Shawn Manuel Email and Phone Number
los altos, california, united states
Shawn Manuel's Location
Stanford, California, United States, United States
Shawn Manuel's Contact Details
Shawn Manuel work email
- Valid
- Valid
- Valid
Shawn Manuel personal email
n/a
Shawn Manuel phone numbers
About Shawn Manuel
I am a recent CS (AI) Masters graduate from Stanford University. I am seeking opportunities in teaching and research in computer science, particularly in Machine Learning and Artificial Intelligence.Currently I am an online educational content creator for my YouTube channel "TheComputerScientist" which aims to teach anyone interested in computer science how to start and develop their own practical projects. If you would like to know more about my work and what I have to offer, please feel free to contact me.
Shawn Manuel's Current Company Details
Toyota Research Institute
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Machine Learning and AI Specialist
los altos, california, united states
- Website:
- tri.global
- Employees:
- 380
Shawn Manuel Work Experience Details
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Machine Learning EngineerToyota Research Institute Jun 2021 - PresentMountain View, California, United States▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬As a Machine Learning Engineer in the Extreme Vehicle Dynamics Control team, I collaborate within a team of three to explore state-of-the-art Deep Reinforcement Learning (DRL) algorithms for driver modeling and achieving super-human car racing performance in extreme vehicle dynamics simulators. Key Achievements:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Custom built a distributed RL training pipeline to train state-of-the-art RL algorithms SAC, PPO and DDPG on OpenAI Gym style environments.• Demonstrated the potential of Reinforcement Learning algorithms for achieving elite driver performance after 10 days of training in simulation.Key Skills Demonstrated:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• In-depth understanding of vehicle dynamics properties for vehicle simulator tuning.• Reading research papers on the state-of-the-art control algorithms and implementing them in Python.• Reward function design and tuning for achieving desired driving behaviour.• Effective use of cloud computing platforms such as AWS EC2 for large-scale RL training.• Agile software development tools such as Jira and Git for efficient team collaboration.• Navigating and developing new algorithms in RLlib and other production level codebases.
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Research AssistantStanford University Jun 2020 - Jun 2021Stanford, California, United States▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬As a research assistant in the Stanford Intelligent Systems Lab, I lead the development and implementation of various Model Predictive Control (MPC) and Reinforcement Learning (RL) algorithms for car racing and reference trajectory tracking in simulation. Key Achievements:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Developed a publicly available python codebase showcasing the effectiveness of the Model Predictive Path Integral (MPPI) algorithm for reference trajectory tracking on an open source car dynamics simulator. • Available at https://github.com/sisl/MPPITutorialKey Skills Demonstrated:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• In-depth understanding of vehicle dynamics for implementing a low latency bicycle dynamics model as a state transition function in Julia.• Reading research papers on the state-of-the-art control algorithms and implementing them in Python• GPU acceleration using Pytorch for training and running control algorithms efficiently• Designing deep learning architectures for approximating a vehicle dynamics transition function -
Data Science Research InternVectra Ai Jul 2020 - Sep 2020San Jose, California, United States▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬As a research intern, I investigated various deep learning approaches for detecting anomalous activity representing potential cyber security breaches in an private computer network. I developed prototype deep learning models using Deep Graph Library and Pytorch and trained them at scale using Apache spark in Databricks.Key Skills Demonstrated:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Development of a deep learning training pipeline for training graph neural networks in python using Deep Graph Library and Pytorch• Preprocessing and labeling of recorded network activity data for supervised learning• Planning and executing large scale deep learning training experiments on Databricks• Analyzing results and presenting findings and recommendations for best performing neural network architectures -
Faculty Of Engineering Student AmbassadorUnsw Australia Mar 2015 - Nov 2018Kensington, Sydney▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Actively worked with a team of 30 student ambassadors to promote Engineering at UNSW to high school students at career markets, high school information day and University open days. I also gave presentations of the different engineering degrees at UNSW and engage students in interactive workshops about actual engineering concepts. I also work collaboratively with my fellow student ambassadors to facilitate the smooth running of University information evenings including greeting students and parents, processing registrations and guiding students to their respective workshop locations.Key Achievements:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Published a blog article on the UNSW Engineering website sharing my experience of obtaining an internship (Link: https://www.engineering.unsw.edu.au/news/need-to-find-an-internship-don%E2%80%99t-freak-out%E2%80%A6).Key Skills Demonstrated:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Strong public speaking skills in presenting to audiences of 30+ high school students about UNSW Engineering degree pathways.• Effective communication and active listening skills to answer students' and parents' questions about pathways through engineering and degree information.• Helped students understand the nine different engineering degrees and admission pathways to UNSW.• Collaborated with other ambassadors to coordinate and mentor students at interactive activities and engineering workshops. -
Tutor For Computer Networks (Comp3331)Unsw Feb 2018 - Jul 2018Sydney, Australia▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬As a tutor for computer networks, I facilitate a computer lab class of 36 students and help students understand theoretical concepts of computer networking for TCP and UDP applications. I also run workshops to teach socket programming in C and Java to students as well as marking their lab and programming assignments.Key Skills Demonstrated:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Strong understanding of network programming in C and Java for both TCP and UDP.• Familiarity with fundamental concepts of computer networks at each of the application, transport, network, link, physical layers.• Effective communication and listening skills to explain concepts to students and gauge their understanding of the subject.
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Software Developer InternOptiver Asia Pacific Jan 2018 - Feb 2018Sydney, Australia▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬At Optiver, I worked with the "Market Risk" team to develop software that calculates and reports Optiver's risk within various markets. I took ownership of a 6 week greenfield project to design a proxy server application to be deployed in one of Optiver's international offices to connect to an existing server in Sydney and handle overseas client requests for data from the Sydney server.Key Skills Demonstrated:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Object orientated software design in a C++ event driven application.• Strong understanding of algorithms, data structures and network programming.• Extensive unit testing using behaviour driven development frameworks such as GOOGLE MOCKS.• Collaborative and Agile software development within a team of 4 involving daily stand-up meetings, issue tracking and sprint planning. -
Software DeveloperWisetech Global Nov 2016 - Jul 2017Sydney, Australia▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Actively worked with other developers and product specialists to design software solutions based on a set of product requirements and integrated it into WiseTech Global's enterprise software called CargoWise One. Developed solutions in the areas of software architecture, Windows Presentation Foundation (WPF) using C# and Web programming (desktop, mobile and tablet) platforms using javascript, jQuery and HTML.Key Skills Demonstrated:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Liaised with product managers to translate new features and bug fixes to the relevant production code changes.• Improved integrity and reliability of code solutions with test driven development and regular peer reviews.• Developed debugging techniques in Visual Studio and web browser inspector.• Managed concurrent tasks in different code languages and product areas. -
Head Tutor For Engineering DesignUnsw Australia Jul 2016 - Nov 2016Unsw▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬As the head tutor, I collaborated with the course lecturer to lead a team of 12 demonstrators to plan each week's tutorial classes and organise the teaching materials to be delivered to 400 enrolled students . I worked closely with a co-demonstrator to facilitate a class of 66 students and educate them about the engineering design process. I created standardised marking templates and ensured the consistency in marking of course assessments by demonstrators. I actively worked with the lecturer to restructure and improve the course for future students. Key Achievements:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Effectively led a team of 13 tutors and coordinated the marking of over 340 design project reports.• Developed a Perl program to automate the collating and calculating of the average of 3000+ individual grades from the course website for 388 students in under 2 seconds.• The class I tutored achieved a grade average of 81/100 with 34% achieving high distinctions.Key Skills Demonstrated:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Quick learning of new course material to teach students fundamental concepts• Dynamic planning of weekly tutorial classes tailored to progression of lecture material• Strong communication and public speaking skills to coordinate and teach weeklymaterials to a class of 66 students• Facilitation the formation of student teams of 6 and managing administrative difficulties that may occur• Engaging students in a collaborative learning environment through a balance of new teaching integrated with group interaction• Organising weekly meetings and efficient means of communication between demonstrators and the lecturer
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Mechanical Engineering InternJames Hardie Australia Dec 2015 - Feb 2016Rosehill, Sydney▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Worked with the engineering research and development team to analyze the load-deflection profile of different types of springs to select the optimum spring for the production line machine. I developed a statistical regression model to accurately determine the load-deflection relationship of non-linear springs. From this, I formulated conclusions from the data in relation to the overall project requirement and recommended modifications to the system which were approved by the senior engineers.Key Achievements:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Developed an Excel macro program to automate the processing of large amounts of test data, reducing the processing time from 7 minutes to 5 seconds per sample.• Applied a mathematical regression which accurately predicted the spring load-deflection profile to an accuracy of 90%.Key Skills Demonstrated:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Collaborated with my supervisor and senior engineers to plan and execute project tasks.• Conducted various experiments to collect relevant data for analysis.• Statistical analysis including regression fitting, ANOVA and hypothesis testing using Minitab.• Presenting key findings and recommendations to senior engineering managers.• Liaised with suppliers to organise the purchase of proposed system upgrade. -
Media AdvisorJb Hifi Dec 2013 - Jan 2015Holmesglen Store, Melbourne, Australia▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Worked in sales in processing transactions at the register, merchandising and answering customer calls in a friendly and professional manner then directing them to the appropriate department. Key Achievements:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Efficiently and accurately processed over $45,000 cash transactions over the Christmas week to less than $5 discrepancy.Key Skills Demonstrated:▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬• Effective customer service skills in identifying needs of customers and ensuring they are being looked after by the appropriate department.• Strong knowledge of store operations and procedures for addressing customer calls, product returns, lay-bys and game trade-ins.
Shawn Manuel Skills
Mechanical Engineering
Project Management
Public Speaking
Teaching
Team Building
Mathematical Modeling
Statistical Data Analysis
Research
Time Management
Teamwork
Leadership
Problem Solving
Microsoft Excel
Javascript
C/c#
Java
Shawn Manuel Education Details
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Computer Science
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92/100
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Huntingtower SchoolAtar: 98.65
Frequently Asked Questions about Shawn Manuel
What company does Shawn Manuel work for?
Shawn Manuel works for Toyota Research Institute
What is Shawn Manuel's role at the current company?
Shawn Manuel's current role is Machine Learning and AI Specialist.
What is Shawn Manuel's email address?
Shawn Manuel's email address is sh****@****bal.com
What is Shawn Manuel's direct phone number?
Shawn Manuel's direct phone number is +612800*****
What schools did Shawn Manuel attend?
Shawn Manuel attended Stanford University, Unsw Australia, The University Of Texas At Austin, Monash University, Huntingtower School.
What are some of Shawn Manuel's interests?
Shawn Manuel has interest in Guitar, Table Tennis, Cooking, Badminton, Music, Piano, Singing.
What skills is Shawn Manuel known for?
Shawn Manuel has skills like Mechanical Engineering, Project Management, Public Speaking, Teaching, Team Building, Mathematical Modeling, Statistical Data Analysis, Research, Time Management, Teamwork, Leadership, Problem Solving.
Who are Shawn Manuel's colleagues?
Shawn Manuel's colleagues are R. Grant Reed, Candice Hogan, Ph.d., Tomomi Matsumura, Dule Shu, Alexandre Filipowicz, Alejandro Castro, Hiroshi Yasuda.
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