San Jose, California, United States
I am interested in real people. If you have a great podcast. I would like to volunteer as a participant. #podcast
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Prospective Clinical Psychology PhD applicant with a background in analytical, evaluation-driven work across complex technical systems and interdisciplinary environments. Experience includes structured screening and assessment, collaboration with diverse stakeholders, and exposure to clinical settings through memory care hospice volunteering. Interested in rigorous clinical training grounded in ethics, supervision, and evidence-based practice, with developing research interests in cognition, systems, and human behavior across contexts.
Conducted systematic sourcing and screening for machine learning and software engineering roles using structured search strategies. Evaluated candidate profiles against defined role requirements and technical criteria, and collaborated with engineering and recruiting teams to support evidence-based hiring decisions.
● Created a pipeline of 500 passive candidates. ● Supported ML/SWE core engineering roles. ● 3 candidates to offer in March.
Assessed senior-level technical roles involving machine learning, infrastructure, and data science, with a focus on structured evaluation across research, production, and applied contexts. Collaborated with cross-functional teams to support rigorous, criteria-based decision-making in complex systems.
● 8-10 hires per quarter ● Supported ML Infra, MLE, SWE ML, Applied Scientist, ML Product, ML Ops, BE MLE opportunities.
Supported research-related and interdisciplinary functions through structured evaluation and mapping of roles across research, cybersecurity, and applied organizational contexts. Contributed to systematic planning efforts spanning technical and commercial domains.
● Supported ML Research hiring in 2022. ● 7 hires in 2022. ● On a rotation program in 2023. Supported Residency, Research, Cybersecurity and GTM.