Maria Shaima (Shaima) J.-Master Thesis – Research & Development
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Experience
Master Thesis – Research & Development
FZI Forschungszentrum Informatik
- Developed multi-agent automotive simulation systems using MetaDrive for validating autonomous driving functions with reinforcement learning
- Developed, optimized, and debugged algorithms for ADAS behavior modeling using radar, LiDAR, camera, and IMU sensors
- Built neural network models and automated MLOps pipelines for data preprocessing, logging, evaluation, and large-scale experiments
- Integrated Generative AI-based scenario variation tools for automated scenario generation
- Technologies: Python, PyTorch, TensorFlow, Ray RLlib, MetaDrive
Working Student – Research & Development
FZI Forschungszentrum Informatik
- Designed and developed scalable AI modules, REST APIs, and backend components enabling automated simulation and ML integration
- Implemented NLP/LLM pipelines to convert natural-language scenario descriptions into structured simulation configs – an early Agentic AI workflow
- Built routing and navigation modules increasing system stability by 30% across scenarios for AV validation platform in traffic simulator
- Created 20+ OpenSCENARIO cases in Esmini, extending corner-case detection by 40%
- Used AWS to deploy scalable data pipelines for simulation logs and storage
- Collaborated with cross-functional teams working on perception, planning, and control stacks in autonomous driving
- Developed embedded sensor systems using ESP32 and Hall-effect sensors for deterministic vehicle control
- Tools: Python, CARLA, Esmini, OpenSCENARIO, FastAPI, Flask, AWS, Git, Linux
Student Research Assistant – Quantum Communication
Fraunhofer Institute – ISI
- Automated Python-based data engineering workflows for quantum communication
- Analyzed security protocols and studied post-quantum cryptography, ensuring data integrity and pipeline reliability
Project Steganography
Emertxe – Institute for Embedded Systems & IoT
- Developed encoding/decoding algorithms in C to embed files inside images while preserving signal integrity
Apprenticeship – Electronics & Instrumentation
Bharat Dynamics Limited, Ministry of Defence
- Conducted signal processing, calibration, and automated system testing for missile electronics
- Developed Python scripts to improve reliability, repeatability, and traceability in test pipelines
Internship – Instrumentation & Process Monitoring
Emirates Lime Factory
- Conducted real-time data acquisition, sensor validation, and system stability checks
Student Council Chair
National Service Scheme
- Organized student events and coordinated community outreach programs
Industry experience
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Experienced in Information Technology, Education, Automotive, Aerospace and Defense, and Telecommunication.
Business area experience
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Experienced in Product Development, Research and Development, Information Technology, Project Management, and Quality Assurance.
Summary
Master’s graduate in Sensor Systems Technologies with strong expertise in Python development, Generative AI, LLMs, NLP, embeddings, deep reinforcement learning, and end-to-end AI system design. Hands-on experience with PyTorch, MLOps pipelines, cloud computing (AWS), and clean-code OOP development. Skilled in building scalable AI pipelines, designing cross-functional AI solutions, and applying cutting-edge techniques in research and automotive simulation environments.
Skills
Programming: C++ (Advanced), Python (Advanced), C (Basic), Html/Css (Basic)
Tools & Frameworks: Pytorch, Tensorflow, Scikit-Learn, Matlab/Simulink, Metadrive, Carla, Esmini, Openscenario, Git, Linux
Ai/Ml: Deep Reinforcement Learning (Advanced), Supervised/Unsupervised Ml, Neural Networks, Data Preprocessing, Perception Models, Generative Ai, Llms, Langchain, Embeddings
Cloud: Aws (Ec2, S3, Lambda)
Languages
Education
Karlsruhe University of Applied Sciences (HKA)
M.Sc. Electrical & Computer Science Engineering, Sensor Systems Technologies · Electrical & Computer Science Engineering · Karlsruhe, Germany · 1.6
College of Engineering
B.Eng. Electronics & Instrumentation Engineering · Electronics & Instrumentation Engineering · Chengannur, India · 7.17 (≈2.42 German grade)
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Experience
Expertise
Qualifications
Profile
Frequently asked questions
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Maria Shaima is based in Karlsruhe, Germany.
Maria Shaima speaks the following languages: English (Advanced), German (Elementary).
Maria Shaima has at least 6 years of experience. During this time, Maria Shaima has worked in at least 7 different roles and for 6 different companies. The average length of individual experience is 1 year and 10 months. Note that Maria Shaima may not have shared all experience and actually has more experience.
Based on recent experience, Maria Shaima would be well-suited for roles such as: Master Thesis – Research & Development, Working Student – Research & Development, Student Research Assistant – Quantum Communication.
Maria Shaima's most recent position is Master Thesis – Research & Development at FZI Forschungszentrum Informatik.
In recent years, Maria Shaima has worked for FZI Forschungszentrum Informatik, Fraunhofer Institute – ISI, Emertxe – Institute for Embedded Systems & IoT, Bharat Dynamics Limited, and Ministry of Defence.
Maria Shaima is most experienced in industries like Information Technology, Education, and Automotive. Maria Shaima also has some experience in Aerospace and Defense, Telecommunication, and Manufacturing.
Maria Shaima is most experienced in business areas like Product Development, Research and Development, and Information Technology. Maria Shaima also has some experience in Project Management, Quality Assurance, and Operations.
Maria Shaima has recently worked in industries like Information Technology, Automotive, and Aerospace and Defense.
Maria Shaima has recently worked in business areas like Product Development, Research and Development, and Information Technology.
Maria Shaima holds a Master in Electrical & Computer Science Engineering from Karlsruhe University of Applied Sciences (HKA) and a Bachelor in Electronics & Instrumentation Engineering from College of Engineering.
The availability of Maria Shaima needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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