“Engineering is the closest thing to magic that exists in the real world”
I’m a Robotics Engineer passionate about advancing autonomy. My work blends machine learning, robotics, and interdisciplinary problem‑solving to tackle challenges in transportation, manufacturing, healthcare, and beyond.
Currently, I’m a Senior Software Engineer at Lucid Motors, specializing in HD maps, navigation, and ADAS systems for autonomous driving. I design and optimize map delivery pipelines, integrate GNSS sensor data with TomTom APIs, and build visualization/debugging tools with Folium, Plotly, and QGIS to accelerate issue resolution.
Previously, at Dematic (Kion Mobile Automation), I developed mapping and localization (SLAM) algorithms for automated guided vehicles (AGVs) in warehouse environments. My work improved accuracy and speed using 2D/3D LiDAR, wheel odometry, IMU, and cameras, with implementations in C++, Python, and ROS. I also built perception models for real‑time detection of forklifts, pallets, and people.
I hold a Ph.D. in Mechanical Engineering (Robotics), where I designed algorithms for simulating and synthesizing closed‑loop mechanisms (parallel kinematic robots). During my Ph.D., I developed SnappyXO, a laser‑cut robotics kit for building mechanisms and robots, which ran a successful crowdfunding campaign. I’ve mentored undergraduates on projects ranging from walking and climbing bots to biomimetic robots, self‑driving cars, and drones. An online mechanism design platform I developed is available here: http://cadcam.eng.sunysb.edu
I’ve also completed Udacity’s Self‑Driving Car Nanodegree, gaining hands‑on experience with computer vision, deep learning, sensor fusion, localization, motion planning, and control. Many of these projects are showcased on my GitHub here: https://github.com/ssharma1991
Outside of engineering, I enjoy exploring nature through hiking and backcountry camping.
Explorer. Engineer. Roboticist.