Senior Systems Engineer Robotics & Automation

Lakshmi Duvvuri

Mobile: (***)–***-**** Email: *********@*****.***

www.linkedin.com/in/nduvvuri

GitHub:https://github.com/nduvvuri/AI/tree/AI-1

OBJECTIVE

Senior Systems Engineer – Robotics & Automation

Experienced in end-to-end systems engineering, from concept development and design to integration, testing, and production support. Recent focus on system integration, proof-of-concept development, and supply chain automation. Seeking to apply and expand expertise in advanced robotics and cross-disciplinary engineering. EDUCATION

● Master of Science, Robotics & Mechatronics, 2016-2018, Santa Clara University (SCU), USA.

● Bachelor of Engineer (B.E.) in Mechanical Engineering, 2002-2006, Osmania University, India. TECHNICAL SKILLS

● Programming: Python, MATLAB.

● Others: Simulink, Gazebo, Fusion 360, Solid works, Maker Lab Experience.

● Familiar: C#, C++, OpenCV, SLAM, Car Maker, dspace control desk, ROS. GRADUATE WORK EXPERIENCE

Future Dial, Sunnyvale, USA, April 2020-till date

Sr. Systems Engineer in Robotics

Lead Systems Engineer for robotic subsystems in the smart processing platform by Future Dial—a modular solution leveraging robotics and AI for device intake, functional testing, and cosmetic grading in supply chain and reverse logistics operations.

Collaborate with engineering to enhance new product serviceability and lead projects addressing Customer Special Requirements (CSR).

Analyzed customer requirements to develop detailed system specifications, ensuring alignment with both hardware and software components.

Utilized core team’s system architecture to validate compliance with system requirements.

Worked with both digital and analog circuit design, sensors, and electronic instrumentation.

Contributed to the implementation of cameras, lighting systems, image processing algorithms, and deep learning techniques.

Developed and documented mechanical and hardware/software interface specifications to ensure seamless system integration; produced detailed technical reports.

Conducted customer gaging tests, GRR to evaluate the reliability and repeatability of new products.

Provided system engineering expertise for troubleshooting, repairs, and failure analysis and implemented corrective actions for product defects and process issues across the product lifecycle.

Developed and documented system details and production processes to support field application engineers and operators.

Zoox, Foster city, USA, Feb 2019-March 2020

Systems Engineer in Robotics

I worked for different projects within System engineering and functional safety group at Zoox. POSE Estimation

● Built tools to evaluate performance of Robot sensor monitors and identify algorithmic failures. HIL drive tests automation

● Defined fault injection requirements in the vehicle hardware and software to test the emergency and autonomous stopping behavior of the vehicle using carmaker simulator and dspace control desk/scalexio. Developed python scripts to automate the hardware in the loop (HIL) drive tests performed on the autonomous vehicle. Occupancy Grid generation for Collision avoidance system

● Implemented a few algorithms on the LIDAR perception 3D point cloud data for obstacle avoidance. The activities performed with the algorithms included ground and elevated points separation, out of range point filtering, elevated points clustering, object shape fitment, occlusion modeling and drivable surface generation. Autonomous vehicle Road Networks

● Developed tools in python to generate Road network characteristics for different regions, road segments, lanes and junctions. These Road network characteristics play a key role in Road safety metrics design, defining safe driving maneuvers, scenario generation and probabilistic collision estimation. Skycart drone delivery services, USA, Dec 2017 – Dec 2018 Robotics Engineering Intern for unmanned Aerial vehicles

Configured autopilot for new service drones with Pixhawk 2.1 flight controller, NVidia Jetson GPU, RC transmitter and performed outdoors testing.

Improved object edge detection using image processing algorithms. Explored research papers on optimal and adaptive control strategies for multirotor drones, implemented, simulated, tested and investigated the solutions using MATLAB and Simulink.

Performed system identification on the test drone to identify the flight accurate model and build an extended Kalman filter for state estimation. Worked on an electro-mechanical drone station prototype design using SolidWorks, 3D printing and Arduino microcontroller.

Tools: ROS and C++, Open CV, NVidia Jetson GPU, Pixhawk 2.1, APM planner, solid works, 3D printing, Arduino microcontroller.

GRADUATE PROJECTS

Autonomous Kayaks with Cluster control SCU 2018

● Built an autonomous test bed with Pixhawk flight controller, Arduino and RC transmitter.

● Built two autonomous Kayaks with Pixhawk, Roboteq Motor controller, propellers and APM planner open-source software. Replaced Pixhawk with a low cost PXF Mini and Raspberry pi integrated autopilot controller. Developed an onboard and offboard advanced control system architecture for the two kayaks.

● Designed leader-follower formation /multi-robot control architecture for the two kayaks in Simulink and tested the controller on the kayaks and fine-tuned the controller gains experimentally.

● Mounted flow sensors on the kayaks for future research work involving gradient-based multi-robot adaptive navigation through a parametric field.

Tools: Python, MATLAB, Pixhawk, APM planner, Mission planner, PXFMini, Raspberry Pi, Simulink, Arduino, 3D printing, Roboteq motor controller, flow sensors, Joystick. SLAM implementation on an Autonomous Mobile robot SCU 2018

● Attempted implementation of iterative closest points (ICP), feature-based technique, Kalman and particle filter to localize a demo Bot.

● The point cloud data was collected by navigating the demo Bot equipped with a 2D LIDAR and encoder, within the robotics research lab. Tried implementation of EKF SLAM algorithm on the demo Bot. System Identification SCU 2017

● Identified and analyzed the dynamic model of XV-15 tilt-rotor aircraft & stanford p1car using frequency response approach. Validated the final model structures with time domain methods. Tools: MATLAB, CIPHER, Simulink

Digital Image Processing

● Implemented a solution to analyze several images of coins (gray scale and RGB) and performed segmentation and pre-processing to separate the coins from the background and distractors.

● Identified the boundary, diameter and center for each coin leveraging three different approaches i.e., matching filters/cross correlation, circular Hough transform and morphological filters. Tools: MATLAB, Digital Image processing toolbox, python. Artificial Intelligence and Machine Learning SCU 2017

● Considered a raw data set from UCI Machine learning repository, performed data set cleaning, built testing & training data sets, created ID3 Decision Tree and performed model optimization and testing.

● Developed an API in python that accepts two CNF statements as inputs and resolves them, and answers queries as per the resolution algorithm.

● Implemented an A* graph search algorithm, astar.py’ to solve a rectangular grid environment based on the Agent’s degree of freedom, energy budget, cost function and heuristics. Tools: Python3.5, Linux

UNDERGRAD WORK EXPERIENCE

Cisco Systems Inc., San Jose, CA 2014-2016

Business Process Architect

Designed & implemented a data pipeline in python to stream traceability information between Cisco’s Contract Manufacturers (CM) and system nodes. Aggregated metrics around nodes to help perform root cause analysis, gradually leading to design appropriate solutions to improve implementation at the CM site. This project was a part of DFDR end-to-end six-sigma initiative.

Involved in building & deploying a Defect & Repair (DR) data capture portal, a dashboard to validate the Bill of Material (BOM), repair and record process guidelines, metrics and traceability data from CMs.

Acted as a technology partner and coordinated with Cisco Global Manufacturing Operations, Product and Supplier Quality Engineering teams to analyze the gaps in CM Reports. Identified potential issues in the Contract Manufacturer Report applications and prepared BRD to drive IT changes for issue resolution. Visited the Contract manufacturer sites, Foxconn, Jabil and Flextronics regularly to review the manufacturing quality process and metrics.

Tools: Python, .Net based internal applications.

General Electric Transportation Systems, Grain Valley, MO 2008-2014 Mechanical Engineer/Team Lead

Deeply involved in building & supporting the supply chain units across GE Transportation on the site, by managing the submission of NPI, MIR, and Engineering Deviations, Engineering Change release management in engineering and manufacturing vaults. Change order status dashboard reporting to function leaders.

Worked with mechanical, electrical and signaling engineers for the design, modeling and detailing of North American railroad signaling products and wayside equipment in solid works. Involved in the critical North American railroad positive train control (PTC) project at GE.

NPI, Generation of Bill of Material (BOM) for assemblies, creation and release of engineering change, etc. using PLM tools Agile, Product center and JD Edwards. Handled process improvement projects in Automated Quality check for drawings in 2D, helps to reduce human errors in drafting.

Key staff in applying six sigma– ISTRIVE on approved vendor list (AVL) management in client database, which reduced supply chain cycle time and manual effort and saved $xxxxx annually for GE. Reduced time-consuming steps in the PLM process architecture using 6σ.

Involved in workflow mapping for JDE to Oracle and Product Center to Oracle migration project.

Managed & mentored a team of 6 monitoring the team’s deliverables in design, component engineering and technical writing, conducted training on GE’s PLM processes to product managers, engineering and manufacturing teams.

Tools: Six Sigma methodology-ISTRIVE, 3D & 2D CAD, Product center, JD Edwards ECO module, Agile PLM tools.

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