Aly SEGNANE

I'm a self-taught AI engineer, and like every job seeker, I've lived the grind: hours lost on job boards hunting for postings that matched my profile, rewriting the same cover letter, filling the same forms — all that time I wanted to spend on what I love most: building and upskilling. So I built the tool I wished existed. AutoPostule is the first AI-agent platform in France dedicated to job searching. It scans postings, writes genuinely personalized cover letters, and applies on your behalf. Easy to use: launch it, and watch the agents apply to up to 25 jobs a day. Under the hood, it's a multi-agent system built on LangGraph, supporting multiple job boards. But the real value is in the time it gives you back — so you can focus on what matters most: networking, interview prep, and upskilling. Test it at: www.autopostule.com

A private tutor, helping high school students improve in math, physics, and chemistry.

Studied hydro-mechanical behaviors of backfill materials for the French geological disposal of long-lived radioactive waste - CIGEO Project managed by Andra - Used non-destructive methods such as electrical resistivity and ultrasonic P-wave velocity to characterize the materials at different saturation levels - Implemented tomographic simulations of the materials for both resistivity and ultrasonic methods using ResIPY and Tomsis respectively - Benchmarked both methods and selected the electrical method because of its robustness, its ease of implementation, and its ability to provide better contrast for distinguishing between different phases (non-saturated and saturated)

Streamlined post-processing workflows for EnHM reservoir simulation data - Created reusable templates using Tempest Enable, an in-house post-processing tool used to visualize simulation results. - Performed reservoir simulations and processed the resulting data — including collection, cleaning, and reformatting — using Python, SQL, and DAX. - Automated post-processing workflows by developing interactive Power BI dashboards, reducing visualization time by over 50% compared to Tempest.