Fernando Rodrigues Junior Email & Phone Number

I am a recognized expert in Artificial Intelligence (AI) with a proven track record of identifying and applying cutting-edge next-generation technologies. I leverage my deep understanding of AI to:Drive Innovation: I translate complex business challenges into actionable AI solutions, fostering a culture of exploration and discovery.Solve Complex Problems: I take a holistic approach, identifying the most effective AI strategies to overcome significant challenges and propel our company forward.Set the Standard: I provide expert guidance and best practices on AI implementation, ensuring our organization remains at the forefront of the field.Lead with Vision: I may oversee functional teams or projects, fostering collaboration and driving successful AI initiatives.Are you passionate about AI's potential to transform industries? Connect with me to discuss the future of AI and how it can revolutionize various fields.

Responsible for playing a critical role in bringing into Mars next generation technologies such as blockchain, Artificial Intelligence, Machine Learning, data lakes, the Internet of Things, chatbots, process automation, generative design, Augmented Reality/Mixed Reality/Virtual Reality, and the like. Functions as a subject matter expert, bringing a depth of knowledge about these technologies and combining this with an understanding of Mars’ existing business needs, to find opportunities and problems that can only be solved by new-to-Mars (if not the world) applications of technology.

São Paulo Area, Brazil

Brazil

- Development of PoCs to solve complex problems in the area of Artificial Intelligence (NLP, Object Detection, Classification, Regressions, ...) using CNNs, LSTMs, GRUs, CTCLoss.(Tech: Tensorflow, Caffe, Pytorch, Scikit-learn,...)- Inference/Training pipeline optimizations for Intel CPUs (Core, Xeon Scalable Family) in real/production applications using High Performance Computing techniques (Multi-threaded Inferences, Memory Communication Overhead Reduction, NumaCtl, Intel MKLDNN, Intel OpenVino). - Algorithm profiling to detect performance bottlenecks (Intel Vtune).- Enabling deep-learning solutions for inference using low-power hardware(Tech: Tensorflow, Movidius)- Aiming to help Intel customers to extract max performance from Intel hardware, reducing costs and increasing efficiency.

São Paulo E Região, Brasil

- Implementation of a robust object recognition system for outdoor environment using supervised(CNN, RCNN) and unsupervised (Clustering, K-means, Regression) computer vision techniques. (Tech: Python, Caffe, TensorFlow, OpenCV, Scikit, Pandas)- Participation in the implementation of a Robot localization and mapping pipeline / sensor fusion (IMO, Odom, GPS) using Extended Kalman Filter for a mobile autonomous robot. (Tech: Python, C++, ROS)- Full-stack Python REST API’s implementation and multi-process communication based on microservices and AMQP protocol. (Tech: Python, Flask, MSSQL, RabbitMQ, Apache WSGI).- Development of a Database API integrating GoogleDriveAPI and MSSQL Azure Instance for NeuralNet dataset annotations. (Tech: Python, MSSQL, GoogleDriveAPI, PyQT)

Baltimore, Maryland E Região, Estados Unidos

- Software and algorithm development to process retrospective video collected of patients in an Intensive Care Unit (ICU) as part of a current research effort. - Duties included programming in C++, Python, data curation and analysis, working on Regional Convolutional Neural Network (Faster-RCNN) and statistical analysis.

São Bernardo Do Campo

Ball Interception in a robot soccer environment using a Kalman Filter- The project consists on using the Extended Kalman Filter to find the optimal state of an interception point between the ball and robot. - The implementation enabled the robot to catch balls in dynamic situations.

São Bernardo Do Campo/Sp - Brazil

- Latin American IEEE Robotics Competition (1st Place in SmallSize league by RoboFEI team)- Cbr2013 (Competição Brasileira de Robótica) (1st Place in SmallSize competition by RoboFEI team)- RoboCup 2013 - Netherlands (Eindhoven) (SmallSize competition by RoboFEI team)- RoboCup 2014 - João Pessoal (Brazil) (SmallSize competition by RoboFEI team)

Electrical Engineering, Machine Learning, Pattern Recognition, Artificial Intelligence And Computer Vision, 3.2

Bachelor Of Engineering (B.E.), Electrical Engenieering, Gpa 8.0/10.0

Activities and Societies: - Teacher Assistant of Analytical Geometry (2011) - Teacher Assistant of Physics I (2012) Full Scholarship (.