This Maven is senior technologist who has 12 years of professional experience focused on web technology. He has a successful track record of building software engineering products, engineering management, and technical product strategy for leading software companies that vary in size from start-ups to the largest on the web.
For the past 9 years, he has been managing global product development teams, building products for ISV’s, OEM’s and various enterprises that require a deep technical backbone. He is an expert in Open Source technology, Agile methodologies, collaboration technigues and technologies, professional services, and the global delivery services model.
This Maven currently serves as CTO of Maven Research.
Responsible for the engineering organization at Maven Research. Lay out technical vision and direction Partnership and Agreements with 3rd party vendors Established the collaboration environment, development tools, and SDLC
My role as CTO was to re-invent the technology organization, transforming it from an IT mindset into a software company. My initiatives vastly altered the Outspark landscape, expanding from a tightly coupled, isolated architecture into a socially connection, SAAS platform with open api’s, and deep back end integrations to social platforms like Facebook and OpenID/Oauth. As CTO, I was responsible for a global delivery and operations in 3 offices; China, Korea, and in the US. In addition, I directly managed cross functional teams including Network Operations, Technology Operations, QA, Core Development, Front End Development, UI/UX design, and Business Intelligence/Data-warehousing. • Introduced SCRUM methodology company-wide, with 2 week release cycles (previously this was completely unmanaged and ad-hoc) • Implemented high availability, scalable hybrid production environment consisting of services rendered through CDN, Memcache, clustering, virtualization, and physical hosts. • Increased availability increased in 1 year from 96% to 99.9% through optimization of the physical system topology and improvements in software / platform implementation. On target goal for 6/2012 was 99.999%. • Managed company-wide product strategy efforts – all aspects design through deployment, from ideation to prioritization of sponsorship and development of all product features • Re-invented the Outspark platform into socially integrated platform from the a standalone model • Built and launched the Flint development portal and APIs – Flint allowed 3rd party game developers to self publish once the Outspark platform, there by gaining access to OSK payment gateways, CS services, server technology, business intelligence system/reports and Facebook integration that is done in the back end of the application stack. • Rebuilt and deployed new design for Outspark.com portal, improving branding and UI/UX experience.
Lead teams who build Social/Viral technology, platform components, webservices, and seeds of Outspark Flint platform.
Lohika is a Silicon Valley based company focused on providing software development services to technology companies. Lohika was founded in 2001, and is headquartered in San Bruno, CA. Lohika is a privately held company funded by Altos Ventures, Draper Richards, and private investors. Today, Lohika enjoys growth both in terms of revenue as well as head count. Currently the company specializes in five technical competencies; web development, digital media, network engineering mobile and quality engineering services. Lohika's engineering teams are based in three cities in Ukraine; Odessa, Kyiv, and Lviv. Clients include Rockmelt, Skype, eBay, Facebook, Logitech, and HP. • Acted as senior technical principle within Lohika • Managed Lohika Labs – an internal technology incubator for Determined technical direction Incubated customer teams during early relationship • Managed Lohika’s global PMO • Directed technology investment within the company • Implemented global development process, designing custom SCRUM/Agile based SDLC. • Designed and implemented development and corporate tool-chain • Represented Lohika’s technical competency in all sales events • Evangelized the use of open source, high performance Internet technology • Frequently traveled to Ukraine to meet with teams and management • Reported directly to Lohika’s CTO
• Acted as senior technical principle within Lohika • Hired initial engineering team in Ukraine • Provided technical oversight into the deliverables of offshore team • Created technical delivery process and development methodology • Implemented technical project management process and procedures • Set technical direction for company focus, and created focused competencies aligning people, process, and infrastructure
Shortly after the doc.com bubble bust, Mr. Platosh founded the services management firm Doctors, Networks, Consulting to service the “last mile” of IT/Software needs for independent, SMB medical clinics. DNC served 8 customers over a 12 month period. Chief Technology Officer • Provided consulting services to delivery strategic, technical, and business solutions for small and medium independent medical clinics. • Architected and built solutions using standards based open source technology that provided an end to end practice management solution • Implemented robust workflow, electronic billing
Scient, San Francisco, CA (start-up to 4,000+ with IPO) 05/97-12/00 I joined Scient as the 30th employee. During my 3+ years with the company, I participated in a variety of roles, from Developer to Product Strategist where I reported directly to the CTO. Product Strategist – Scient Product Company • Fulfilled technical role in 5 person “hit” squad that was designed to productize and monetize Scient’s IP • Reported to Scient’s Chief Technology Officer, when the firm’s size was at its maximum of over 4,000. • Created model of a Supply Chain Management with focus on collaboration, and net market integration. Product Strategist – Scient Mobile • Started and managed mobile commerce competency at Scient Architect and Team Lead – Boats.com (late stage start-up) • Architected SOA to enable eBay integration, and payment/billing system Architect and Team Lead – chaseonline.chase.com (large corp.) • Led Functional and delivery teams from both Scient and client to design and implement database compound-key repair tool repairing over 4+ million records. Lead Developer – chaseonline.chase.com (large corp.) • Developed a back end Java architecture to integrate multiple legacy banking systems into the new chaseonline.chase.com N-Tier platform Cryptography JAVA Developer – chaseonline.chase.com (large corp.) • Implemented Triple-DES encryption JAVA package. • Modified Triple-DES to one way encrypt user passwords for online access. PDA Architect and Developer – ePhysician.com (start-up) • Designed and developed industry’s first hand help prescription writing system, ePhysician.com • Designed the pharmaceutical industry first grammar for prescription writing. • Wrote 100,000 lines of double pointer based C code for Palm Pilot. • Developed fully functional DBMS for prescription data, achieving a 100:1 compression ratio
• Researched and developed multiple anisotropic texture mapping algorithms. • Developed multiple texture mapping and anti-aliasing architectures. • Built online examples of bilinear, tri-linear, and anisotropic texture mapping. • Optimized current technique of anti-aliasing to a result of best cost per performance ratio.
• Designed 220k gate VLSI ASIC for 3-d graphics acceleration - Patent applied for. • Utilized Frontline PureSpeed design suite for most designed. • Synthesized design via Synopsis Design Compiler v. 3.3a. • Wrote test vectors in compliance with Teradyne tester specifications. • Performed LVS and DRC functions.
Multimedia Developer – Training Software • Designed graphics for use in multimedia products. • Researched solutions for multimedia application. • Consulted with clients and defined media design and functionality.
1993 - 1998
Bachelor of Arts (BA)
Computer Science
Creating a profile is quick, easy and free.
AI-generated summaries, automated survey platforms, and quantitative panels have made it easier than ever to collect physician data at scale. A screener can be built in minutes. A survey can go out to thousands of physicians overnight. An AI tool can synthesize the responses before anyone on the research team has finished their coffee. Speed and scale have never been more available.
But speed and scale were never the hard part. The hard part, now more than ever, is capturing something real: physician insight.
As quantitative instruments and AI-assisted research become the default, physicians are on the receiving end of more automated, templated, multiple-choice outreach than at any point before. And predictably, that volume is producing diminishing returns. Physicians are not short on opportunities to engage. They’re short on reasons to believe any single interaction will surface something meaningful. The organizations that recognize this, and that make room for real human interaction alongside their automated tools, have a genuine opportunity to differentiate.
Physicians are surrounded by touchpoints: rep visits, digital content, webinars, research portals, and a growing wave of AI-optimized survey outreach. The issue was never access. The issue is whether any of it earns attention, and a checkbox instrument, however efficiently distributed, rarely does.
Every interaction now competes for an increasingly limited amount of clinical bandwidth, and the variable that determines whether a physician engages isn’t how efficiently the outreach was built. It’s trust. The question isn’t how often physicians are reached. It’s whether the moments created for them deliver something worth their time, and that’s precisely where quantitative, automated approaches tend to fall short. A five-point Likert scale can tell you what a physician selected. It can’t tell you why, what nuance they were weighing, or what they’d have said if someone had simply asked a good follow-up question.
Physician burnout and shrinking bandwidth are the operating reality the research and advisory industry have to design around. Practicing medicine has gotten harder, workloads have intensified, and physicians are noticeably more selective about where they spend time. Generic outreach, especially the kind that’s obviously automated or templated, reads as exactly that: a failure to respect their expertise and their time.
None of this means physicians are checking out. It means they’re filtering harder than ever, and attention has to be earned. An AI-drafted survey that could have been sent to anyone is easy to filter out. A genuine, well-scoped conversation is much harder to ignore.
Here’s the opportunity hiding in plain sight: physicians largely still want to participate in research and advisory work. Many enjoy contributing to it, believe it genuinely helps organizations understand physician insights and needs, and want their perspective to inform real decisions. What they’re rejecting isn’t engagement, its extraction disguised as efficiency.
This is exactly where qualitative, human-led formats (one-on-one interviews, small advisory panels, in-person conversations) outperform automated quantitative tools, especially now. When a physician is reasoning through a nuanced clinical question in their own words, with someone who can ask a real follow-up, they’re not just generating a data point. They’re contributing judgment that took decades to build. That distinction is invisible to a multiple-choice form and is exactly what AI-generated synthesis struggles to reconstruct after the fact. You cannot automate your way to the kind of insight that comes from a physician thinking out loud in real time.
This isn’t an argument against quantitative research or AI tools altogether, they have real value for scale, benchmarking, and pattern detection across large populations. But as those tools become ubiquitous and physicians become more attuned to being “processed” by them, the relative value of genuine human interaction goes up, not down. The scarcer real conversation becomes, the more it stands out, and the more physicians notice and appreciate it.
One assumption worth challenging is the belief that shorter, faster, and more automated is better. In practice, many physicians are comfortable with longer, more substantive engagements (a 45-60-minute conversation, even) as long as the topic is relevant, the format respects their expertise, and the compensation reflects what’s being asked of them.
Brevity and automation have become a stand-in for respect. But that’s the wrong proxy. If the topic matters and the exchange feel fair, physicians will give more of their time and more of themselves to a real conversation than to a quick automated form. The better principle: design for value and let value – not the pressure to scale – determine the format.
If the goal is to capture real insight rather than just more data, a few principles stand out:
As AI and automated quantitative tools become the default way the industry reaches physicians, the organizations that stand out will be the ones still willing to have an actual conversation. Every touch point is a chance to either build trust with a physician or spend it down. In a landscape increasingly filled with automated outreach, real human interaction isn’t just a nicer experience for physicians. It’s becoming the only reliable way to capture insight that’s actually true.
This is the exact problem a vetted expert network is designed to solve. Rather than relying on broad panels and automated instruments to approximate what physicians think, a well-curated expert network connects you directly with the right specialist for a real conversation: a live interview, an advisory session, a genuine exchange of judgment rather than checkboxes.
Looking for qualified experts, matched thoughtfully? Hoping to engage through real human interaction designed to respect your time and expertise?
Reach out to us, we’d love to support you.
The post Physician Insight: Human Interviews vs. AI Surveys appeared first on Maven Research.
