Available to hire
Hi, I’m Jose Rojas, an experienced AI researcher, software engineer, and patent inventor specializing in autonomous systems, machine learning, and full-stack development. I have a passion for building and deploying AI models and agent workflows, and I enjoy delivering end-to-end solutions from prototyping to production.
With experience spanning IoT, robotics, and autonomous systems, I have worked on cutting-edge projects involving deep learning, reinforcement learning, and cloud-native architectures. I thrive in fast-paced environments and am always eager to collaborate on innovative technologies that push the boundaries of AI and software engineering.
Skills
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Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Software Solutions Engineer at Redline Softworks
January 1, 2009 - PresentDelivered solutions for 15+ clients in IoT, robotics and autonomous systems, from prototyping to production. Led projects including neural network sparsity research, optimized low-speed vehicle tele-operation, and integrated real-time data visualization dashboards.
Teaching Assistant at University of Texas - Austin
January 1, 2024 - PresentAssisted in teaching and supporting courses related to computer science, autonomy, and machine learning.
Deep Learning Researcher at VITA Research Group, University of Texas
December 31, 2024 - July 31, 2025Spearheaded neural network sparsity research to optimize LLM and vision models using Mixture of Experts architectures. Conducted extensive literature review, research experiments, and authored a detailed research thesis.
Senior Integration Engineer at Urbo (Contract)
December 31, 2021 - July 31, 2025Developed calibration tools for solid-state LiDAR systems, improving emitter/receiver alignment and light intensity errors by 60%. Automated LiDAR unit configuration and device integrity verification.
Software Engineer at Sense Photonics (Contract)
December 31, 2020 - July 31, 2025Developed scalable cloud services for solar battery telemetry using AWS, Python, and Flask, improving data processing by 75%. Designed web dashboards for customer data log search and visualization.
Full-Stack Engineer at Caban Systems, Inc. (Contract)
December 31, 2019 - July 31, 2025Created Bluetooth-enabled FDA-approved wearable defibrillator cloud infrastructure and iOS app for real-time ECG data processing for over 1,000 patients.
Full-Stack/Mobile Developer at Element Science, Inc. (Contract)
December 31, 2019 - July 31, 2025Shipped iOS/Android apps for programmable toy robots with over 100K units sold, collaborating on firmware and scripting for custom behaviors and real-time control via BTLE.
Application Engineer at Dash Robotics (Contract)
December 31, 2018 - July 31, 2025Led iOS development for wearable glucose sensors using BTLE, implemented data APIs, custom graphs, and alerts, contributing to securing $6M seed funding and acquisition.
Application Engineer at Sano Intelligence, Inc. (Contract)
December 31, 2017 - July 31, 2025Built a vision-assistant mobile app for visually impaired users, integrating real-time computer vision and audio navigation. Shipped features supporting UX testing rounds.
Application Developer at Toyota - Robotics Division (Contract)
December 31, 2016 - July 31, 2025Led a team developing deep reinforcement learning networks for a virtual hockey game and applied CV research to semantic segmentation for autonomous driving simulation, boosting performance with CUDA acceleration.
Software Solutions Engineer at Redline Softworks
January 1, 2009 - PresentDelivered solutions for 15+ clients in IoT, robotics and autonomous systems, from prototyping to production. Led projects such as Document Processing Agents deploying LLM-based workflows and VizViewer for visualizing multi-sensor AV datasets integrated with leading data pipelines. Developed scalable tele-operated vehicle systems with latency reductions and fail-safe mechanisms. Applied neural network sparsity research optimizing LLM and vision models. Published research and managed extensive GPU training workloads.
Teaching Assistant at University of Texas - Austin
January 1, 2024 - PresentProvided teaching assistance in Computer Science courses at the University of Texas, supporting students and contributing to academic programs.
Deep Learning Researcher at VITA Research Group, University of Texas
December 31, 2024 - July 31, 2025Spearheaded neural network sparsity studies optimizing LLM and vision models with Mixture of Experts architectures. Authored detailed research thesis after analyzing over 10 scientific papers. Executed hundreds of training experiments efficiently using multi-GPU nodes and scheduling optimizations.
Senior Integration Engineer at Urbo (Contract)
December 31, 2021 - July 31, 2025Developed calibration tools for solid-state LiDAR systems employing computer vision and Python for improved accuracy. Engineered scalable cloud services and dashboards handling solar battery telemetry data leveraging AWS, Flask, and VueJS. Improved data processing efficiency significantly.
Software Engineer at Sense Photonics (Contract)
December 31, 2020 - July 31, 2025Worked on advanced LiDAR technologies and sensor calibration procedures enhancing device performance and reducing errors.
Full-Stack Engineer at Caban Systems, Inc. (Contract)
December 31, 2019 - July 31, 2025Created cloud infrastructure and web dashboards for Bluetooth-enabled wearable health devices, facilitating real-time data processing and monitoring for over 1,000 patients.
Full-Stack/Mobile Developer at Element Science, Inc. (Contract)
December 31, 2019 - July 31, 2025Led iOS app development for wearable glucose sensors integrating BTLE APIs, custom graphs, and alerts. Contributed to demonstrations leading to major funding and acquisition. Shipped apps with custom scripting and real-time controls for toy robots.
Application Engineer at Dash Robotics (Contract)
December 31, 2018 - July 31, 2025Developed vision-assisted mobile apps for visually impaired users blending real-time computer vision and audio navigation. Shipped features after multiple UX testing rounds.
Application Engineer at Sano Intelligence, Inc. (Contract)
December 31, 2017 - July 31, 2025Led deep reinforcement learning network development for virtual hockey simulation. Applied computer vision research for autonomous driving semantic segmentation with GPU acceleration achieving significant performance boosts.
Application Developer at Toyota - Robotics Division (Contract)
December 31, 2016 - July 31, 2025Led a team developing multi-sensor deep learning localization algorithms, ranked top 10% worldwide in a global competition.
Education
MS Computer Science at University of Texas - Austin
January 1, 2021 - December 31, 2024MS Computer Science at University of Texas - Austin
January 1, 2021 - December 31, 2024Qualifications
Industry Experience
Software & Internet, Transportation & Logistics, Healthcare, Energy & Utilities, Gaming
Skills
See more
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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