Mark Backman is a product-focused software leader with 15+ years of engineering and go-to-market experience, currently serving as VP of Product at Daily in Atlanta. He combines a systems engineering background from Boeing and Raytheon with hands-on sales engineering and product leadership at Oblong, translating complex technical requirements into iterative, data-driven product roadmaps. Mark contributes to open-source conversational AI tooling—improving TTS quality and LLM parameter controls in the pipecat framework—showing he still ships code alongside shaping strategy. Known for driving rapid experimentation informed by analytics and user studies, he excels at aligning cross-functional teams to deliver continuous user value.
5 years of coding experience
12 years of employment as a software developer
B.S., B.S. at Columbia University in the City of New York
Open Source framework for voice and multimodal conversational AI
Role in this project:
Back-end Developer
Contributions:545 reviews, 443 PRs, 591 pushes in 11 months
Contributions summary:Mark's contributions primarily involved enhancing text-to-speech (TTS) services within the pipecat framework, focusing on audio generation functionality. Their work included adding sample rate settings to the OpenAI TTS services to control the quality of speech output, as well as integrating similar settings for Azure, PlayHT, and ElevenLabs TTS services. Additionally, the user introduced input parameters to the Anthropic, Together AI, and OpenAI LLM services to fine-tune model behavior, along with parameter options for Google, Azure, and AWS TTS services.
Open source conversation framework and visual editor for structured Pipecat dialogues
Contributions:13 releases, 42 reviews, 138 PRs in 4 months
aiconversational-aireal-time
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.