS, Python, Adobe Analytics, and Net Insight.
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Frequently asked questions

Most teams see matched candidates within 48 hours. Our pre-vetted network means we are not starting from scratch when you reach out. If we do not have the right person available, we will tell you upfront rather than scramble.
Practitioners vet practitioners. Your growth marketer candidate gets interviewed by someone who has run growth at similar companies, not a recruiter checking keywords. We combine technical assessments, portfolio reviews, and cultural fit screening before anyone reaches your inbox.
Contract talent works on defined projects with clear deliverables. Embedded talent integrates into your team for ongoing work, attending standups and using your tools. Both can transition to full-time if the fit is right. We help you choose based on scope, timeline, and budget.
If it is not working in the first few weeks, we will find you a replacement at no additional cost. We are not in the business of defending bad matches. Most clients never need this because we invest heavily in fit upfront.
We offer flexible engagement models: hourly for short-term projects, monthly retainers for ongoing work, or placement fees for full-time hires. No hidden fees, no long-term contracts unless you want them. Your account manager will walk through options on your discovery call.
Yes. Someone who thrived at Google with dedicated QA, DevOps, and product managers may flounder when they have to wear all three hats. We look for people who have operated at your stage, pace, and level of ambiguity.
Yes, and not just the flashy demo-building part. Our Agent Operations practice includes people who have run AI agents in production and dealt with the messy reality of keeping them reliable, cost-effective, and safe.
Most marketplaces optimize for volume. They send you 10 candidates hoping one sticks. We optimize for fit. We would rather say “we do not have the right person” than waste your time. Our 95% satisfaction rate comes from being selective, not fast.