My name is John Pineros.
I’m a software engineer focused on robotics and autonomous systems! I completed my Master’s degree from the University of Toronto and have been a part of the robotics/controls/mechatronics industry since 2016.
Feel free to check out my blog where I highlight in more detail some of the cool projects I’ve worked on!
Career Summary
Key Skills & Technologies
- Programming & Software Development: MATLAB, Simulink, Python, C++
- Robotics & Automation: ROS 1, ROS 2, Simulink, Denso Robotic Manipulators, Motion Control, Trajectory Planning
- Mechanical Design & Validation: CAD, 3D modelling, Assembly Optimization
- Documentation & Training: Technical Writing, Software Version Control (Git), User Training
- Systems Integration: Autonomous Solutions, Control Algorithms (PID), Real-time Systems
- User Support & Commissioning: End-User Training, System Integration, Technical Support
- AI & Computer Vision: DetectNet, OpenCV, Scikit-Learn, Pandas
Quanser Consulting Inc
Sr. Academic Applications (2022-Present)
- Lead teams to enhance academic software, boosting educational outcomes with innovative solutions.
- Lead architect for Quanser’s ROS based solutions. Emphasis in clean and efficient application design using C++ and Python.
- Lead architect for autonomous warehouse project. Contributed to software architecture paradigm which enabled autonomous operation of over 30 IoT agents all performing real-time tasks.
- Academic research lead, focused on advancing company research applications based on merging industry trends with academic research.
- Co-managed university interns as part of Canadian Government MITAC collaboration. Defined goal criteria which led to release of URDF definition for mobile robotics and aerial robotics systems
Mechanical Engineer (2016-2022)
- Optimized mechanical assemblies to streamline the transition from prototypes to production-ready designs, improving manufacturability and scalability.
- Developed, maintained, and updated software for the AVRS solution using MATLAB/Simulink, focusing on automation, control algorithms, and real-time system performance.
- Programmed and tested the Denso robotic manipulator, developing custom motion control algorithms to demonstrate precise and repeatable automation tasks.
Gigflow Labs
Data Scientist (2022-2022)
- Configured and deployed a top-N recommender system in Python, optimizing for personalized recommendations based on user behavior and preferences.
- Utilized FAST API to build a high-performance, RESTful API for seamless integration with client applications.
Deployed the recommender system on Heroku, enabling easy access and scalability for real-time recommendation requests. - Ensured robust deployment by implementing API endpoints, conducting testing, and ensuring high availability and minimal latency for end-users.
Junior Data Scientist (2021-2022)
- Implemented a feature engineering process that involved text pre-processing, tokenization, and vectorization using techniques like TF-IDF and Word2Vec, which enhanced the model’s ability to capture sentiment nuances.
- Created a custom sentiment analysis model with an accuracy rate of 75%, comparing its performance to VADER as the baseline, demonstrating significant improvements in sentiment classification.
- Exposed the sentiment analysis model as an API endpoint using FAST API and deployed it on Heroku, allowing for seamless integration with client applications.
- Implemented real-time sentiment score predictions, enabling users to send text data via HTTP requests and receive sentiment analysis results efficiently.
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