Nihal Nallari
Ai Ml Enginner @Digilaunch
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WORK HISTORY
Ai Ml Enginner @Digilaunch
At DigiLaunch, I work at the intersection of AI development and technical leadership, contributing to the design and deployment of production-grade AI systems.1. Design and implement AI-based computer vision solutions for real-time video analytics on edge devices.2. Develop and deploy machine learning pipelines supporting the company’s digital innovation initiatives.3. Lead and coordinate a remote engineering team of 10–11 members, overseeing task planning, technical direction, and delivery.4. Review code, guide architectural decisions, and support team members to ensure quality and reliability.5. Translate business requirements into technical solutions, aligning AI system design with real-world deployment constraints.6. Coordinate across stakeholders to ensure smooth execution from concept to production.This hybrid role allows me to contribute both hands-on technically and strategically, strengthening delivery of AI-driven products while scaling the company’s AI capabilities.
EDUCATION
University of Duisburg-Essen
Master's degree, Automation and control
St Andrews High School - India
10th
SRM IST Chennai
Bachelor of Technology, Mechatronics Engineering
Sri Chaitanya Junior College
11th-12th, Maths, physics and chemistry
ABOUT NIHAL NALLARI
Robotics Software Engineer | Computer Vision | SLAM | Motion Planning | ROSRobotics Software Engineer with 2+ years of experience in robotics and automation. Skilled in SLAM, computer vision, sensor fusion, motion planning and ROS2. Experienced in autonomous navigation development, passionate about advancing real-world robotics through innovative R&D.Key Highlights->Student Researcher | Hochschule Rhein-Waal, GermanyLed projects on the Xarm Lite 6 robotic arm, implementing ROS2 environments and writing C++ code for precise control. Configured virtual machines and integrated essential tools (Moveit, Gazebo, Rviz) for seamless robotics development->ROS2-Based Control System for UR10e ManipulatorDeveloped a ROS2-based vision feedback system for semi-automated liquid cargo handling, using OpenCV and robot kinematics to reduce manual labour and speed up port-to-ship pipe transfers->Robot Path Planning Amid Crowds (Team Project)Collaborated in a team of five to develop a mobile robot capable of navigating dynamic, crowded spaces such as streets or warehouses. Deployed a LoCoBot with DWA path planning and LiDAR–ZED sensor fusion for SLAM and real-time obstacle avoidance, enabling efficient navigation in dynamic, crowded environments.I thrive in dynamic, team-based environments, always eager to leverage my technical skills in robotics and automation. Let’s connect if you’re looking to innovate in robotics, automation, or advanced control systems!
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