Charna Parkey, Ph.D. Email & Phone Number

Seattle, Wa, Us

Seattle, Wa, Us

What can we learn from ai-native development through stimulating conversations with developers, regulators, academics and people like you that drive forward development, seek to understand impact, and are working to mitigate risk in this new world?Join Charna Parkey and the community shaping the future in Season 6 of open source data talking about open source software, data in AI, and much more!

Cologny, Geneva, Ch

In addition to ongoing contributions to the working group, I contributed to paper launched at DAVOS in January 2024 - Unlocking Value from Generative AI: Guidance for Responsible Transformation paper. See linked Media for more info.

Santa Clara, California, Us

My responsibilities span Product, Strategy and Operations for the CTO who advises on technology across DataStax as well the departments under Innovation who have launched and supported such products as Content Centric Knowledge Graphs, RAGStack, LangStream, Kaskada, and Astra Streaming. I work directly with enterprise customers, partners, and the ecosystem to bridge the gap in the evolving GenAI ecosystem as they build transformative applications with GenAI.DataStax is the company that helps Developers and Companies successfully create a bold new world through GenAI. We offer a One-stop Generative AI Stack with everything needed for a faster, easier, path to production for relevant and responsive GenAI apps. DataStax delivers a RAG-first developer experience, with first-class integrations into leading AI ecosystem partners, so we work out with developers’ existing stacks of choice. With DataStax, anyone can quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, VerSe Innovation, and many more rely on DataStax to deliver GenAI. Learn more at DataStax.com

Seattle, Washington, Us

Seattle, Washington, Us

As a Data Science Lead on Kaskada's Product team I often wear several hats: a product manager and all that goes with it (product research, go to market strategy, product requirements), an internal data scientist using our product, and an external data scientist contributing to the community. Check out some of my latest articles on my feed.

Seattle, Washington, Us

As Textio’s Applied Scientist, I helped companies build a relationship between the language they use every day, their corporate culture, and the people they end up hiring as a result. In addition to analyzing language patterns across Textio's global hiring data, I frequently interviewed industry visionaries, presented at conferences, and met with customers. With a PhD in digital signal processing, I was hired as Textio employee #6 to help engineer an early version of the company's flagship augmented writing technology. I then went on to build the role of VP of Customer Success, where I hired and led the teams that rolled out Textio's award-winning platform across a broad range of industries, including a quarter of all Fortune 100 companies.Connect with me on Twitter (@CharnaParkey) and here on LinkedIn to join the conversation.

Seattle, Washington, Us

I lead a team of Account Managers, Customer Success Engineers and Support dedicated to ensuring our customers success.The account management team is responsible for driving adoption across Fortune 500 enterprises and SMBs, monitoring usage and analyzing our customers workflow to more closely integrate Textio, and proactively connect customers with different parts of the Textio team.Customer success engineering is a mixture of data science and story telling, they focus on surfacing the language patterns that are impactful within each Customers data.Textio is an augmented writing platform, powered by a predictive engine that uses customer data to uncover meaningful patterns in language, presenting insights that will lead to stronger communication and better business outcomes.Hear more from companies like Procter & Gamble, Johnson & Johnson, Zillow Group and Cisco about integrating augmented writing into their workflow and the impact it has take a look at our blog dedicated to their stories https://textio.ai/customers

Seattle, Washington, Us

Like many emerging SaaS companies that have machine learning at the heart of their platform, Textio’s business model relies on a robust exchange of data with our customers. The more each customer fully adopts Textio into their writing process, the better the product works for everyone. That means that our customer success operation and data engineering have to be tightly integrated. That’s why we call it Customer Success Engineering.I've built our Customer Success Engineering discipline and am scaling the team and the system. When I'm not Directing I'm working directly with small startups and Fortune 100 companies, helping them use Textio to measure and correct for unconscious bias where it begins: in the language of their hiring and recruiting documents.

Seattle, Washington, Us

Seattle, Washington, Us

Orlando, Fl, Us

-Design, Develop and Implement Advanced Digital Signal Processing Algorithms in Synthetic Instrumentation for Commercial and Military uses. -Communicate with potential customers to translate technical needs to product requirements.-Research and publish new approaches and technologies relevant to the Instrumentation and Measurement community. -Collaborate across the organization and with academia to bring new products to market.

Orlando, Fl, Us

Analog Filter Design Lab

Orlando, Fl, Us

-Designed and developed DSP algorithms for a ball joint gimbaled mirror.-Researched various topics such as adaptive algorithms, communications, and Time Interleaved Analog to Digital converters.-Participated in group research projects.-Publications can be found in my publication list.

Orlando, Fl, Us

-Taught the Analog Filter Design lab to approximately 40 students per semester. Hands on bread board circuit design, analysis and testing was the main topic.-Developed lab materials for students lab reporting etc.

Designed and developed real time embedded DSP algorithms for the location and diagnosis of Public Safety Radios. Applied for grants and developed an Android App for one such grant.

Phd, Ee

M.S., Electrical Engineering

Bachelors, Computer Engineering Technology

Bachelors, Electronic Engineering Technology