Mohammad (Ihsan) Labeeb
Research Intern - ML / ADAS
Experience
Research Intern - ML / ADAS
IAV GmbH
- Developed and optimized LSTM-RNN and Decoder Transformer models to predict vehicle trajectory during target loss events in Adaptive Cruise Control systems, achieving 20% improved predictive accuracy over baseline models.
- Engineered novel data preprocessing pipeline from real road campaign data, processing multi-sensor time series data, generating 300+ training snippets.
- Implemented Bayesian hyperparameter optimization and applied physical constraints to prevent model run-away behavior, resulting in 30% smoother acceleration profiles.
- Extended existing patented technology for AI-assisted ACC function improvements, building upon foundational work to enhance network performance.
- Tools: Python, TensorFlow, Keras, Optuna, CarMaker
Startup Founder
Procurio
- Developing an agentic AI framework for procurement automation, creating a full system from concept to MVP with autonomous workflow capabilities.
- Participated in the AI Start accelerator program at Campus Founders, Heilbronn.
- Tools: Python, ROS2, Mapviz, Wireshark, GIT
CAE Engineer
Renault Nissan Technology & Business Centre India
- Contributed to 15+ vehicle safety finite element analysis (FEA) projects, consistently meeting tight deadlines and coordinating between multiple stakeholders.
- Developed Python automation scripts that reduced simulation workflow time by 20%.
- Led training sessions for 7 new team members on simulation tools and methodologies, creating comprehensive documentation.
- Tools: Python, Pamcrash, ANSA, Animator, Linux (Putty)
Student Research Assistant – Shuttle Modellregion Oberfranken II Project
Hochschule Coburg
- Led development of ROS2 visualization system for real-time pedestrian tracking and trajectory prediction.
- Coordinated data collection efforts using Cohda MK5/MK6 devices for V2X-Message processing.
- Implemented Time To Collision (TTC) calculation algorithm and integrated with visualization system.
- Tools: Python, ROS2, Mapviz, Wireshark, GIT
Industries Experience
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Experienced in Automotive (2 years) and Information Technology (1 year).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Product Development (3 years), Information Technology (1 year), Research and Development (1 year), and Procurement (1 year).
Summary
Machine learning engineer with hands-on experience in deep learning and generative AI. Proven track record implementing AI/ML solutions through research roles at IAV GmbH and Hochschule Coburg. Proficient in Python with practical experience in rapid prototyping and cross-functional collaboration. Passionate about leveraging cutting-edge AI technologies to optimize processes, drive innovation, and create meaningful business impact in fast-paced, innovation-driven environments.
Skills
Programming Languages: Python (Advanced), C++ (Basic), Matlab (Basic), Sql (Basic)
Machine Learning & Ai: Pytorch, Tensorflow, Keras, Scikit-learn, Optuna, Opencv, Pandas, Ros2
Generative Ai & Llms: Transformers, Langchain, Rag, Lora, Faiss
Mlops: Git, Ci/cd (Github Actions), Docker, Mlflow, Dvc, Fastapi, Aws
Softwares & Tools: Power Bi, Tableau, N8n, Cursor, Wireshark, Ipg Carmaker, Sumo
Adaptability
Teamwork
Communication
Languages
Education
Hochschule Coburg
Master of Engineering, Autonomous Driving · Autonomous Driving · Kronach, Germany · GPA: 1.4
SCMS School of Engineering and Technology
Bachelor of Technology, Mechanical Engineering · Mechanical Engineering · Ernakulam, India · GPA: 7.52
Certifications & licenses
Python
Profile
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