Joseph Fernandez
Adas Software Developer @JLR
Signup · Get unlimited contacts
WORK HISTORY
Adas Software Developer @JLR
Shannon, IE
Developed hybrid Deep Neural Network (CNN, RNN) from a published paper- Presented papers and code-demonstrations (within squad) on Trajectory Prediction, CNN, LSTM- Presented LSTMs to company-wide audience
EDUCATION
St. Xaviers Mirzapur
H.S.C., Physics, Maths, Biology, Chemistry
Cochin University of Science and Technology
B. Tech, Electronics and Communication
SKILLS
ABOUT JOSEPH FERNANDEZ
22 years Hands-on Software Development- Expert at Deep Reinforcement Learning (DQN), CNN, XGBoost, Random Forest, Kernel Density Estimator- Confident exponent of Architectural Patterns (Object Oriented Design and Functional Programming)- Comfortable with Mixture of Experts using Attention, LSTM, RNN, CNN-RNN Hybrid models- Walk-the-talk on various aspects of AI from Problem Definition to Data Wrangling, Feature Generation, Model Selection, Loss Function Design, Metrics, all the way to Uncertainty Quantification and Explainability- 10 years in Machine Learning driven Computer Vision for front-facing and surround-view automotive camera systems- Primary Inventor of 3 Deep Learning patents for Crash prevention, Scene classification and Automated parking- Primary Inventor of patent in Object Detection- Primary Developer of Vehicle Detection, Parking Line Detection, Lane Departure Warning, Automatic Headlamp Control Computer Vision algorithms- Architect and Lead Developer of Fleet Management Software, Object Oriented Media Player GUI, Multi-threaded device driver validation framework, Multi-Core and Multi-threaded Vision Processor Validation framework- LinkedIn Skill Assessment badges in Machine Learning, Python, C++ and C
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.