Dhruv Bhoot is the Co-founder and CTO of HappyFleet AI, where he leads the engineering and machine learning behind the platform's voice agents — the technology that calls, screens, and scores every driver applicant within minutes of applying. With more than a decade building data and ML systems, Dhruv turns messy, real-world hiring into software that operators can actually rely on.
His background sits at the intersection of applied AI and high-scale infrastructure. Before HappyFleet, he built recommendation, speech, and automation systems for consumer and enterprise products, shipping models into production where reliability, latency, and cost all matter as much as accuracy. That experience shapes how HappyFleet is built — agentic systems that hold a natural conversation in a candidate's own language, 24/7, without dropping a call or a candidate.
Dhruv is a pragmatic engineer first. He cares less about the newest model and more about the system around it: clean data, tight feedback loops, and automation that removes busywork instead of adding dashboards. His goal is simple — make the technology disappear, so a hiring team feels like they have an extra recruiter who never sleeps.
Based in the San Francisco Bay Area, Dhruv is happiest with a hard problem and a whiteboard. When he steps away from the codebase, you'll find him hiking, tinkering with side projects, and chasing a good cup of coffee.
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