Hi, I am Hadil BEN AMOR
I am a Tech Passionate
I am a Tech Passionate
Artificial Intelligence and Automated Testing Engineer
I'm a graduate engineer with a passion for AI engineering and
a strong affinity for Quality Assurance (QA) and automation.
In my career journey, I've honed my skills in AI engineering, specializing in the
development of machine learning models and automation solutions.
I find immense satisfaction in creating intelligent systems that can make processes more efficient and reliable.
In my AI engineering endeavors, I've embarked on several impactful projects that showcase my expertise,
leveraging deep learning techniques.
My technical expertise extends to a wide array of programming languages and technologies.
I'm proficient in Python and C++, and I've leveraged these skills to build robust QA automation solutions.
I take pride in my ability to create automated tests that ensure software quality and streamline the testing process.
As an AI engineer, I believe that combining a strong technical foundation with a keen eye for testing can lead
to the creation
of AI-driven applications that not only function flawlessly but also offer an exceptional user experience.
Additionally, I share a deep love for problem-solving, much like my coding counterparts.
I am always trying to dedicate a significant time to enhancing my problem-solving skills and mastering various algorithms
and data structures.
In summary, I'm an AI engineer who thrives on innovation, excels in QA and automation,
and is always eager to learn and grow in the ever-evolving tech landscape.
My passion for AI engineering, coupled with my project accomplishments and dedication to problem-solving,
drives my commitment to pushing the boundaries of what technology can achieve.
Apart from tech, you will see me reading books or drinking coffee!
I'm passionate about crafting innovative solutions that leverage cutting-edge technologies.
My journey in the realm of Artificial Intelligence has been marked by a constant quest for knowledge and practical
experience.
I firmly believe that the most effective way to excel in AI is by diving into real-world projects that turn
theoretical concepts
into tangible, functional applications. This not only boosts my confidence but also elevates the quality of my
work, fostering a culture of meticulous documentation and continuous learning. Also, I thrive on extracting
valuable insights from data to drive informed decision-making. My commitment to excellence in this field drives
me to explore new statistical models, data visualization techniques, and machine learning algorithms.
QA is another facet of my interests, where I've honed my abilities to ensure software products meet the
highest standards. My approach involves meticulous testing, test automation, and a dedication to delivering
bug-free, user-friendly applications. I find that consistent testing practices not only enhance the reliability
of software but also lead to more efficient development processes.
In every aspect of my journey, whether in AI or QA, I'm dedicated to pushing boundaries, embracing innovation,
and contributing to the advancement of these fields.
I am proud to share that I have had the privilege of being a featured speaker at two prestigious global conferences, where I had the opportunity to share my insights on AI topics.
Additionally, I have conducted over 15 informative and engaging training sessions,
centered around the fascinating world of Artificial Intelligence.
These experiences have not only allowed me to contribute to the AI community but have also enriched my
understanding of this dynamic field. I am passionate about spreading knowledge and fostering discussions, and
I look forward to continuing to do so in the future.
I've also had the privilege of experiencing the roles of both mentor and mentee.
These dual perspectives have allowed me to witness the dynamic evolution of tech from multiple vantage points.
As a mentor, I've had the rewarding opportunity to guide and inspire aspiring AI enthusiasts,
witnessing their growth and contributions to the field. Conversely, as a mentee,
I've eagerly sought knowledge and guidance from seasoned experts, continuously expanding my horizons
and honing my skills.
The objective of this work is to classify the excep-
tion logs through natural language processing and deep learning.
The developed code will
extract the exception logs from ’Allure Report’, the graphical user interface component of
the framework ’Allure’ used by the Quality Assurance (QA) team in visualizing their tests
results, after every running build in Jenkins pipeline and explore multiple layers of analysis,
delving beyond surface-level categorization through deep classification.
Worked with Automated ML to solve a classification problem and predict the diagnosis of breast cancer.
I Used Azure machine learning to rely the PowerBI desktop with my previous deployed model to predict the
diagnosis.
I visualised the actual and predicted diagnosis values using Power BI, saved the report and published it to PowerBI service’s dashboard
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