Jellysmack helps video creators from content production and editing to social media promotion.

“Warith is a Bible in AI”
Annual performance review from Jellysmack, 2022

At Jellysmack, my team brings best efforts to help the web video creation space with cool projects in computer vision and natural language processing at the service of creators around the world. Our mission is twofold :
  ‣ igniting innovation through applied research prototypes
  ‣ offering research support to other artificial intelligence/machine learning teams by providing fresh, bibliographic, and pragmatic insights
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We aim at inventing and improving the secret sauces, diligently crafting code deliverables, conducting scientific and technology watch, and engaging in internal and external talks.
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Proudest achievement? The video representation project, a combination of multiple kernel learning and Nyström approximation. We meticulously gathered and harmonized the finest video representations available from research. With the invaluable insights from our media experts, we did not only infer our own combined similarity but also engineered fixed-sized vector representations for efficient grouping, retrieval, and prediction.
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Additionally, we believe we revolutionize video editing leveraging the work of our hundreds of professional editors, optimizing rush-to-edit and short conversion processes for platforms like YouTube, Facebook, Instagram and TikTok. By analyzing multiple high-level signals and devising various splitting methods, we provide suggestions to editors, ensuring a seamless and creative editing experience minimizing the time spent on tedious non-artistic tasks.
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Scientifically, it’s intellectually challenging to deal with videos because this medium is multimodal: image, sound, speech, music and motion. In terms of business, these fields is much rewarding when considering the success of videos and reduced time spent to build which clearly define our pragmatic performance indicators.

Executive MBA course for the Rennes School of Business

“An unlikely but incredible duo!”
Student, 2022

Embarking on a transformative journey, Laurent Pantanacce and I carefully craft and deliver a vivid 16-hour Executive MBA course at the Rennes School of Business, titled “Artificial Intelligence for Business”.

This course bridges the chasm between AI academia experts and corporate managers. For managers, CxOs, and tech-savvy AI enthusiasts, the course is designed as a beacon guiding professionals through the labyrinth of AI fundamentals, project management, and real-world application avoiding pitfalls in a sustainable business.

With over 200 slides of constantly updated and tested material, we distill refined knowledge from case studies, practical examples and interactive sessions. The program, which has been rolled out more than three times, is a tapestry weaving together AI basics, challenges, cutting-edge technologies and effective strategies, all aimed at empowering participants to conduct AI projects with confidence and even subtlety for the benefit of customers and sustainable businesses.

With a Ph.D. in applied mathematics and a seasoned tech entrepreneur as instructors, the course is more than a leap of faith; it's a leap to AI mastery and business success.

Ircam Amplify's mission is to make the very best in audio research and musical creation from IRCAM labs available to benefit markets with products.

“Thank you for this great job”
Nathalie Birocheau, founder of Ircam Amplify, 2022

The aim of Ircam Amplify is to blend technology, mathematics and music, creating harmonious solutions that resonate with science and music while striking a chord in the marketplace. In this mission, we looked at maximizing profits on Spotify from our music catalogs.
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This involved crafting innovative algorithms to accurately analyze, encode and price to promote old and new tracks. We leverage the dynamics of data, guiding music lovers on a personalized journey of discovery, while taking into account the latest trends and listener success histories.

By intelligently grouping tracks and encoding them adaptively, and by leveraging Ircam's extensive research capital, we enable artificial intelligence systems to appreciate music. We have also successfully experimented with connecting the news feed to improve suggestions.

VizioSense develops cameras for monitoring and counting that are low-energy, low-bandwidth and respecting privacy by design.

“Warith's expertise in AI and computer vision has been key to shape the R&D team of VizioSense.”
Maxime Schacht, founder of VizioSense, 2021
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VizioSense diligently innovates to launch low-energy, low-bitrate cameras that excel at counting cars on roads and parking lots, but also people in stores for marketing analysis purposes.

Our expertise in AI and computer vision served as the foundation for the team's prosperity and evolution. Since then, VizioSense has not only acquired customers but also earned solid trust - a testament to the relentless pursuit of excellence celebrated from Lille to Paris.

VizioSense has raised millions of euros, fuelling its expansion into the smart camera sector with ingeniously energy- and bandwidth-efficient products. It's a real source of pride to witness their success long after our small contribution.‍

MAP5 is the Applied Math lab of Université de Paris that hosts Warith Harchaoui studying Generative and Discriminative AI for 4 wonderful years.

“A fascinating (and passionate) work which shows a beautiful hindsight on the field.”
Erwann Le Pennec, Professor at École Polytechnique and Ph.D. jury referee, 2021

During four life-changing years at MAP5 (2016-2020) within Université de Paris's applied math lab, Warith delved into the enthralling realm of Generative and Discriminative AI. Engaging deeply with neural networks and deep learning, Warith repurposed these potent tools. His work included pioneering clustering techniques with GANs, adept at organizing vast datasets, like categorizing myriad pixels in extensive photo collections. Warith also explored unsupervised feature importance, revealing distinctive dataset attributes without labels.

Additionally, the academic and corporate work was about methods to assess automated decision reliability, providing a crucial statistical approach for applications needing human oversight. This exploration, merging optimal transport mathematics with neural networks, reevaluated data representation. Thanks to the warmth of MAP5 and the pugnacity of Oscaro, Warith's journey modestly contributed to the field which is immense for him.

Afterwards, bringing home publications from top research conferences and journals brings a mixed feeling of pride, vanity and recognition, but also of course the emboldened drive to fight the next research battle in companies.

Oscaro.com is the worldwide leading e-commerce for car parts.

“This cooperation with the university brought great value to the company I founded, Oscaro, with the product Cerbero.”
Pierre-Noël Luiggi, founder of Oscaro.com, 2020

At Oscaro.com, we participated in innovative initiatives as R&D Data Scientists, seamlessly blending deep learning and artificial intelligence to craft robust solutions. Our work was pivotal in implementing cutting-edge credit card fraud detection mechanisms, significantly mitigating risks and safeguarding transactions. Concurrently, we delved into demand forecasting, utilizing deep learning to accurately predict and adeptly respond to market dynamics, thereby driving efficiency and customer satisfaction.

Credit card fraud detection was a good example of asking ourselves the right questions: at the time, companies used to count errors, our approach consisted in counting the company's money loss. All systems in AI and beyond make mistakes: our job is to handle them in the most meaningful way. Thinking this way completely modifies the way you measure algorithm performances and also the way algorithms are rewarded and thus trained. It's also beneficial for management as the whole chain of command, even without AI knowledge, now understands what is optimized: the company's money. It turns out this approach made our career much easier with companies and clients.

Our role also encompassed AI technology watch, where we diligently monitored and analyzed emerging trends, research, and companies in the AI sphere, ensuring Oscaro.com stayed ahead in the competitive landscape. This commitment to excellence was further underscored by our pursuit of a Ph.D., generously funded from September 2016 to October 2020. Balancing from academic to work environments enriched our AI points of view, both feeding the common intellectual thirst.