Oleg Sadykov
Principal, Architect
A little about me:
You’ve spent your career solving complex technology challenges. What’s one lesson about architecture that’s stayed true from the beginning?
Gall’s Law “A complex system that works is invariably found to have evolved from a simple system that worked”
To me this means that you have to be agile, you have to start simple and that evolution is the only way to combat complexity
Was true when people built Mainframe solutions, was true for building the Internet and remains true in the rapidly emerging world of AI
What separates a good Architect from a great Architect?
Humility, empathy and simplicity
Ability to say I took a wrong turn and we are going to change it now
Ability to feel the pain of the business people you are trying to help as your own
Ability to find solutions that are as simple as possible but not simpler
What’s the most rewarding problem you’ve had the opportunity to solve?
Building an ERP system for a non-profit organization who provided debt management solutions to its clients
Architecting a solution powering every function of the company was very challenging and rewarding at the same time
It was also one of the rare cases when the business improvements were very tangible and broadly recognized
And the most rewarding part was knowing the nature of the business the company was in and how many more people it could help using the solution we architected and built
How do you approach balancing business needs with technical excellence?
It’s easy if you are a natural learner (which as an architect you have to be)
Curiosity and desire to learn make necessary research, reading and experimentation a joy and not a burden
What advice would you give an engineer who aspires to become an Architect?
Always ask the why question
When you see software that works well (be it a business solution, a general framework, an operating system, etc.) always ask yourself why was it done this way and what were the key decisions that made it so successful
Jeff Sallans
Principal, Architect
Years at X by 2: 12 years (8 years as Healthcare Architect)
A little about me:
I have been a healthcare architect for over 8 year.
Roles I’ve Played: Product Owner, Enterprise Architect, Solution Architect, Project Manager, Healthcare Business SME, Security Consultant, Senior Developer, QA Automation Engineer, Designer
Technical Domains: Application, Data ETL, Data Reporting, Security, Cloud, and AI
Most Impactful Projects I lead from the business use case inception through design and production release: Generative AI Medical Record Summarization Feature, Medical Bill Review & Repricing Solution, Primary Care Capitation Simulation & Production Processing Engine, Provider Data Migration Product.
Impact of those project: Allowed nurses to identify complications with surgies and create better care plans that would have been previously missed. Allowed a start-up to disrupt the market with a SOC2 compliant product in 6 months. Foundational system to establish value based care program for a state population with a leading payor. Developed the first product at X by 2, leveraging over a decade of migration experience into a streamlined process.
You joined X by 2 early in your career. Looking back, what moments had the biggest impact on your growth?
When I consulted for my first start-up company. Helped me work closer to product owners, end users, and executives to understand project drivers and measure of success better.
You've worn a lot of hats throughout your career. How has that shaped the way you approach architecture?
At X by 2 we are focus on pushing ourselves out of our comfort zone.
Was there a point where you realized, "I want to be an Architect?" What sparked that?
My first project with Oleg S. I got to see how he. Being able to socialize the possible with executives and product owners. Really be transformative and have a real impact with the work we do.
What's a project that challenged the way you think about technology?
Primary Care Capitation project. This was
What's one thing you've learned from working alongside so many talented Architects and engineers?
Architects bring many experiences and having a diverse cohort is important.
If you could give your younger self one piece of advice on day one at X by 2, what would it be?
Focus on business needs.
Mitch Quinn
Director of AI/ML
Years at X by 2: 4
A little about me: I’ve been developing AI/ML driven solutions for over 20 years, with much of my career focused on healthcare and insurance. I enjoy working at the intersection of technology and business, turning complex problems into practical solutions and helping teams understand how emerging technologies can create real value.
Outside of work, I enjoy climbing, trail running, mountain biking, and traveling with my family. I also mentor a high school robotics team, where I work with students on programming, computer vision, and other engineering challenges.
How has AI changed the way you think about architecture?
I’ve been involved in AI/ML at enterprise scale for over 20 years, so building solutions around a technical crux that behaves probabilistically is deeply engrained in how I think about architecting a systems. some of the main questions we need to ask that are different from traditional architecture include:
How precise does it need to be ?
How do we monitor these systems to ensure it continues to be accurate as the data it uses evolves?
How do you design the system so its intelligence can evolve and improve over time, and deliver these improvements reliably to production systems.
What does it take to turn a promising AI idea into something that actually works in the real world?
Beyond the technical integration challenges, which are getting simpler everyday, Evaluation, Discernment over what to build, and grounding AI driven improvements to business value are the main pillars. ‘Actually working’ is easy, delivering meaningful and durable value is quite another. The opportunity space of solutions has exploded due to the recent democritization of AI. The hype driven by the influx of capital, desire to believe in magic, and FOMO has lead many to rush to build before knowing how well the solution needs to perform to be valuable, how to measure this performance, and to also greatly underestimate the lift to keep an AI solution running in the long run. Without this type of forward thinking, enterprises are left with a shanty town of hastlily cobbled solutions that deliver only marginal value.
What’s a problem you’ve worked on where AI allowed you to approach it in an entirely new way?
What skills or mindset will make Architects successful as AI becomes a bigger part of enterprise technology?
Learning how to evaluate the accuracy of the new capabilities unlocked by AI is foundational in the all stages of AI solutions, and there’s really no substitute or short cut to get around it. It guides the development of all AI solutions in optimizing their performance, and carries all the way through to change management and production monitoring.
It’s hard to build robust designs around a rapidly improving and somewhat randomly behaving component like an AI model, evaluation allows architects to make steady improvements, and rational choices that keep up with the progress of this technology.
The
How does X by 2 create opportunities for Architects to experiment, learn, and stay ahead of what’s next?
Syed Haider
Principal, Architect
Years at X by 2: 16
A little about me:
When you’re faced with a complex technical problem, how do you go about breaking it down and finding the right path forward?
What separates an architecture that looks good on paper from one that actually works in the real world?
An Architecture that accommodates ground realities such as existing IT investments, skillset limitations, and other organizational dynamics yet adheres to the core principles and best-practices that undergird it.
An architecture that can be demonstrated (fully or partially) to be viable and practical with technologies that are applicable to the current organizational context.
How do you decide when to introduce something new versus keeping a solution simple and proven?
Architecture is often about looking beyond what’s immediate and short-term, to ensure the decisions made now produce enough long-term dividends before they have to be revisited. If something works today effectively and efficiently but there’s major scalability or maintainability risk with it, we have to account for that risk in our recommendations. Experience tells us that there’s rarely a situation where only one path is viable and no trade-offs exist. In the end, we ensure that our Architecture blueprints are auditable (backed by a transparent and explainable risk-benefit analysis and sound evidence), before presenting those as recommendations.
What have years of solving complex technology problems taught you about making good architectural decisions?
Years of seeing architecture principles endure while technologies come and go have reinforced the belief that Architecture is more science than art – meaning it can be codified, repeated and and transferred as a skill to aspiring architects.
Asking ‘why’ before ‘how’ often gives us a perspective that helps us navigate the complexities of systems, technologies and even human interactions.
While structured thinking and problem-solving skills dominate this space, the role that creativity and even intuition play in defining a viable and elegant Architecture cannot be ignored.
What makes X by 2 a great place for people who genuinely love technology and solving hard problems?
X by 2 isn’t simply a playground for technology enthusiasts. Rather, it’s an environment where technologists are challenged to solve complex client business problems using technology as a strategic tool. We deeply value technical innovation, but we consider architectural thinking to be the foundational mental framework that ensures it is leveraged effectively, and in direct service of the client’s goals (and keeping with their constraints such as budgets and skillsets etc.)