Get In Touch
Open to Forward Deployed Engineer, technical deployment, and RevOps/Customer Systems roles — happy to talk through the work on this site, or just say hello.
Contact Information
Open to: Forward Deployed Engineer · Solutions/Deployment Engineer · RevOps roles
Email: vyadavon@proton.me
Location: Austin, TX (Open to Remote)
LinkedIn: linkedin.com/in/vien-yadavongsy
GitHub: github.com/vienyadavon
Learn more about the characters behind the projects ▾Show less ▴
Character Profiles
Every project on this site plays out inside a fictional company, Pawsome Provisions — and these are the people who work there.
Anna is the first character introduced. She is the BA working with Metabase putting together dashboards. She has SQL in her front pocket - no matter the dialect (Postgres etc). Like other Pawsome Employees, she uses open source tools that keeps costs down.
Apollo is in charge of all facilities for Pawsome Provisions. Pawsome had a period of steady growth and in 2018–2019 acquired other facilities and equipment.
Violet is a systems thinker and enjoys learning about the other aspects of the industry. To her, it's not just revenue numbers, it's about making a difference in her community. She is known by her colleagues on and off the manufacturing floor for her ability to listen and come up with ideas that make life at Pawsome just awesome!
Although Hannah is not "native" to the manufacturing world, her insights on applying SaaS metrics to other teams (ARR, RevOps etc) work has been instrumental in keeping her customers engaged and prevented churn more times than the company can count!
15+ year veteran of Pawsome. Rex worked his way up in Sales and knows the ins and outs of the sales side of Pawsome.
Sasha isn't a Pawsome employee — she's the Forward Deployed Engineer at GuardRAIL, the MSP Pawsome brought in after realizing four separate "plant down" alerts during one storm meant something different than four separate problems. Sasha's job isn't to sell a dashboard. It's to sit with a GM like Apollo, ask what actually went wrong last time, and prove — with his own data, not a canned demo — that the noise can be collapsed into a signal he can trust at 2am.