Viveka Mishra
Staff Systems Engineer at Latitude AI @ Latitude AI
About
I am a trained mechanical, electrical and intelligent systems engineer with demonstrated experience bringing a product from idea to prototype and leading a team from prototype to VC-backed corporation. I've built upon my roles as a controls algorithm engineer and electrical systems engineer to cross functionally develop, integrate, validate and deploy Ford's Autonomous Emergency Braking feature mitigating collisions with pedestrians and cyclists globally, both in production and for Ford's pre-production Co-Pilot 360 platform. Most recently I’ve developed and lead a cross-functional team in the implementation of a novel statistical approach to perception stack verification at Argo AI and have provided the company critical insights into perception architecture design decisions and functional performance given the context of launch targets.
United States
Detroit
Automotive
Engineering, Matlab, Simulink, Mechanical Engineering, Machining, Soldering, Solidworks, Assembly Language, Public Speaking, Teaching, MATLAB
Experience

Sensing & Perception Architecture Tech Lead
Developed & implemented probabilistic design verification plans for perception of objects & road actors, traffic lights, occlusions & free space. Led implementation - planned 60+ full time engineer weeks of work per quarter for 5 quarters- and validation of these functions and ran a cross-functional failure triage. Individually developed statistical case based test methods, built tools in python and SQL for statistically significant functional performance visualization and clearly communicated cross-functional safety targets for Argo’s public roads driverless launch. Implemented robust safety critical systems practices such as automated separation of training and DVP datasets, and guided a team of engineers within systems, test and software autonomy on systems engineering principles & implementation.

Autonomous Emergency Braking (VRU) Global Feature Owner
Dearborn, MI
Responsible for deploying the autonomous emergency braking algorithm to prevent collisions with pedestrians and cyclists on Ford, Mustang and Lincoln vehicles globally. Developed sensing, hardware, software, interface and feature requirements as well as verification and validation methods. Ensured that the requirements were testable and met for each vehicle line. Ran feature development sub-team to deploy multiple vehicle lines globally, concurrently. Characterized positive and negative performance from large-scale data studies and analyzed opportunity for improvement in edge case scenarios. Developed feature functional improvements, integrated and released feature code using model-based software development and GitHub SW release process. Ran software regression testing, SIL and HIL validation prior to implementation in-vehicle. Drove feature strategy, and hardware and sensing improvements by interfacing with Ford management, external teams and sensing suppliers. Developed functional improvements and processes to achieve the Ford feature’s first “superior” safety ratings in 2018 and 2019. Released the feature on more than 12 vehicle lines globally. Integrated the feature on upcoming efforts to develop Ford’s autonomous capabilities such as Co-Pilot 360, slated to be standard on 91% of Ford, Mustang and Lincoln vehicles in North America, ~2 million vehicles, by 2020.

Electrical Systems Engineer
Ran the electrical systems validation effort and drove wiring, software and electrical component manufacturing issue resolution for the 2018 Ford Expedition and Lincoln Navigator, which was awarded Best In Class and North American Truck of the Year. Ensured all parts related to electrical systems in the vehicle were delivered in time for tooling trial, prototype and the initial launch builds at Ford’s Kentucky Truck Plant.

Automated Driving Development Engineer
Greater Detroit Area
Developed the algorithm for collision mitigation in intersection scenarios. Was primarily responsible for the controls algorithm on the braking request and the path prediction compensation algorithm for sensor latency. This work was transitioned into production code as of 2019 on 3 vehicle lines.

Co-Founder and CEO
Cambridge, MA
Led team to become 2014 MassChallenge Finalists. Developed prototype from idea to initial iteration by evaluating the target market and working with potential users. Led the product design team to develop a manufacturable design. Ran study with the prototype to validate core value proposition. Closed an initial round of funding for a year of company development. Acquired committed customers and completed a viable business plan and developed a manufacturable prototype planned for large-scale production in China. • Developed and tested patent-pending wearable for the horse that alerts a rider to a potential injury in real-time. The system notifies the rider to subclinical injuries or re-injuries allowing the rider to prevent exacerbation of a ligament tear and the resultant long diagnostic and recovery period. • Evaluated market opportunities in order to design product for end-user • Developed promotional materials for potential customers and worked to develop a committed customer and primary user base • Pulled from a community of entrepreneurs, equestrians and veterinarians to create a well-rounded, involved advisory board • Developed and delivered pitch decks for potential investors and promotional events • Maintained timelines and deliverables for product development, customer outreach, and exploration of future opportunities to expand and develop a series of Smart Tack equipment • Incorporated and maintained legal compliance of the entity

Technical Consultant and Operations Manager
Takachar Project, Engineers without Borders
Nairobi, Kenya
• Tested and implemented charcoal briquetting using waste materials. • Developed a waste management pilot project to be utilized in Kibera and Mathare slums.

Student Researcher Ionnis Yannas Lab
· Studied how certain structures of scaffolds used in nerve healing affect the quality of wound healing · Helped design a Matlab program for a customized laser microscope · Image and data process in Matlab
Viveka Mishra's Contact Information
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