DrJones®, a system built using unique advanced artificial intelligence algorithms alongside natural language processing and machine learning to provide digital insurance. The AI analyses each customer’s unique life situation and recommends the optimal insurance coverage considering policy underlying terms, conditions and price. The AI uses NLP to match the legal terms and conditions within the policy options, along with holistic customer profiling to offer complete coverage for the lowest price. Machine learning, monitors customer choices and adoptions to provide a self learning feedback loop.

Video-on-Demand for the Africa market by Ericsson• Reported to the CEO the technology needs and map out the direction and technology budgets• Planned out technology roadmap for 2019 and 2020, based on identifying and streamlining existing services through the use of automation and resource allocation• Devised and rolled out plan for local Telco CDN (storage servers placed on-site of Telco) smart networks in Africa, involved coordinating with different African Telco points of contact and CTOs• Architected and built a low latency, high throughput system used by Telco’s for evenly distributing GSM data bandwidth using predictive machine learning, based on both historical and current network loads• Reduced cost in some areas (audit technology, middleware, and security systems) by 20%• Led and chaired the machine learning and automation initiative

I became a member of the Neurology team working under the Director of Stroke at UCLA Medical from my work with Machine Learning, Computer Vision and server technology design skills. Our team used advanced techniques to predict and detect many feature sets from medical images (MRIs and CT). During my tenure with the Neurovascular Imaging Research Core group I have designed, developed and managed the following platforms and applications:Perfusion (delivery of blood) - using an initial perfusion map of stroke patient on admittance to the hospital to predict day 6 tissue damage in the brain using convolutional neural networks. This prediction can help determine tissue plasminogen activator administration and clot removal risk of hemorrhaging. Stroke Cloud (strokecloud.neurology.ucla.edu) - is a web based portal that, via the client’s browser, allows the drag and drop of medical image files (DICOM) that are in-browser anonymized and transmitted along with medical meta data to UCLA medical servers for storage and indexing. These images, once in the platform, can have various advanced imaging processing techniques applied i.e. perfusion mapping for CT scans. The platform was successful in achieving all HIPAA and security compliance checks and reviews.Backup system - the system using Node.js runs on a Cray server and performs a nightly incremental backup of all the lab machines using rsync and ssh commands that are transaction logged into a MySQL database. A front-end to the system is provided using PHP and Apache for visual monitoring and report statuses.Site coordinator for a large stroke based medical study consisting of a cohort of 4900+ patients with 6.5 million medical images across 21 countries.

I designed and built OIGetIt as an autonomous platform providing real-time news aggregation and insights on media trustworthiness The system crawls the Internet for news and other unstructured data types. Machine Learning and Natural Language Processing are used to classify, tokenize and cross-link information into a custom graph database, all in real-time. On the backend, entity relationships both direct and indirect are ascertained discovering cause and effect dualities. Testing has shown the platform outperforms Google in dynamic real-time search. Sentiment analysis accuracy averages at 92%.

Research and analytics small team / think tank

Breakthrough device that can make virtual objects appear in real life funded by key investors with current total raise of $1.8 Billion. Initially contracted for low level coding and advanced Graphics Processing Unit (GPU) knowledge, which later included applications and platform services for Mixed Reality. Screened job candidates and driving the engineering effort to produce deliverables. Collaborated with vendors and next generation chips and hardware, building optimized core code in C, Assembly, and GPU command buffers reducing latencies on system pipelines. Examined Software Development Kit (SDK) and Application Programming Interface (API) ensuring system was safe for any potential incompatibility vulnerabilities in the future.

Brought in to bootstrap the technology. Responsible for building robo-adviser technology using analytical methods for computing optimal investment allocations by taking into account the investor's risk aversion, real estate holdings, zip code and labor income. Allowed and designed intricate connections between a large data base of internal and remote financial data and our algorithm for computing optimal allocations, coupled with the interactive interface that makes bespoke computations for each individual. The company was late to market in a competitive space, and for this reason failed to raise series A.

Founded Seed Studio West with the purpose of delivering cost and production efficient games and apps. Built out office infrastructure and standard operating protocols and procedures. I architected the pipelines, IT backend platform, and internal engine, handle day to day business operations, hired and vetted initial round of key personal, was responsible for Studio and Project budgets.Determine studio roadmap and constantly looking out for and exploring new opportunities. Designed and lead team to build customer service Web portal and server infrastructure.Key clients included Disney, THQ, Evergreen, and the British Broadcasting Corporation.Was the architect and manager of Tyrant, a cross platform engine for iOS, Android, PC, Xbox360 and PS3 for the purpose of reducing game development costs and risk whilst enabling easier team co-development.

Disney/Pixar Studios UP video game, Disney/Pixar Studios Wall E video game. Core tech optimizing and ensuring performance metrics are met and delivered on time. Work included both high and low-level code optimizations, network protocols, and advanced rendering techniques.

Engine Programmer (ICE Team). Naughty Dog is home to the ICE Team, one of Sony's World-Wide Studios central technology groups. The ICE Team focuses on creating core graphics technologies used by all PlayStation developers. • Co-Led ICE Team in creating developing PlayStation 3 (seventh generation of video game consoles and first to use Blu-Ray Disc as primary storage medium) tools including hardware design, graphics libraries, performance analysis tools, and developer support.- God of War (franchise)- Resistance: Fall of Man – “Platinum Sales Award” Entertainment & Leisure Software Publishers Association- Formula One 06 (F1) - 15th game of the Official Formula One video game series for Play Station 2/ PlayStation Portable- NBA '06: Featuring the Life Vol. 1 - Series of 6 basketball games developed and published by Sony Computer Entertainment

- Fight Club: fighting video game. Designed to capture gritty feel of the Fight Club movie made for PlayStation 2, Xbox and Mobile - 50 Cent Bulletproof: action video game for PlayStation 2, Xbox and Xbox 360 consoles, sold 2.8 million copies in the United StatesDesigned game engine suite visual developmental tools in additional to reusable for products.Engine features included 4 weights/vertex, multi-pass character render engine fast instanced detail render engine. Programed numerous systems component based architecture to allow specific systems in the engine to be replaced or extended for game middleware components. The engine processing power written in 90% assembly language with custom VUO & VUI micro-code routines. Integrated circuit design, power and timing configuring assembly code pipeline D/I cache, and DMA optimized