Robotics software engineer Potsdam, New York · Open to relocation
Robotics software, from camera to control.
I’m Neeraj. I work with Python, C++, ROS 2, and Linux on perception, state estimation, and control. I care about systems that are testable, observable, and straightforward to debug.
These projects are where I’ve spent the most time: connecting perception to systems code, testing the edges, and writing down what actually worked.
Selected course projectSimulation-validated
Vision-only warehouse convoy
Designed a camera-only predecessor-following system in ROS 2 Jazzy and Gazebo Harmonic. Each follower estimates relative pose, tracks uncertainty, and moves through a bounded TRACK / PREDICT / SAFE STOP supervisor.
Pick the area closest to your work. This is a quick view of the parts of my background that connect to it.
ROBOTICS SOFTWARE
I like working across the stack.
Perception, state estimation, control, simulation, and the tests that keep the pieces working together.
01ROS 2 convoy architecture across five packages and isolated namespaces
02Real-time perception profiled from camera frame to control command
03Field-tested UAV/UUV perception and control workflows
03 EXPERIENCE
Research + field work
Research, simulation, field work.
My experience moves between theory, simulation, and hardware—always with measurement at the end.
Sep 2025 — Jan 2026
Clarkson University
Graduate Research Assistant · Theoretical Systems
Benchmarked nonlinear time-of-arrival localization solvers and quantified 6.8 m RMSE for linear approximations.
Reduced simulated RSSI localization error by 50% through anchor placement and GDOP analysis in a 200-node network.
Jan 2023 — Jun 2024
Cambridge Institute of Technology
Undergraduate Research Assistant · UAVs & Robotics
Integrated perception and embedded control across two UAV/UUV prototypes, reaching 92% obstacle-avoidance success in real-world trials.
Reduced aerial tracking latency by 30 ms through onboard OpenCV optimization.
Feb 2023 — Jun 2023
Avian Aerospace
Student Intern · Drone Technology
Calibrated ArduPilot flight controllers across four drone prototypes.
Reduced mid-flight telemetry errors by 12% through PID tuning and flight-log analysis.
May 2024 — Mar 2025
iBrains Centre for Precision Neuro-Psychiatry
Project Intern · Deep Learning
Trained predictive models across 10,000+ medical samples.
Built signal-processing and model-evaluation workflows for neurological biomarker research.
04 ABOUT
I like robots. And debuggable systems.
I’m most interested in autonomy problems where software has to understand a noisy world and still make a safe, timely decision. Outside the algorithm, I care about the unglamorous parts that make the system real: interfaces, deployment, observability, fallback, and documentation.
Mobile roboticsRobot perceptionState estimationEmbedded controlLinux desktopsEdge AI
EDU / 01
M.S. Electrical & Computer Engineering
Clarkson University · Potsdam, NY
Expected December 2026 · GPA 3.5/4.0EDU / 02
B.E. Artificial Intelligence & Machine Learning
Visvesvaraya Technological University · Bengaluru
First Class with Distinction · July 2025LEAD / 03
IEEE Robotics & Automation Society
College chapter chair · Robotics Club president
Technical community leadership
05 WRITING
Things I keep thinking about
Beyond the workbench.
Occasional notes on technology, people, and how the systems around us could work better.
We want world-class engineering. So why do we look down on people working with machines? A sandwich thought about skilled trades, social status, and India’s growth.