Guru Deep Singh
Software Engineer
Neu-Ulm, Bavaria, Germany
+491704661651 • gurudeep1998@gmail.com
Professional Summary
Results-driven software engineer with a strong background in developing and deploying robust Machine Learning and traditional Computer Vision software solutions. Passionate about innovation and committed to continuous learning, effective problem-solving, and delivering high-quality, scalable solutions.
Work Experience
Software Engineer
Oct 2022 - Present- Established a CNN framework for detection of traffic participants objects and implemented it using the ONNX framework in C++ on internal MEMS LiDAR data, contributing to a mid-level fusion schema.
- Leading the C++ based implementation and optimization of LiDAR Odometry algorithm with state-of-the-art algorithm (LOAM) based backbone on LiDARs such as HRL131, Innovusion, P64 and P128.
- Realized a Long range Camera and Lidar based lost cargo height optimization strategy using self developed algorithmic pipeline for L4 Autonomy project.
- Collaborating on the development of multi-modal low-level fusion radar based mapper for Out-of-Distribution objects.
- Engineered a unique KPI framework to compare multi-modal Odometry signals without the need of explicit extrinsic calibration between sensors.
Master Thesis Student
Nov 2021 - Jul 2022- Executed research and development of Domain Mapping based Transfer Learning approach for point cloud adaptation between Optomechanical and MEMS Lidars with a downstream task of Semantic Segmentation and Object Detection.
- Utilized opensource datasets like Cirrus and KITTI for training and inferring pseudo-labels for proprietary internal Lidar data.
Intern
Aug 2021 - Oct 2021- Delivered a scan pattern-based dynamic grid generation for a voxel-based semantic segmentation network, enabling efficient information extraction for regions of interest.
Education
M.Sc. Robotics
B.Tech. Automotive Engineering
Publications
Design And Validation Of Engine Intake Manifold Using Physical Experiment And CFD
Design And Optimization Of Crankshaft For Four-Cylinder 4-Stroke Spark Ignition Engine Using Transient Structural Analysis
Design and Fabrication of Wing of High-Payload Aerial Vehicle
Design and Development of Inertia Dynamometer for FSAE Application (6th Int. Conf. of Advance Research)
Technical Skills
Awards & Certificates
Certificates
- AWS Certified Cloud Practitioner
- CUDA Parallel Programming (Udemy)
- Docker & Kubernetes (Udemy)
- LLM Engineering (Udemy)
Awards & Scholarships
- Erasmus Scholarship (Aug 2021)
- Holland Scholarship (Sep 2020)