Ryan Ries Email & Phone Number

Los Angeles, California, Us

Leading expert in Data, Analytics, Machine Learning, MLOps and Generative AI strategy for customers and internal Mission Cloud Customers. Have an award winning team that helps build out the tools for companies.

Los Angeles, California, Us

Building out a successful team of Data Engineers, Data Architects, ML Engineers and Data Scientists to solve some of the hardest problems in the world utilizing AWS infrastructure.See our blog posts and webinars for all the great work that the team is building out. - Awarded Data and Analytics Competency from AWS- Successfully achieved the AWS Redshift SDP proving the teams knowledge of Redshift.- Completed successful machine learning projects in predictive analytics, NLP and computer vision for customers helping them evolve their business.- Productionalized customers models before a critical launch date.

Irvine, Ca, Us

Leading a team of exceptionally gifted data scientists and big data engineers. Helping customers transform their current solutions into AWS.

Irvine, Ca, Us

I am built a team of data scientists and data engineers that build out value add products to the Onica team to enhance customer experiences and help them derive more from their data and cloud products using AI/ML, big data and visualizing using AR/VR.

Los Angeles, Ca, Us

Hands on technical lead for all of Daqri’s hardware products including the Smart Helmet, Smart Glasses, Qube, Melon EEG, and multiple pre-production/in-development products. Managing a large global team, almost 70 engineers, consisting of mechanical, electrical, optical, firmware, manufacturing engineers, and OS developers to create world class products that are changing the way people work.• Guided the engineering team in designing 3rd Generation DAQRI Smart Glasses with an improved sensor suite and optimized compute pack.• Managed team for new product integration with Flextronics in Cork for mass production of DAQRI Smart Glasses that launched September 2017.• Worked closely with Chinese vendors to ensure supply chain and quality control.• Developed a new input device in 10 weeks that launched at Hannover Messe in April 2017.• Worked on Industrial Design, hardware block diagram, manage timelines and vendors.• Launched DAQRI Smart Glasses at CES 2017 in the Intel booth.• Led a team of engineers over 9 months to modify the Smart Helmet design into a pair of tethered glasses.• Worked with vendors to modify design for lower power (different FPGA, USB-c, ..).• Managed supply chain to successfully build glasses for CES.• Currently adjusting design during DFM/DFA cycle to start shipping in July.

Dr. Ries founded The DataPhile Group to help growing business's increase their profitability by engineering personalized data analytics to solve complex problems involving recommendation engines, video game analytics, scoring metrics, advertising analytics, retention rates, and to help companies with data visualizations to improve storytelling.• Developing the data analytics platform for a mobile app that connects your social media presence to serve content that you would be interested in and attempt to eliminate unwanted advertising. Think of that bar at the bottom of articles you might have read in CNN or ESPN and now instead of ads for diets, celebrities and things that are of no interest there is actual content that you want to explore further. The data analytics platform seamlessly connects analytics modules in Python and R, replacing Tableau, to interact with an HBASE data warehouse that interfaces with SOLR and feeds a recommendation engine serving the content to the users.• Developing a SHINY interface to an HBASE data warehouse that will allow real-time updating of key data indicators• Working with a multitude of small startups creating data analytics products which have enhanced VC pitches and led to seedling funding• Developed a k-means clustering algorithm for an online streaming video game company that improved the relevant content the recommendations served to players. This algorithm was delivered to the company and they are incorporating it into their experimental branch for testing • Validated the theory and algorithm implementation for an optical gun detection algorithm using a unique filtering technique that runs in near real time. Developed the testing methodology and conducted experiments allowing for real-world testing

Thousand Oaks, Ca, Us

Leading teams of engineers and scientists to develop next generation imaging systems to help redefine infrared imaging in the 21st century. Manage technical aspects, risk profile, compliance/verification matrix, and trade studies for space flight and ground based IR imaging systems that consist of focal plane detectors, cables, packaging, electronics and test. Actively involved in developing proposals for custom imaging systems and delivering high performance detector arrays on time and within budget.• Technical lead developing the next generation compact camera electronics based around a Zynq FPGA capable of controlling a host of next generation digital detectors. An important aspect of the project is to miniaturize the electronics while still designing the system for manufacturability• Technical lead developing a high speed ROIC for incorporation into FTIR Microscopes. Conducted trade studies to develop specifications/requirements for the ROIC that push current technology boundaries• Conducting trade studies into 3D Wafer stacking to develop a technology roadmap for future Vis/IR imaging modalities• Managing several hyperspectral programs to grow, process, test and deliver CHROMA imaging systems to Teledyne customers• Managed and delivered H2RG space based imaging systems to customer on extremely tight deadline. Overcame a variety of impediments by actively managing the program using AGILE methodologies.

Northridge, Ca, Us

At Arete, Dr. Ries has worked on advanced image processing algorithms (registration, mapping, data analytics, target detection and tracking), developed optical sensor performance models taking into account atmospheric effects on sensor performance, created data simulators to validate sensor models and verify system performance, developed advanced imaging concepts using computational imaging techniques. Dr. Ries was the project lead for a variety of different projects developing the research plan, staffing, goals, risk mitigation and ensuring that the results are delivered on time and clearly to our customers. These projects are focused on advanced imaging concepts enhancing current state of the art imaging detectors. Dr. Ries has been developing advanced computational imaging techniques that push the boundary of current technology to enhance sensor systems in degraded visual environments. Highlights:• Developed a passive millimeter wave imaging program that has received over $2 Million in government funding with long term promise. Pioneering advanced sparse array sensor design for quasi-optical imaging modalities using computational imaging techniques. Lead a team that developed software to simulate the sensor system and generate simulated data; • Reinvigorated a multi-million dollar high profile, underperforming C++ based optical imaging detection project by streamlining staff, adding specialized talent, developed and implemented project tasks and schedules to achieve program success. Company was able to deliver important detection code and analysis results to the customer; • Proposed, received and managed a contract from the Department of Homeland Security to develop an optical imaging system to detect swimmers in the water that have been lost at sea;• Developed and validated advanced optical sensor models in IDL; • As HR tech lead, responsible for a group of hiring managers to evaluate potential candidates to fill the company’s needs.

Northridge, Ca, Us

As a staff scientist at Arete, I developed graphical user interfaces (GUI) for rapid analysis of large data sets to verify that our experimental systems were working properly. I developed image analysis tools to estimate system performance. I worked on a variety of IR&D projects developing image processing tools and techniques for UAV's and UUV's.• Analyzed a large set of earthquake data to create a predictive model for magnetic earthquake detection from space. • Developed and validated advanced optical sensor models in IDL; • Developed graphical user interefaces (GUI) for data analysis and validation of large data sets in IDL;

Pasadena, Ca, Us

At Caltech, I helped develop a proof of concept nanowire biosensor that will lead to advanced medical diagnostics using smaller sample volumes and lower concentrations to detect antigens of interest, such as PSA. This prototype has helped the Heath group gain additional funding for cancer diagnostics (using the foundation that I helped develop).• Developed a novel modality for sensing biological molecules using nanowire biosensors on silicon;• Prepared different types of thin film hydrocarbon samples utilizing two different techniques to chemically attach organic molecules to a silicon (111, 100, and SIMOX) surface;• Analyzed the quality of the prepared samples using an Omicron low temperature STM and a Digital Instruments AFM/STM;• Performed real-time confocal microscopy of lipid rafts and their involvement with different types of receptors in the phagocytosis process.

Los Angeles, Ca, Us

Collaborated with a small team of scientist to design, build and test a second harmonic, two photon fluorescent microscope utilizing a femtosecond laser. Prior to that work, synthesized superconducting lead quantum dots and investigated their properties to determine their capacity to be used as QUBITS.• Conducted second harmomic generation/two photon fluorescence microscopy on a large variety of samples ranging from polymer wrapped nanotubes to lipid bilayers;• Calibrated, maintained, and operated a Spectra Physics Tsunami laser system;• Fabricated the sample holders using a microfab clean room facility. Capable of running a variety of silicon processing machines such as an E-Beam writer, SEM, E-Beam evaporator, RIE, DRIE, and various other processing equipment;• Used LabView, Igor, MatLab, and Origin as data analysis tools for the different samples;• Investigated the superconducting properties of lead nanoparticles using a SQUID magnetometer;• Conducted and optimized the synthesis of the lead nanoparticles.

Special Student (Finished My Ph.D. At Caltech), Biophysical Chemistry

Doctor Of Philosophy (Ph.D.), Biophysical Chemistry

B.A., Physics And Chemistry