Functional Safety Engineer

SHASANK REKAPALLI

757-***-**** ● Virginia Beach, VA ● add1jp@r.postjobfree.com

EXPERIENCE

Functional Safety Engineer October 2019 – May 2020 Harley Davidson Milwaukee, WI

Derived concepts to enhance safety and performed hazard analysis, DFMEA, qualitative and quantitative fault tree analysis. Created and Managed Test plans related to Requirements. Involved in Requirement analysis, FSR preparation, Higher/lower level design, Unit testing, Integration testing and System testing. Key Responsibilities:

• Led and coordinated creation of functional safety documentation according to ISO26262 for different systems.

• Conducted reviews with product teams to ensure functional safety standards are being met throughout product development cycles.

• Collaborated with different stakeholders across the product development team on functional safety and acted as the contact point for other engineers for safety related questions

• Analyzed and translated system function documents into boundary diagrams and support standardization of documentation and the adoption of ISO26262 standards and practices. Graduate Assistant Aug. 2017 – Apr.2018

Old Dominion University Norfolk, VA

• Managed and transformed large sets of structured, semi structured and unstructured data. Compiled data from various sources public and private databases to perform analysis and data manipulation for actionable results.

• Collaborated with Faculty from College of Engineering in estimating the correctness of the data.

• Parsed data, produced concise conclusions from raw data in a clean, well-structured and easily maintainable format. PROJECTS

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Unsupervised Learning with Deep Convolutional Generative Adversarial Networks

• Built a Generative Adversarial Network based Deep Learning model using Large Scene Understanding (LSUN) Bedroom dataset. Developed an efficient network to reduce the runtime considerably and improve runtime. Image Categorization: Dog Breed Classification

• Built a deep learning model capable of classifying dog breeds using the Stanford Dog dataset.

• Adopted a Convolutional Neural Network as an approach to this task. Analyzing Data by setting up an IoT network architecture on Google Cloud Platform

• Setup a network of IoT sensors and devices to collect and act based on received data.

• Created a Dataflow pipeline using GCP resources to store, query and gain data insights. EDUCATION

Old Dominion University Master of Engineering in Electrical and Computer Engineering 2017- 2019

● Related Courses: Machine Learning, Deep Learning, Statistical and Computational Methods, Mobile Sensing using Smart Devices, Advanced Digital Design, Power System Design and Analysis, Functional Safety

● Marketing Coordinator- Indian Student Association; SKILLS

MATLAB Python Microsoft Office C C++ LabVIEW Machine Learning Google Cloud Platform CANoE

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