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I am a highly accomplished AI scientist specializing in generative models and scalable AI solutions for aerospace and healthcare. I adeptly integrate computer vision with NLP for real-time decision making in high-stakes environments, and I have a track record of transforming research insights into production-grade tools. I collaborate across disciplines with scientists, engineers, and business leaders to solve enterprise challenges, delivering end-to-end ML deployments, robust data workflows, and measurable outcomes. I thrive under tight deadlines and drive automation initiatives across diverse domains.…I am a highly accomplished AI scientist specializing in generative models and scalable AI solutions for aerospace and healthcare. I adeptly integrate computer vision with NLP for real-time decision making in high-stakes environments, and I have a track record of transforming research insights into production-grade tools. I collaborate across disciplines with scientists, engineers, and business leaders to solve enterprise challenges, delivering end-to-end ML deployments, robust data workflows, and measurable outcomes. I thrive under tight deadlines and drive automation initiatives across diverse domains.

Alan Jacob Perry

Data Scientist, AI Engineer, AI Developer, +3

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I am a highly accomplished AI scientist specializing in generative models and scalable AI solutions for aerospace and healthcare. I adeptly integrate computer vision with NLP for real-time decision making in high-stakes environments, and I have a track record of transforming research insights into production-grade tools. I collaborate across disciplines with scientists, engineers, and business leaders to solve enterprise challenges, delivering end-to-end ML deployments, robust data workflows, and measurable outcomes. I thrive under tight deadlines and drive automation initiatives across diverse domains.…I am a highly accomplished AI scientist specializing in generative models and scalable AI solutions for aerospace and healthcare. I adeptly integrate computer vision with NLP for real-time decision making in high-stakes environments, and I have a track record of transforming research insights into production-grade tools. I collaborate across disciplines with scientists, engineers, and business leaders to solve enterprise challenges, delivering end-to-end ML deployments, robust data workflows, and measurable outcomes. I thrive under tight deadlines and drive automation initiatives across diverse domains.

Available to hire

I am a highly accomplished AI scientist specializing in generative models and scalable AI solutions for aerospace and healthcare. I adeptly integrate computer vision with NLP for real-time decision making in high-stakes environments, and I have a track record of transforming research insights into production-grade tools.

I collaborate across disciplines with scientists, engineers, and business leaders to solve enterprise challenges, delivering end-to-end ML deployments, robust data workflows, and measurable outcomes. I thrive under tight deadlines and drive automation initiatives across diverse domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Research Scientist – Generative AI at HUGHES RESEARCH LABORATORIES

July 1, 2019 - May 1, 2025

Led research and development of advanced AI systems, driving innovation across Generative AI fields. ● Delivered full-cycle execution of high-impact defense and aerospace projects, from concept through deployment. ● Managed secure data workflows, collaborated with cross-functional teams, and contributed to knowledge dissemination through technical publications. ● Oversaw contract performance, ensured timely delivery, and maintained alignment with evolving client requirements. ● Drove crossfunctional collaboration to deliver a traffic sign interpretation system which improved the accuracy of sign attribute extraction ● Developed a Retrieval-Augmented Generation (RAG) pipeline, reducing data retrieval time by 50%, significantly enhancing decision-making speed. ● Implemented a Reinforcement Learning based algorithm with real-time adaptive capabilities, increasing the model's success rate by 40% in real world tests. ● Secured and fulfilled $1.25M in annual defense contracts through consistent delivery of technically rigorous solutions.

Computer Vision Engineer at UCSF RADIATION ONCOLOGY LAB

October 1, 2018 - June 1, 2019

Contributed to healthcare-focused research by applying deep learning methodologies to medical imaging and treatment planning. ● Collaborated with oncologists and researchers to design, test, and deploy AI models for clinical application. ● Focused on increasing diagnostic accuracy and efficiency in radiation therapy workflows. ● Enhanced radiological assessment precision by developing segmentation algorithms that used attention, increasing the intersection over the union by 3% above the published application specific benchmarks. ● Improved photorealism in image translation from one medical image domain to another, better informing doctors in time sensitive diagnoses like internal bleeding.