MSH Press Kit

Photos, bios, and contact information for MSH and its founder, Oz Rashid.

MSH at a glance

We are a minority-owned business

MSH is certified as a Minority Business Enterprise by the National Minority Supplier Development Council.

We believe technology enhances the human experience

MSH is certified in Databricks and Informatica.

We were voted as one the best places to work

In 2023, MSH was recognized as one of the top 5 places to work by the South Florida Business Journal.

Quotes about MSH

Artificial Intelligence (AI)

MLOps vs. LLMOps vs. AIOps: What Each One Actually Does

MLOps vs LLMOps vs AIOps explained, what each one does, which you actually need, and the people you hire to run it. A clear guide with a decision map.

Data Engineering

The 10 Best MLOps Platforms in 2026

The 10 best MLOps platforms in 2026 compared on features, deployment, price, and the people cost to run each. A neutral guide from the firm that staffs them.

Podcast: Jessica Kalinowski — Way Too Much: Rethinking the Modern Interview Process

Jessica Kalinowski, Head of Reliability and Security of Beacon Biosignals, joins us to unpack how she took an engineering org from one or two releases a month to 130, all without a single AI adoption mandate. Her path runs through McKesson and connectRN, where she most recently served as Vice President of DevOps and Corporate IT. Jessica also makes the case that most hiring processes have grown bloated rather than accurate, and shares why she leads every team with a psychology degree instead of a computer science one.

About Oz Rashid

Download Image

Short Bio

Oz Rashid is the Founder and CEO of MSH, a global services and SaaS organization that works with companies ranging from start-ups to Fortune 100. Through innovation, empowerment, and a higher standard of excellence, Oz helps clients in solving talent and technology challenges holding back their business. As a minority business leader, Oz disrupts the status quo, placing the focus back on customers in the recruiting, consulting, and HR Tech industries. He is also a loving husband, dad, and sports fan.

Long Bio

Oz Rashid is the Chief Executive Officer and Founder of MSH, a global talent solutions, technology consultancy, and SaaS provider empowering people and enterprises to thrive. He is manifesting a hiring revolution by combining leading-edge tech and data science to provide organizations with the high-quality, vetted candidates they need to succeed in 35+ markets across three continents.

Oz held leadership positions throughout different industries, observing how hiring experience, a unified culture, and customer-centric approach are critical to an organization’s success. As a minority business leader, Oz believes in disrupting the status quo to achieve excellence in identifying, attracting, and retaining top talent.

More About Oz

Quotes about Oz Rashid

Artificial Intelligence (AI)

MLOps vs. LLMOps vs. AIOps: What Each One Actually Does

MLOps vs LLMOps vs AIOps explained, what each one does, which you actually need, and the people you hire to run it. A clear guide with a decision map.

Data Engineering

The 10 Best MLOps Platforms in 2026

The 10 best MLOps platforms in 2026 compared on features, deployment, price, and the people cost to run each. A neutral guide from the firm that staffs them.

Podcast: Jessica Kalinowski — Way Too Much: Rethinking the Modern Interview Process

Jessica Kalinowski, Head of Reliability and Security of Beacon Biosignals, joins us to unpack how she took an engineering org from one or two releases a month to 130, all without a single AI adoption mandate. Her path runs through McKesson and connectRN, where she most recently served as Vice President of DevOps and Corporate IT. Jessica also makes the case that most hiring processes have grown bloated rather than accurate, and shares why she leads every team with a psychology degree instead of a computer science one.

Featured Media

Artificial Intelligence (AI)

MLOps vs. LLMOps vs. AIOps: What Each One Actually Does

MLOps vs LLMOps vs AIOps explained, what each one does, which you actually need, and the people you hire to run it. A clear guide with a decision map.

Data Engineering

The 10 Best MLOps Platforms in 2026

The 10 best MLOps platforms in 2026 compared on features, deployment, price, and the people cost to run each. A neutral guide from the firm that staffs them.

Podcast: Jessica Kalinowski — Way Too Much: Rethinking the Modern Interview Process

Jessica Kalinowski, Head of Reliability and Security of Beacon Biosignals, joins us to unpack how she took an engineering org from one or two releases a month to 130, all without a single AI adoption mandate. Her path runs through McKesson and connectRN, where she most recently served as Vice President of DevOps and Corporate IT. Jessica also makes the case that most hiring processes have grown bloated rather than accurate, and shares why she leads every team with a psychology degree instead of a computer science one.

Podcast: Curt Kwak — Why This Healthcare CISO Left the Private Sector for Public Service

Curt Kwak, Chief Information Officer and Chief Information Security Officer at the Washington State Office of the Insurance Commissioner, spent most of his career protecting patient data and hospital systems before making an unusual jump: trading healthcare's private sector, including nearly a decade at Cambia Health Solutions and Proliance Surgeons, for a state regulator's desk. Curt talks candidly about leading IT and security for a state insurance regulator, why AI literacy is now a priority for his agency, and the hiring philosophy he trusts most: look past the résumé and find the human connection first.

Artificial Intelligence (AI)

The Companies That Will Win The AI Gold Rush (And The Ones That Will Miss It)

AI optimism, the gold rush that's going on in different industries, and giving people purpose in their work. There will be winners and losers, but they have not been crowned yet. And it's not too late.

Data Engineering

Enterprise MLOps: the Lifecycle, the Best Practices, and the Team

The enterprise MLOps lifecycle, best practices that keep models alive, and how to manage the team that runs them, from the firm that staffs it.