Ayush Kumar Singh

About Me

Passionate Robotics Engineer with 4+ years of core domain experience and over 7 years in industrial roles across automation, embedded systems, and real-time control. Specializes in designing and deploying intelligent robotic systems, integrating ROS/ROS2, AI/ML models, and custom hardware platforms. Adept at cross-functional collaboration and project leadership, thriving in innovative environments.

Professional Journey

Robotics Engineer

bAhead GmbH

2023 - Present

📍 Hamburg, Germany

• Developed Python-based ROS/ROS2 driver for Denso Cobotta robot.

• Path planner for robot arm using A* algorithm.

• Developed user interface for the end user to operate the robot.

• Established communication protocols like OPCUA, SILA2 between the robot and other medical devices

• Driver development for multiple medical devices like microplate washer, reader, shaker and endeffector wireless cameras (using vocore2).

• Object detection using OpenCV and detectron2 trained model.

• OpenWRT based custom OS development for vocore2. Python, shell based drivers creation for vocore and camera for wireless communication, streaming.

• Camera based calibration algorithm for mapping the microplate.

• Developed simulation of the Denso robot for the end user using RVIZ,moveit.

• Developed torque based collision detection algorithm.

• Responsible for creating applications using behavious trees.

• Responsible for leading the team and project management.

• Led and delivered a full-stack robotics project that reduced client manual effort by 66%, improving operational efficiency significantly.

• Integrated OPC UA and SILA2 protocols for secure device communication.

• Built user interface and real-time simulation tools using RViz and MoveIt.

• Engineered object detection with OpenCV and Detectron2 for automation tasks.

• Customized OpenWRT and VoCore2 drivers for wireless camera streaming.

• Designed torque-based collision detection and calibration for microplate mapping.

2023

2021

Robotics Engineer

Colruyt Group

2021 - 2022

📍 Halle, Belgium

• Developed C++ based API for point cloud generation of truck's cargo.

• C++ and ROS based Simulator development for robotic fork-lift.

• Motion controller development using sensor fusion for pose estimation by utilizing Extended Kalman Filter algorithm.

• Inverse kinematic and trajectory creation of mobile robot using A* algorithm.

• Pick and place algorithm of product using point cloud for its orientation and position estimation using RGBD camera and universal robot UR10.

• Scanning product to create 3d image by concatinating point cloud images by using Intel RealSense camera mounted over Universal Robot UR16.

• Developed C++ API for point cloud–based automation of truck cargo handling.

• Built robotic forklift simulator using ROS for testing and validation.

• Implemented sensor fusion and Extended Kalman Filter for accurate pose estimation.

• Designed mobile robot path planning and inverse kinematics using A* algorithm.

• Created 3D camera–based pick-and-place system for product orientation and pose detection.

• Used Intel RealSense and Universal Robots (UR10, UR16) for automated scanning and manipulation.

Machine Learning Intern

VisioLab

2020 - 2020

📍 Berlin, Germany

• Trained the neural network (siamnet) to detect food items

• Transforming this model from google cloud to coreML

• Creating an IOS application for the client

• Developed a computer vision system to detect and classify food tray items using YOLO and OpenCV in real-time environments.

• Integrated depth camera data to enhance spatial accuracy and object localization.

• Trained and fine-tuned object detection models to improve accuracy on custom datasets specific to self-service canteen environments.

• Collaborated with the core development team to prototype an AI-driven self-checkout solution for cafeterias.

• Contributed to improving model inference speed and deployment efficiency for edge-based applications.

2020

2016

Risk Analyst

Amazon

2016 - 2018

📍 Bangalore, India

• Investigating buyer accounts on the platform via cases, transactions, emails

• Handling large scale credit card transactions and bank accounts

• Training and assisting new employees on investigating cases

• Investigated and resolved high-risk transactions to prevent fraud and ensure compliance across Amazon’s e-commerce platforms.

• Analyzed behavioral patterns, account histories, and transaction data to identify suspicious activity and reduce false positives.

• Provided high-quality, human-labeled data that directly contributed to the training and improvement of Amazon’s internal fraud detection AI systems.

• Trained and mentored junior investigators to ensure consistency, accuracy, and adherence to global investigation standards.

• Developed process guidelines and best practices that improved investigation efficiency and decision quality.

• Recognized for consistently exceeding accuracy KPIs and contributing to process optimizations within the Transaction Risk Management team.

Technical Support Engineer

HP

2015 - 2016

📍 Bangalore, India

• Technical support to commercial clients for HP hardware or software issues.

• Provided technical support for HP products, including desktops, laptops, and printers, to global customers via phone and remote sessions.

• Diagnosed hardware and software issues, guided users through troubleshooting steps, and resolved system-level problems.

• Documented recurring issues and worked with engineering teams to improve support processes and product reliability.

• Delivered technical training to new team members and maintained high customer satisfaction scores through clear communication and timely resolutions.

• Gained foundational experience in system diagnostics, customer service, and real-time problem solving — building the groundwork for a career in engineering and automation.

2015

Skills & Expertise