Founder & Architect · Los Angeles
I started out selling to physicians, then spent more than a decade recruiting at NBCUniversal, HBO, Sony Pictures and Quibi. Now I design and build AI products that let people rehearse sales calls, job interviews and hard relationship talks.
About
I started my career selling pharmaceuticals to physicians. Then I moved into recruiting and talent acquisition, spending more than a decade at NBCUniversal, HBO, Sony Pictures and Quibi.
Across both careers, I saw how much can turn on a conversation. An interview. A meeting with a physician. A salary negotiation. Preparation matters, but researching what to say and practicing saying it are two different things.
So I taught myself to build with AI and founded ReflectivAI, CareerPaver and Lumira to give people more chances to practice before those conversations happen.
The only place to practice a hard conversation was in front of the physician. Now reps can practice with an AI physician that pushes back.
I was the recruiter on the other side of the table, so I know why strong candidates never hear back.
The relationships that last are the ones where someone notices the friction early and says something.
Results
AI products designed and built myself
ReflectivAI, CareerPaver, Lumira
Faster time to hire
Quibi, Workday ATS integration
Lower voluntary turnover
Roadr, predictive staffing dashboards
Roles recruited full cycle
HBO
What I’ve built
Each one comes from a chapter of my career. I designed and built all three, end to end.
AI role-play and coaching for reps and commercial teams in pharma, medical device and biotech. Adaptive AI physicians push back in real time, coaching is built on Signal Intelligence, the eight-dimension framework I co-developed with Desiree Young, and agents turn a territory report into a plan for the week and a pre-call brief.
I designed and built the web platform, the Role Play Simulator and the iOS app.
It reads a posting the way a screener does, shows what’s costing you the interview, and tailors without inventing experience. Then it gets you ready for the conversation itself, with interview rehearsal in the Pressure Room and salary practice. Agents rank new roles and line up next steps, and nothing happens until you approve it.
Looking for the AI Interview Practice demo or the Resume Optimizer that used to live here? Those ideas grew into CareerPaver. Start with the free Debrief.
A private space for any two people who matter to each other: partners, family, friends or colleagues. Mira, an AI coach grounded in relationship science, helps each person say the hard thing before it turns into a fight, with guided check-ins, repair after a hard moment, rehearsal for difficult conversations and a daily question that stays sealed until both have answered.
I designed and built it end to end.
How it connects
It didn't look like a plan at the time. Looking back, each turn gave me one piece of what I build now.
Sepracor Pharmaceuticals
A whole call could turn on a few minutes with a physician, and the only place to practice was in front of the physician.
Became ReflectivAI
NBCUniversal, HBO, Sony Pictures
From the other side of the table, I saw why strong candidates never hear back.
Became CareerPaver
Quibi, Flowserve, Roadr
I moved from filling roles to building the systems behind them, from Tableau reporting to predictive staffing in Python and SQL. And I learned the relationships that last are the ones where someone notices the friction early.
Became Lumira, and the skills to build all three
ReflectivAI, CareerPaver, Lumira
I taught myself to build with AI and designed and built all three products, each one drawn from an earlier chapter.
Places to practice the conversations that matter, before they happen
Detours, a weekly column
The story behind each turn, with the data that says a path like this is normal.
Experience
ReflectivAI, CareerPaver, Lumira
Taught myself to build with AI and designed and built three products: ReflectivAI for life-sciences sales teams (since January 2025), and CareerPaver and Lumira (since January 2026).
Roadr
Scaled HR operations to onboard 50 to 70 contractors a quarter and built predictive staffing dashboards in Python and SQL. Created pipelines to track time to hire, voluntary turnover and productivity.
Flowserve
Integrated workforce data and built dashboards to track satisfaction and retention trends, then used the patterns to recommend improvements.
Quibi
Led HR tech integration with the Workday ATS and built Excel and Tableau reporting on hiring pipelines and recruiter performance. Designed leadership programs and dashboards.
Sony Pictures Entertainment
Built leadership-focused recruiting strategies, launched DEI initiatives based on workforce demographics, and built succession-planning models.
HBO
Managed full-cycle recruiting for 200+ roles and built a central database tracking candidates, referrals and diversity metrics. Reported on time to hire, offer acceptance and compensation equity with Excel, SQL and HRIS data.
NBCUniversal
Recruited across departments and redesigned onboarding programs.
Sepracor Pharmaceuticals
Called on physicians. That’s where the idea for ReflectivAI started.
UC San Diego · BS, Management Science
Download Resume (PDF)People analytics
Portfolio work from my HR years: turnover, recruiting funnels, attrition models and workforce planning. Built on sample data, never client data.
Tableau and interactive report pages.
Nine years of HRIS data by department and tenure, showing where turnover spikes.
Open on Tableau Public
Diversity, hiring and engagement metrics in one view with interactive filters.
Open on Tableau Public
Attrition risk, engagement, time to fill and productivity by department in one dashboard.
Open on Tableau Public
Where candidates drop off, how long each stage takes and how time to hire trends.
Open report
Twelve-month headcount scenarios by department under different attrition and hiring rates.
Open report
Representation by department across race, gender and job level.
Open report
Attrition rate, who left, when, and where satisfaction is lowest.
Open reportPredictive models and AI support analytics.
Which factors drive attrition risk, and how risk is spread across the workforce.
Open report
Which onboarding and manager interventions moved early attrition, and by how much.
Open report
How engagement relates to productivity and turnover, department by department.
Open report
What customers ask an AI assistant about, how often it resolves them and how they rate it.
Open report
Precision, recall, F1 and misclassification across six model versions.
Open reportThe full write-ups, with the numbers from the original analyses.
Finding the stage where candidates stall, and what shortening it does to time to hire.
Read the case studyA predictive model that flags who may leave so HR can have the stay conversation early.
Read the case studyPredictive plus prescriptive analytics to decide where onboarding money does the most good.
Read the case studyRecent writing
Short takes on sales, interviews and relationships, from what I saw in pharma, recruiting and HR.
“Leaving an interview early is almost never the right call.”Read on LinkedIn Sales
“You get maybe three minutes with a buyer who matters. Less, some weeks.”Read on LinkedIn Relationships
“Three relationships usually get the least attention: the coworker, the friend, the sibling.”Read on LinkedIn
Skills & tools
Certifications
LinkedIn · Feb 2025
View certificateLinkedIn · Feb 2025
View certificateLinkedIn Learning · 2025
View certificateLinkedIn Learning · 2025
View certificateLinkedIn Learning · 2025
View certificateLinkedIn Learning · 2025
View certificateSimplilearn SkillUp · 2025
View certificateAIHR, Academy to Innovate HR
AIRS
Reading list
Free sources on AI, work and people. No login needed.