Jacob Lo, a passionate and dedicated Software Engineer specializing in Deep Learning, and AI-driven innovations. With 10 years of experience as a software developer and a constant thirst for challenging the unknown, Jacob strives to bridge the gap between theoretical AI models and practical, impactful solutions.What I bring to the table:Expertise in AI: Skilled in designing and implementing deep neural networks, large language models such as Meta's LLaMA and fairscale framework, HuggingFace's transformer API.Technical Proficiency: Proficient in Python and popular ML frameworks like PyTorch, and scikit-learn, as well as data manipulation with pandas and NumPy.Data Science Acumen: Adept at extracting actionable insights from vast datasets using advanced statistics, data wrangling, and visualization tools.Data Collection Expert: Experiences at coming up with solutions to data collecting, web scraping large amounts of data. Examples include trillions of stock transactions, social media scrapers.Software Development: Strong background in software development practices including version control with Git, containerization with Docker, and continuous integration/continuous deployment (CI/CD) pipelines like Jenkins.Projects and Impact: I've had the opportunity to work on diverse projects ranging from predictive stock trading analytics systems, large text summarization, to large machinery vibration noise canceling algorithms. These experiences have honed my ability to not only develop but also deploy AI solutions that have a tangible impact.Looking Forward: I'm keen to contribute to a forward-thinking team where we can help create groundbreaking AI-based products and services.Email: jacob@jacoblo.netWebsite: jacoblo.netGitHub: github.com/jacobklo
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Founder And CeoBook Summary AiSan Francisco, Ca, Us -
Founder & CeoBook Summary Ai Nov 2022 - PresentSan Francisco Bay AreaFine-tuned large language models ( LLMs ) for efficient processing of long textbooks input exceeding 300,000 tokens, enhancing output accuracy by 24%Optimized GPU memory usage by converting LLMs ( 7 billion parameters ) to model layer offloading using DeepSpeed, achieving a substantial 60% reduction in GPU memory usageDeveloped vector storage solutions using LangChain to manage and retrieve similar queries, resulting in 40% faster prompt handling -
FounderStealth Startup Jan 2022 - Nov 2022San Francisco Bay AreaDeveloped data scraper, collected over 1 trillion transactions data for Fortune 500 company stocks across NASDAQ and New York Stock ExchangeDeveloped machine learning pricing models and other algorithms including Monte Carlo simulation specifically tailored for algorithmic day trading, resulting in a portfolio with a 12% annual returnDeveloped a new web-based dashboard application to visualize profit/loss metrics daily per stock using Plot.ly and Dash, enabling real-time updates and interactive data insights for enhanced trade monitoring -
Software Control EngineerTrimble Inc. Jun 2018 - Dec 2021United StatesOptimized IMU sensors’ location on 2 new construction vehicles using MATLAB, adding it to 300+ official support vehicles for Trimble Grade Control softwareFine-tuned the vibration noise algorithm for heavy dozers ( 230,000 lbs+ ), achieving a 36% boost in Grade Control accuracyImproved proprietary Kalman filter frameworks for robotic arm control within the Trimble Grade Control software, and solidified its industry-leading position in productivity and accuracy -
Embedded Software EngineerCaterpillar Inc. Feb 2015 - Jun 2018United StatesWorked with teams in West Australia, India, and North Canada, the billion-dollars mine sites that used Caterpillar® MineStar™ SolutionsDeveloped a new algorithm for calculating large machine stopping mechanisms, for existing high-precision machine guidance, achieving a 25% improvement in operational accuracy for dozers and graders, which is crucial in improving productivity and facilitating efficient mining operationsImplemented real-time cloud-based monitoring system for machine statistics, data capture and analytics across all mining machines on the mine site with cloud-based solutionWorked on different payload (mining material) prediction deep learning modelsWorked on creating interactive dashboards featuring reports, charts, and maps that enabled machine operators to simplify decision making, boost productivity by 15%, identify and mitigate bottlenecksWorked on machine proximity awareness, a detection and communication technology to alert personnel and equipment of possible collisionsWorked on remote control, semi-autonomous, or fully autonomous (Level 3 automation) operation of mining equipment across mine site -
Software EngineerBadger Meter May 2014 - Jan 2015Milwaukee, WiDeployed a continuous integration/continuous deployment (CI/CD) pipeline utilizing Microsoft Azure DevOps Server, streamlining the build process and significantly reducing manual deployment overhead for both development and QA teams.Our team researched into and deployed CDMA & Radio technologies on the water meters with long battery life ( ~20 years ) and with wireless feature, which eliminate the need of manual technician door-to-door usage reading.
Jacob K. L. Education Details
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Computer Science -
Bachelor Of Computer Science
Frequently Asked Questions about Jacob K. L.
What company does Jacob K. L. work for?
Jacob K. L. works for Book Summary Ai
What is Jacob K. L.'s role at the current company?
Jacob K. L.'s current role is Founder and CEO.
What schools did Jacob K. L. attend?
Jacob K. L. attended Fast.ai, University Of Wisconsin-Milwaukee, Skagit Valley College.
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