Maxime Jabarian

- Developed a custom chatbot based on LLMs, for Peaks (Aix-en-Provence, Lyon, Reims) assisting 120 employees in their daily work. - Conducted customer segmentation for a client to identify the ideal customer profile for a planned chatbot in claim reporting. - Led a project to create an artistic web application using AI, aimed at demystifying AI for teenagers. - Acted as a speaker for several talks.

What’s Entrepreneur First in few words : - The place where the ambitious come together to build globally important technology companies. - To date it has built over 500 companies and a portfolio valued at over $5bn. - It’s backed by some of the world's best tech founders and investors, including Reid Hoffman (LinkedIn), Greylock Partners, Founders Fund, Demis Hassabis (Google Deepmind) and Taavet Hinrikus (Wise). As an entrepreneur, I delved into various sectors, including MedTech, Space Tech, Cybersecurity, and Al, to develop my startup. During this journey, I achieved the following milestones: - Designed and executed a social targeting tool to reach 1000+ potential customers, VCs, and collaborators. Automated prospect contact via web-scraping code, with personalized messages based on profile. Increased productivity (10x more contacts) and efficiency (6x faster) while achieving a 45% increase in conversion from first contact to first interview. - Conducted more than 30 customer development interviews with top-tier companies such as AXA, Crédit Agricole, worldwide TPEs, Descartes, and Coca-Cola. - Conducted extensive market research to gather business intelligence and insights. - Developed a comprehensive business plan proposal. - Presented my startup's progress and business proposal to other entrepreneurs, the Entrepreneur First team, advisors, and venture capitalists on a bi-weekly basis. - Prototype creation of risk detection, prediction and classification models to improve cyber risk assessment. - Creation of a database of profiles contacted using web-scraping to facilitate project management.

- Development of explanatory and predictive machine learning models for decision support (NLP and image classification). - Assistance in the design and implementation of statistical models. Processing of large volumes of data (Big Data / SQL). - AI projects leader. Predictive revenue and sales models (forcasting / time series), clustering or regression analysis (Python). Deployed machine learning models, or dashboards (PowerBI).

At Cavendish Laboratory and Kavli Institute for Cosmology. I coded a statistic analysis code, based on the Bayesian inferences and a Markov Chain Monte Carlo ( MCMC). Study of the inflation Phase, and simulation of the evolution of the size of the universe as a function of the time (Hubble Horizon), from the Big Bang to today using NASA data (Planck 2018).

Study of the nature of circum-galactic gas and feedback in the radio galaxy 3C326N. Analysis of HST/COS spectra of galaxy 3C-326N, in-depth interpretation of the Ly-alpha line and physico-chemical modeling of turbulent gas in Python language. Use of models of radiative shocks of interstellar plasmas MAPPINGs V and expansion of the galactic interstellar medium MCLya. Supervisors: Dr.Pierre Guillard and Dr. Matthew Lehnert Second internship (2019): I studied the morphologies of the EFIGI galaxies, with the software SkyMaker and SExtractor. The aim is to identify the sources of error in Sextractor's measurements and to present them to the Euclid project engineers responsible for optimizing the software. Sup: Dr. Valerie de Lapparent

This internship of license 2 of physics at the Commissariat of Atomic Energy and Alternative Energies (CEA) on the site of Bruyères le Châtel, I studied the evolution of the stars within our universe. In this way, I applied my theoretical knowledge of electromagnetism and classical physics to better determine the properties necessary for the formation of a star, under the tutelage of Professor Serge Bouquet.

My mission was to test the LambdaCDM and WCDM cosmologies of the Universe at LUTH. Thus, I study the evolution of the size of the cosmic voids according to the redshift in order to constrain the cosmological constants of black energies and dark matter. For this, I created several programs in Python language allowing me to perform data processing and statistical analysis.

During this internship at the Center of Particle Physics of Marseille (CPPM), my mission was to test the cosmological principle. For that, I had to analyze the isotropy and the homogeneity of the Universe in galaxies, using the cartography carried out by Sloan Digital Sky Survey (SDSS), under the tutelage of Dr. Alice Pisani.

Being specialized in the field of physics, it is important for me to broaden my knowledge in new areas such as Management and Business, two subjects that I find particularly interesting for my future professional project, which is to work in the private or public sphere within research in the physical sciences.

This internship at the Laboratory of Astrophysics of Marseille (LAM), focused on the morphology of distant galaxies. Thus, I studied the different properties characterizing the geometry of 78 distant galaxies from a snapshot taken by the Hubble satellite, under the tutelage of Professor Benoit Epinat and Professor Philippe Amram.