Fares Kallel - Research Assistant – AI & Computer Vision

Q: Where is Fares based?

Fares is based in Berlin, Germany .

Q: What languages does Fares speak?

Fares speaks the following languages: Arabic (Native), French (Native), German (Advanced), English (Advanced) .

Q: How many years of experience does Fares have?

Fares has at least 6 years of experience. During this time, Fares has worked in at least 4 different roles and for 4 different companies . The average length of individual experience is 2 years and 7 months . Note that Fares may not have shared all experience and actually has more experience.

Q: What is Fares's latest experience?

Fares's most recent position is Research Assistant – AI & Computer Vision at Iris-Sensing GmbH .

Q: What companies has Fares worked for in recent years?

In recent years, Fares has worked for Iris-Sensing GmbH , Biotronik , DFKI (German Research Center for AI) , and FZI (Research Center for Information Technology) .

Q: Which industries is Fares most experienced in?

Fares is most experienced in industries like Information Technology (IT) , Automotive , and Healthcare .

Q: Which business areas is Fares most experienced in?

Fares is most experienced in business areas like Research and Development (R&D) , Product Development , and Information Technology (IT) .

Q: Which industries has Fares worked in recently?

Fares has recently worked in industries like Information Technology (IT) , Automotive , and Healthcare .

Q: Which business areas has Fares worked in recently?

Fares has recently worked in business areas like Research and Development (R&D) , Product Development , and Information Technology (IT) .

Recommended expert

Berlin, Germany

Experience

Jan 2023 - Jul 2025

2 years 7 months

Berlin, Germany

Research Assistant – AI & Computer Vision

Iris-Sensing GmbH

Designed and implemented a real-time perception pipeline using YOLOv7 on Time-of-Flight (ToF) sensor data, enabling live streaming, inference, and on-frame visualization for passenger detection.
Fine-tuned and evaluated multiple state-of-the-art monocular depth estimation models for Automatic Passenger Counting (APC), and developed a custom hybrid depth model that improved depth accuracy in challenging scene regions.
Demonstrated that model-generated depth maps outperform raw sensor depth for APC tasks across several datasets, contributing to measurable reductions in counting error.

Jan 2022 - Dec 2022

1 year

Berlin, Germany

Research Assistant – Medical AI

Biotronik

Investigated anomaly detection methods for biomedical sensor signals and evaluated early-stage model-based detection approaches.
Prototyped signal-processing and analysis workflows in Python using PyTorch and NumPy to support internal research experiments.

Mar 2021 - Dec 2021

10 months

Berlin, Germany

Research Assistant – NLP & Machine Learning

DFKI (German Research Center for AI)

Extracted and engineered a wide range of lexical, semantic, and syntactic features for German text complexity assessment using spaCy-based NLP pipelines.
Built regression-based readability prediction models and contributed to feature selection, model evaluation, and dataset analysis.
Co-authored a peer-reviewed paper published at LREC 2022 (Subjective Text Complexity Assessment for German), contributing to feature design, modeling experiments, and interpretation of results.

May 2019 - Mar 2021

1 year 11 months

Karlsruhe, Germany

Research Assistant / Intern – Software Engineering

FZI (Research Center for Information Technology)

Contributed to early-phase software research projects, including UI components, backend logic, and security-related modules using Java and model-based development tools.

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Automotive (2.5 years), Information Technology (2.5 years), and Healthcare (1 year).

Automotive

Information Technology

Healthcare

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 Research and Development (6 years), Product Development (4.5 years), and Information Technology (2 years).

Research and Development

Product Development

Information Technology

Summary

AI Engineer with a broad background in applied machine learning, combining research experience with real-time deployment.
Experienced across depth estimation, sensor-based perception, and NLP/medical AI, supported by strong academic performance (two theses graded 1.0).
Track record of fine-tuning state-of-the-art models and translating research ideas into practical AI systems and proofs of concept in research and industry settings.

Skills

Programming: Python, C++, Bash, Sql, Git, Linux
Deep Learning: Pytorch, Tensorflow, Huggingface (Transformers, Diffusers), Scikit-learn, Numpy, Pandas, Opencv, Pytorch3d
Ai Domains & Methods: Computer Vision (Monocular Depth Estimation, 3d Vision, Object Detection), Generative Modeling (Diffusion Models, Flow Matching Models, Vaes, Gans), Nlp (Feature Extraction, Readability Modeling), Image Processing, Real-time Perception, Transfer Learning, Fine-tuning, Prompt Engineering
Mlops & Tools: Mlflow, Wandb, Docker, Fastapi, Pytest, Vscode
Cloud & Infrastructure: Aws (Ec2, S3, Iam, Lambda, Ecr), Kubernetes, Postgresql, Gstreamer

Languages

Arabic

Native

French

Native

German

Advanced

English

Advanced

Education

Oct 2021 - Jun 2025

Technical University of Berlin (TU Berlin)

Master of Science, Electrical & Computer Engineering, Focus: Artificial Intelligence & Machine Learning · Electrical & Computer Engineering · Berlin, Germany

Oct 2016 - Jun 2020

Karlsruhe Institute of Technology (KIT)

Bachelor of Science, Electrical Engineering & Information Technology · Electrical Engineering & Information Technology · Karlsruhe, Germany

Profile

Created

November 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Fares based?

Fares is based in Berlin, Germany.

What languages does Fares speak?

Fares speaks the following languages: Arabic (Native), French (Native), German (Advanced), English (Advanced).

How many years of experience does Fares have?

Fares has at least 6 years of experience. During this time, Fares has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 2 years and 7 months. Note that Fares may not have shared all experience and actually has more experience.

What roles would Fares be best suited for?

Based on recent experience, Fares would be well-suited for roles such as: Research Assistant – AI & Computer Vision, Research Assistant – Medical AI, Research Assistant – NLP & Machine Learning.

What is Fares's latest experience?

Fares's most recent position is Research Assistant – AI & Computer Vision at Iris-Sensing GmbH.

What companies has Fares worked for in recent years?

In recent years, Fares has worked for Iris-Sensing GmbH, Biotronik, DFKI (German Research Center for AI), and FZI (Research Center for Information Technology).

Which industries is Fares most experienced in?

Fares is most experienced in industries like Information Technology (IT), Automotive, and Healthcare.

Which business areas is Fares most experienced in?

Fares is most experienced in business areas like Research and Development (R&D), Product Development, and Information Technology (IT).

Which industries has Fares worked in recently?

Fares has recently worked in industries like Information Technology (IT), Automotive, and Healthcare.

Which business areas has Fares worked in recently?

Fares has recently worked in business areas like Research and Development (R&D), Product Development, and Information Technology (IT).

What is Fares's education?

Fares holds a Master in Electrical & Computer Engineering from Technical University of Berlin (TU Berlin) and a Bachelor in Electrical Engineering & Information Technology from Karlsruhe Institute of Technology (KIT).

What is the availability of Fares?

Fares is immediately available full-time for suitable projects.

What is the rate of Fares?

Fares's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.