Hello, my name is

Montassar Ajam

I'm Montassar Ajam, a Senior Consultant at Capgemini with over 7 years of experience. Specializing in Data Engineering, Generative AI, and MLOps, I'm also Agile-certified and proficient in Python. Skilled in both on-premise and hyperscaler environments, I bring proven business acumen and leadership abilities to the table, with a strong track record in Bids and sales support.

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I'm Montassar Ajam

A Senior Consultant in Insights & Data based in Germany

With a background that spans academic roles at FORWISS Institut to startup innovation at Delivion GmbH, I've risen to a Senior Consultant role at Capgemini. I lead teams across diverse domains like Data Engineering, Generative AI, and MLOps. My multifaceted skill set is backed by Agile certifications and specialized training in data-centric technologies. I excel not just in technical areas—leveraging Python, SQL, and AWS among others—but also in crafting winning business strategies and bids. To learn more, check out my professional experience

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Professional Experience

I've gained a wide range of experience in Data Analytics and Engineering. My journey started at FORWISS Institut, where I worked on academic projects and created tools for computer vision technologies. I then moved to the startup world with Delivion GmbH, offering an advanced data analytics product and a machine-learning-based anomaly detection system. Joining Capgemini marked a big shift in my career, as I've worked on multinational projects across various sectors. This step not only expanded my business knowledge but also let me focus more on data-centric technologies, fine-tuning my skills to meet client needs. I'm currently leading teams to bring Generative AI solutions into real-world use.

Oct. 2022 - Present : Senior Consultant at Capgemini Deutschland GmbH

Business Leadership: Strategy, Bids, Sales, Proposals

Team Leadership: Confidently leading a dedicated team, instilling a culture of excellence and continuous growth

Technical Expertise: GenAI, Data Science, Data Engineering, Cloud Computing

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Apr. 2020 - Sep. 2022: Lead Consultant at Capgemini Deutschland GmbH

Industry Specialization: Automotive Industry (ADAS & Supply Chain)

Technical Expertise: Big Data, HPC, ETL, AWS, Data Engineering, AI, MLOps

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Mar.2019 - Mar.2020 : Applications Consultant at Capgemini Deutschland GmbH

Technical Expertise: Data Engineering & Data Science

Business Contributions: Active in Sales Support Roles

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Nov.2017 - Feb.2019: Data Scientist at Delivion GmbH

Technical: ML, Anomaly Detection, Visualization

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Apr.2016 - May 2017 :
Research Assistant at FORWISS Institut

Technical: Worked on academic projects involving deep learning and computer vision

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Education

After obtaining my Baccalaureate degree in Mathematics with Highest Honors, I entered a preparatory cycle for engineering studies in Tunis. My focus areas were Mathematical Analysis and Algebra. After completing this two-year cycle, I took and passed the national exam for entry into Tunisian engineering schools, achieving a Top-100 ranking among thousands of competitors. This allowed me to attend the most prestigious ICT engineering school in Tunisia. In 2015, I opted for a double-degree program between Sup'com and the University of Passau. After two years, I earned my Tunisian ICT Engineering Degree and an M.Sc. in Computer Science from the University of Passau, with a final grade of 1.6.

2015-2017 : University of Passau

Double degree program:
M.Sc. computer science.
Master note : 1.6
Focus Area: complex and intelligent systems

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2013-2015 : Higher School Of Communication Of Tunis (Sup’com)
computer and telecommunications engineering degree.

Focus Area: signal and image Processing

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2011-2013 : Preparatory Institute For Engineering Studies Of Tunis (IPEIT)
1st cycle of university studies’ diploma: Mathematics.

National rank: 79 / 4000 candidates.

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Skills

With over 7 years of experience, I've led diverse teams from Data Engineering to Generative AI and MLOps, ensuring end-to-end project delivery. My journey has taken me from academic roles at FORWISS Institut to startup innovation at Delivion GmbH, and now to enterprise solutions at Capgemini. This trajectory has equipped me with a multifaceted skill set. In the realm of Generative AI, I've completed in-depth projects, leveraging tools like Langchain. I also have proven leadership and business acumen, backed by Agile certifications, with key skills in team management, CI/CD, Git, Bids, and sales support. On the technical side, I specialize in Python and SQL, focusing on architectural patterns like API-Design and Software Architecture. When it comes to infrastructure and Hyperscalers, I'm proficient in AWS, Terraform, Docker, Kubernetes, Airflow, Elastic Stack, and Ansible. I'm also skilled in Data Management & Libraries, working with FastAPI, Numpy, Pandas, Spark, Dask, and various databases like MySQL and Postgres.

Team Leadership & Business Acumen
90%
Bids, Sales support & Presentations
90%
Generative AI & Machine Learning
90%
Agile Practices & Productivity Tools (PSM I & PSPO I Cert., Git, Jira, Bitbucket)
95%
Python, SQL & Backend Dev (Fast API, API Design)
90%
Cloud & DevOps (AWS, Terraform, Kubernetes, CI/CD, Ansible, Docker)
85%
Data Engineering & Libraries (Numpy, Pandas, Apache Dask)
90%
Databases & Big Data Ecosystem (MySQL, Postgres, HDFS, Hive, Spark)
80%
Architectural Patterns (Software Architecture)
80%

My Technical Portfolio

Here, I showcase select results from various private projects I've completed.

  • All
  • Generative AI
  • Computer Vision
  • Machine Learning
  • Visualisations
  • Image processing
  • Text Mining
  • Research
  • Cloud
  • DevOps
  • Generative AI: A productive solution based on OpenAI ChatGPT model
    A screenshot displaying the GenAI app I implemented, which utilizes a productive architecture and a RAG system to add an augmented layer over the foundational knowledge.
  • Road regions detection based on image processing and machine learning' classification models (Advanced driver-assistance systems).
    The Frame is describing the positions of support vectors mapped and located after I have trained an SVM classifier to detect road regions in
    real-time street frames.
  • Learning Sentiment-Specific Word embedding for Twitter Sentiment Classification.
    A Visualisation showing the distribution of word vectors in a lower dimentional 2D feature space using T-SNE and Bokeh after I did use the Deepnl library to embed effectively words based on their spatial but also semantic context.
  • Real time smoke detection based on Texture and color Descriptors (fr : Détection en temps réel de la fumée.

    A frame showing the end results of a computer vision-based smoke detector I developed in Signal and Image Processing Lab Tunisia, which is based on Local Binary Pattern and color descriptors as well as on image processing thresholding rules.
  • Image Compression with deep neural networks (Compressive Autoencoders).
    A survey scientific paper which I have written to discuss the usage of neural networks and specifically deep learning autoencoders as alternatives to most common compression techniques such as JPEG standard, the paper showed that compressive autoencoders are able to surpass JPEG performance in many cases.
  • Elastic Stack
    (1) Build dashboards and advanced log visualizations and extract meaningful information (KPIs, business insights, etc.).

    (2) set up an Elastic Stack-based Platform for Log centralisation from multiple data sources.
  • Cloud Projects
    (1) Cloud Migration of an On-premise HPC Platform using Lift & Shift approach and Azure cloud-native services.

    (2) Benchmark the cost and performance of using GPU acceleration in Data Science projects in Cloud (AWS Sagemaker) and On-premise contexts.
  • DevOps / DataOps
    (1) Roll out a large scale HPC Mapr Cluster into production (Ansible, Docker, Airflow, Dask, Yarn, Elastic Stack, Postgresql, Load balancing & High availability, Networking, Monitoring)

    (2) Re-architecture a fraud detection product to use a microservices- and docker-based approach. Extend the automation process of the deployment and testing of the solution. Enrich CI/CD pipelines. Implement a Performance testing app for the Graph Visualisations Workloads. Create functional and non-functional testing reports of the system.
  • Productivity
    (1) Acquired an expertise level in many productivity tools and mainly PyCharm and most Atlassian software

    (2) Worked in multiple Agile projects and took the responsibility in several occasions of the product owner and/or scrum master roles

Languages.

I am proficient in four languages. Arabic is my native language, and I am bilingual in French. In addition, I have an advanced level of English, validated by a TOIEC score of 915, which is categorized as 'Very Good'. I am also highly skilled in German and have received a 'Good' rating on my VHS certificate.

Arabic
100%
French
100%
English
90%
German
85%

Contact Me

Feel free to reach out to me. I'm open to your feedback and discussions on data-driven systems, eager to share my expertise.

You are very welcome to reach out via email or phone if you're interested in collaborating on innovative ideas for people.

Stuttgart, Germany

montassar.ajam@gmail.com

+49 178 321 78 31