Dhara Shah

AI Recruiter at Modular

Full Lifecycle RecruitingAI/ML Technical SourcingDiversity Hiring StrategyStakeholder ManagementProcess OptimizationExecutive Search

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About

I'm Dhara Shah, currently an AI Recruiter at Modular. My career has been defined by a passion for connecting high-impact talent with world-changing technology, having spent over a decade scaling technical teams at Google and Meta. With a background in Psychology and Economics and an MBA where I was a Gold Medalist, I bring a data-driven yet human-centric approach to recruitment. I specialize in AI/ML, infrastructure, and executive search, and I'm a vocal advocate for modernizing technical interviews to include AI tools. I'm passionate about diversity, open-source ecosystems, and building efficient hiring pipelines that don't sacrifice candidate experience. Whether you're a PhD researcher looking for your next challenge or a leader looking to optimize your hiring strategy, I'm always eager to discuss how we can build the future of AI together.

Networking

What I can offer

›Expertise in AI/ML hiring strategy
›Insights into technical interview optimization
›Mentorship on full lifecycle recruiting best practices
›Guidance on diversity and inclusion branding

Looking for

›Senior Machine Learning Engineers
›Mobile and Software Engineers
›PhD-level AI researchers
›exploring mutual opportunities in the AI and recruitment space

Best fit for

AI/ML ResearchersSoftware EngineersRecruitment ProfessionalsTech Leadership

Current Interests

Llama models and Open-Source AIAI SafetyAI-enabled coding toolsInternal talent mobilityAccessibility initiatives

Background

Career

Began as a Research Associate and Co-Founder before transitioning into high-level technical recruiting at Google, Meta, and currently Modular.

Education

MS in Human Resource Management from Golden Gate University; MBA in Family Business and Entrepreneurship from Nirma University (Gold Medalist); BA in Economics & Psychology from Gujarat University (Gold Medalist).

Achievements

›Exceeded hiring targets by 125% QoQ at Google and 240% at Meta
›Reduced Time to Hire by 50% at Google through pooled hiring processes
›Increased diversity in strategy consultant pipeline to 55%
›Maintained >95% candidate satisfaction scores at Meta
›Two-time Gold Medalist for academic excellence

Opinions

Coding interviews should reflect real-world environments; using AI tools in interviews is not cheating.
Diversity requires actively challenging leadership on unconscious biases and unbiasing job descriptions.
Open-source AI models like Llama are vital for fostering a broader developer ecosystem.