Jacob Staley Email & Phone Number

Abu Dhabi, United Arab Emirates

United Arab Emirates

Led cross-functional team UX/UI, ML engineers, data scientists, front-end and back-end developers, managers, and product owners to deliver internal and external facing products using generative AI and retrieval-augmented-generation (RAG).• LLMs + RAG/Graph-RAG to distill large amounts of multi-modal data to serve our internal and external users• Lead exploratory product R&D investigating novel approaches in generative AI, image analysis, knowledge graphs, and vector databases to solve user challenges with highly complex, large-scale, multi-modal datasets.• Work directly with CEO, President of AI & RD, President of BD, and Technology Director to define strategic roadmaps for our product and data strategies that align our platforms to wider company goals and objectives.• Defined and implemented our continuous product discovery process, roadmap, OKRs, and agile framework.

Singapore

Safe, on-brand, localized content for underserved markets using generative AI• Led a highly technical cross-functional team to develop and launch B2B SaaS product leveraging large language and diffusion models to serve our customers.• Implemented robust, large-scale distributed training pipelines and on-the-fly dataset aggregation for model fine-tuning using dense search and terabytes of data.• Managed full product lifecycle from conceptualization to production utilizing agile methodologies, OKRs, and a Now-Next-Later roadmap.• Responsible for prioritizing features, technical validation, and full product lifecycle.

Singapore

AI-first company focused on fundamentally changing the way creative content is generated at scale using generative AI

Singapore

Conceived of new approach to native advertising using generative AI and computer vision• Implemented state-of-the-art GANs and semantic segmentation models using PyTorch.• Designed distributed training pipelines and infrastructure leveraging AWS and GCP.• Performed rapid product iteration and market validation resulting in paid pilots in two continents.

Montreal, Quebec, Canada

Responsible for creating technology driven narratives around identified industry challenges, performing due diligence for technology validation, and quantifying addressable markets for disruption using patent-protected technology.· Performed technical due diligence and market validation for deep technology startups.· Worked with in house team to negotiate licensing agreements and technology transfer.· Developed technology roadmaps and quantified addressable markets.· Interface between director and scout team to discover novel and feasible hardware approaches for inference efficient machine/deep learning (e.g. optical computation)

Led engineering team to design mobile apps and wearables leveraging on-device deep learning for activity tracking.• Architected custom neural network models optimized for edge devices.• Conducted extensive market research and user testing to guide product development.• Defined technology roadmap, workflows, and best practices for agile development.• Architected custom deep learning models optimized for mobile health applications.• Established infrastructure for global data collection and ML model training pipeline.

Gent Area, Belgium

Led cutting-edge research applying machine learning to medical devices, virtual reality (VR) therapy, and wearable sensor analytics.• Developed custom neural network architectures for biometric data modeling and analysis.• Created prototypes leveraging generative models and sensor fusion for creative applications.• Provided expert guidance on deep learning to interdisciplinary teams of scientists and engineers.• Contributed to published research on using VR and wearables for anxiety disorder treatment.

Lausanne Area, Switzerland

Conceived next generation of marketing engine to intelligently balance advertising channels for client campaigns using machine learning• Managed agile workflows including backlogs, sprints, and acceptance criteria.• Interfaced between marketing and engineering for AI marketing optimization engine.• Implemented monitoring and analytics using Python and SQL.

Lausanne Area, Switzerland

Engineered Platform for Diagnosing and Treating Deafness using computationally controlled light• Managed international interdisciplinary team of scientists and engineers from Harvard Medical School and EPFL• Led technology roadmapping, budgeting, IP protection for optical imaging medical prototype.• Secured provisional patent and accepted to entrepreneurial Swissnex program for global commercialization of technology.• Conceived and designed two novel approaches to high resolution, small form factor confocal and two-photon imaging devices using holography and digital wavefront shaping

Enschede Area, Netherlands

Experimental and theoretical work in ultrasound, photoacoustic imaging, acousto-optics, and wavefront shaping for non-invasive quantitative imaging techniques.• Designed and implemented large scale Monte Carlo and ultrasound simulation for fundamental research to tagging mechanisms of "sound-light" interactions.• Developed a technique for overcoming acoustic aberrations of ultrasound fields in biological tissue.• Co-designed imaging device capable of quantitative photoacoustics, ultrasound, speed-of-sound, and ultrasound modulated optical imaging.• Created novel approaches for the fusion of ultrasound and quantitative photoacoustic imaging.• Hybrid ultrasound/photoacoustic clinical ultrasound system.• Created multi-national consortium of research universities and commercial partners for the HIGHLIGHT project - a new approach to high-speed digital wavefront shaping.

• Created custom bootloader for the NOVPEK SoC using RedBoot, U-Boot and Linux drivers to interface with the i.MX31, i.MX51 and i.MX53 Freescale processors.• Integrated boot options between Linux, Android and QNX through a touch-driven interface written in C.• Instantiated a company wide source code repository using Subversion and Git.

• 1st in the world to demonstrate the ability to track the evolution of melanoma brain tumors in a live mouse model using PAM.• Designed, implemented and maintained a LabVIEW based control system responsible for integrating a class IV Nd:YAG laser, acoustic and data acquisition hardware, and a 3-D positioning stage.• Designed, developed, and maintained 2-D and 3-D imaging software using Matlab.• Designed and developed a C++ Monte Carlo simulation of light propagation in biological tissue.

Ph.D., Photonics

M.S., Biomedical Engineering - Product Development

Activities and Societies: BMES IEEE ACM

B.S., Computer Engineering

Activities and Societies: IEEE ACMUndergraduate research in embedded systems and OS design and analysis.