Generative AI Scientist for Scalable Aerospace & Health

Alan Perry

AI Scientist Specializing in Generative Models & Scalable AI Solutions for Aerospace &

Healthcare

Seattle, WA 98039 253-***-**** ****.*****.*****@*****.*** https://linkedin.com/in/alanperry1 Accomplished and innovative professional with extensive experience aligning AI-driven automation with business strategy. Adept at integrating computer vision with NLP for real-time decision-making in high-stakes applications. Skilled in transforming research insights into production-grade tools and deploying models across secure and cloud-based infrastructures. Experienced in big data analysis, scientific experimentation, and simulation modeling to drive operational excellence. Expert at collaborating cross-functionally with scientists, engineers, and business leaders to solve enterprise-level challenges. Consistently meets stringent deadlines while advancing automation initiatives across diverse domains. Recognized for delivering impactful, scalable AI-driven outcomes across automotive, healthcare, and aerospace sectors.

HIGHLIGHTS

● Generative AI Applications: Expertise in developing innovative generative AI systems for diverse applications.

● Autonomous Systems Integration: Skilled in integrating AI solutions with autonomous systems for enhanced functionality.

● Scalable Architecture Design: Proficient in designing architectures that support scalable AI deployments.

● End-to-End ML Deployment: Experienced in deploying machine learning models from research to production.

● Advanced Data Analytics: Strong background in leveraging data analytics for informed decision-making.

EXPERIENCE

HUGHES RESEARCH LABORATORIES, Los Angeles, CA

July 2019 – May 2025

Research Scientist – Generative AI

● 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.

UCSF RADIATION ONCOLOGY LAB, San Francisco, CA

Oct 2018 – June 2019

Computer Vision Engineer

● 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. EDUCATION

M.S in Data Science, University of San Francisco, 2019 PROJECTS

Clarity Menu

● Cloud based service which automatically digitizes menus and generates allergen recommendations for restaurateurs, which allows customers a centralized food search that is constrained with their unique set of dietary restrictions

PyPaiper

● Using AWS services, fine tuning a state of the art video generation model on public domain children’s stories and their related animations to provide reasonable animation for free on youtube.

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