flyzipline > flyzipline Employee Directory > Parth C.
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Parth C.
Perception Software Engineer
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Location: United StatesApprox. Years of Experience: 9
Parth C.'s Current Workplace
Zipline
Company Size
1001-2500
Amount Raised
$491.0M
Zipline was founded to create the first logistics system that serves all humans equally. Our aim is to solve the world’s most urgent and complex access challenges. Leveraging expertise in robotics and autonomy, Zipline designs, manufactures and operates the world’s largest automated delivery system. Zipline serves tens of millions of people around the world and is making good on the promise of building an equitable and more resilient global supply chain. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart and enabling leading healthcare providers to bring care into the home in the United States, Zipline is transforming the way goods move. By transitioning to clean, electric, instant logistics, we can decarbonize delivery, decrease road congestion, and reduce fossil fuel consumption and air pollution, while providing equitable access for billions of people. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Zipline is inspiring people, governments, and businesses to imagine what is possible when goods can move as seamlessly as information. To join the team, check out our career page: https://flyzipline.com/careers/
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Notable Investors
Techstars, Andreessen Horowitz, Sequoia Capital, Goldman Sachs, Temasek Holdings
Robotics
Logistics
GreenTech
Transportation
Delivery Service
Experience
Perception Software Engineer
Zipline · Full-time
Feb 2023 - Jan 2024
1 yr
Acoustic Perception, Tracking, Detect and Avoid capabilities for delivery drones in dense airspaces. Skills: Julia (Programming Language) · Bash · Python (Programming Language) · Rust (Programming Language) · Weights&Biases
Software Engineer II - Perception & Tracking Metrics
Argo AI
May 2022 - Nov 2022
7 mos
◦ Created Ground Truth Validation C++ backend & Looker dashboard frontend to ingest log sets at-scale and identify erroneous manual and auto-labeled tracks. ◦ Implemented spatiotemporal differentiation & LiDAR point-label data association for labelled tracks. ◦ Implemented message schema and legacy code feature upgrades to generate track metrics for objects with non-deterministic shape - enabling org-wide design verification workstreams for weather artifacts & inanimate objects Skills: Bash · C++17 · Python (Programming Language) · Looker (Software)
Software Engineer - Perception
Optimus Ride
May 2021 - May 2022
1 yr 1 mo
Situational Awareness team - detection and tracking. - Created libraries implementing near-field fisheye camera calibration, monocular MOT with Kalman Filters & SORT, and radar detection based occupancy gridmaps. - Drove cross-functional collaboration to evaluate L4-capable AV LiDAR/camera sensor performance in adverse weather. - Developed ground-truthing tooling & automated pipelines to ingest >1,000 testbed datalogs & summarize sensor performance and failure modes Skills: Bash · C++17 · Python (Programming Language)
Autonomous Vehicle Research Engineer
Honda R&D Americas, Inc.
Jun 2019 - May 2021
2 yrs
Connected and Autonomous Vehicle engineering with a focus on robotic perception and localization. ◦ Created ensemble-EKF based MOT pipeline from scratch, performed sensor fusion with LiDAR / RADAR / camera detection outputs. ◦ Implemented data association, EKF model parameter tuning, & object list fusion with tracks from two vehicles. ◦ This pipeline resulted in two ICRA papers on affordable autonomy with co-operating pairs of L2 & L4-capable vehicles communicating over a lossy V2V network. ◦ Created onboard SW infrastructure. Integrated sensor drivers, networking, Docker containers, multi-sensor calibration stack. ◦ Implemented full-stack prototype for parking finder assist feature by training U-net based semantic segmentation, innconjunction with geometric CV / heuristic-based polygon detection. Skills: C++17 · Bash · Python (Programming Language) · ROS · Docker · PyTorch · Linux
Robotics Engineering Intern
Magna International
May 2018 - Aug 2018
4 mos
• Developed and evaluated safety-critical hard-realtime software pipeline to control industrial manipulators for manufacturing processes primarily using ROS2.0, DDS communications, PCL and ROS-Kinetic libraries in a Linux Environment • Wrote ROS packages in Python/C++ for sensor-fusion, obstacle detection and rule-set execution to interface with ABB robots • Coordinated code development in team of 5+, performed Git repo maintenance and code documentation using Scrum and Kanban Skills: Python (Programming Language) · ROS 2 · ROS · Rviz · C++ · Point Cloud Library (PCL) · ABB Robots
Research Intern
Instituto Superior Técnico
May 2017 - Jul 2017
3 mos
• Developed a ROS - Gazebo-based simulation for the IDMind MOnarCH mobile robot, worked with team of 5+ graduate students to integrate current packages used for mobile navigation and task execution for RoboCup@Home competition challenges. • Created working ROS - based description files to simulate noisy multi-modal sensor inputs and environment interaction Gazebo Simulation : IDMind MOnarCH bot
R&D Engineer
Bubblefly Technologies Private Limited
Jun 2016 - Feb 2017
9 mos
UAS-DTU
Oct 2012 - Jun 2015
Avionics Lead
Aug 2014 - Jun 2015
11 mos
• Developed & flight tested a Group 2 Tactical Class Unmanned Aerial System (UAS) with surveillance capabilities • Integrated UAS with open-source autopilot and gimbal stabilized imaging payloads, performed electric propulsion optimization • Led a multidisciplinary team of 20+ undergraduate students to execute UAS design and development cycle
Avionics Engineer
Oct 2012 - Jul 2014
1 yr 10 mos
AUVSI Student UAS Competition 2014 - Maryland, USA • Secured 3rd position overall out of 35 international teams • Integrated multi-sensor payload and radio communications on catapult-launched mini UAS AUVSI Student UAS Competition 2013 - Maryland, USA • Secured 6th Position Overall out of 29 international teams • Designed and fabricated avionics enclosures & routing PCB’s for composite airframe, assisted in flight test procedures Skills: ArduPilot · Pixhawk · C++ · Circuit Design · Python (Programming Language) · Team Management · UAVs · Drone Piloting · Failure Mode and Effects Analysis (FMEA) · Systems Engineering System for AUVSI SUAS 2014 - Vihaan System for AUVSI SUAS 2013 - Aarush M
Education
  • 2017 - 2019
    University of MichiganMaster's degree, Robotics
  • 2012 - 2016
    Delhi College of EngineeringBachelor of Engineering (B.E.), Engineering Physics
  • 2008 - 2012
    Delhi Public School - R. K. PuramHigh School Diploma, Physics, Chemistry, Math, CS