Mohammad (Ihsan) L.

Research Intern - ML / ADAS

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Pforzheim, Germany

Experience

Sep 2024 - Jul 2025
11 months
Heimsheim, Germany

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
Nov 2023 - Aug 2024
10 months
Heilbronn, Germany

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
Dec 2021 - Mar 2023
1 year 4 months
Chennai, India

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)
Kronach, Germany

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

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

English
Advanced
German
Elementary

Education

Oct 2023 - Sep 2025

Hochschule Coburg

Master of Engineering, Autonomous Driving · Autonomous Driving · Kronach, Germany · GPA: 1.4

Aug 2016 - Sep 2020

SCMS School of Engineering and Technology

Bachelor of Technology, Mechanical Engineering · Mechanical Engineering · Ernakulam, India · GPA: 7.52

Certifications & licenses

Python

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