Rahul Chandail Email & Phone Number

Pointe-Claire, Quebec, Canada

• Developed a Deep Net based tree stem/bark image segmentation approach for tree biometrics like diameter at breast height
• Developed a ML augmented Deep Net model for high dimensional Hyperspectral data to detect early signs of Spruce Bud Worm attack on forest trees
• Developed a localization platform for localizing under challenging dense forest canopy based on INS and Visual Odometry fusion
• Used Clearpath Husky UGV to setup and prepare Navigation stack for forestry autonomous traversal
• Key words: Python, Tensorflow, Keras, Machine Learning, DNN, CNN, Pattern Recognition, non-parametric statistics, hyperspectral imaging, ROS

Ontario, Canada

• Developed Vision Augmented Vehicle State Estimation with Fault Tolerance prototype for localization of the Autonomoose vehicle. Objective of the prototype was to create accurate and reliable data estimates to be used.
• Achieved higher data robustness and estimation efficiency by augmenting conventional sensors with Visual Odometry (VO)
• Improved state estimates and reduced estimation error by implementing fault tolerance methodology to the estimation architecture
• Explored multiple degrees of freedom for a vehicle model
• Developed vehicle model prototype on MapleSim to integrate it with VREP simulation platform for replicated locomotion of the simulated vehicle
• Developed health monitoring node to track the health of the data messages throughout the estimation and fault tolerance chain

Auburn Hills, Michigan

• Created system architecture schematics, Vehicle Function (VF), Process Standard (PS), and SED for future model year vehicle releases
• Led DFMEA for current and upcoming safety systems like night vision
• Key part of development of implementation logic for ECU logic and algorithms
• Key part of Design For Six Sigma (DFSS) projects for surround view camera research and image quality improvement
• Led discussions with the legal department to resolve NHTSA guidelines
• Assisted in field assessments and supported system peer reviews

Ottawa, Ontario

• Key part of system-level design and structuring of automation architecture
• Analyzed memory dumps and disassembly information to locate possible crash producing functions
• Wrote custom local APIs to assist the implementation of the testing automation architecture
• Implemented automation architecture by writing PERL/Python scripts for test scenarios
• Reviewed/debugged, modified, updated, and re-wrote software automated test scripts
• Protocol Conformance, such as CDG, GCF, Wi-Fi alliance execution in accordance to industry standards and carrier requirements

Singapore

• Developed application for generating I/O lists from SQL database
• Read and asses single line diagrams and design drawings
• Assisted in generation of Load Shedding and Inhibiting logic for LS Control
• Performed Factory Accepted Testing procedures
• Assisted in generation/completion of technical proposal documents (BOM, ICSS, SOS, etc.)

Master Of Applies Science (M.A.Sc.), Electrical And Computer Engineering: Computer Software

Graduate research student in software for autonomous driving vehicles. Working on improved vehicle state prediction capabilities and.

Bachelor Of Applied Science (B.A.Sc.), Electrical And Computer Engineering

Activities and Societies: Engineers Without Borders, Golden Key International Honour SocietyGraduated with Honours in B.A.Sc. Electrical.