Fares Soltani
From Seed to Series A: I engineer the automation that makes scaling possible.
In a few words
Between Business and Data
With an elite engineering background from INSAT, I specialize in transforming expensive, manual operations into lean, automated assets. My recent work involves building the entire Data & AI engine for a Series A Fintech, achieving 65% global process automation and ensuring strict financial compliance. I leverage Python, Cloud architectures, and GenAI to build systems that allow scaling revenue without scaling headcount.
International Experience
4 Countries
17 Nationalities
With an international mindset, I'm experienced in collaborating with agile teams across the US, Europe, and MENA. I combine technical autonomy with proactive communication to ensure seamless delivery in global, fast-paced environments.
Science & Impact
Applied Research
Partnered with the DC4 Research Team at Stephen F. Austin State University to address student retention. I leveraged Machine Learning to identify key predictors of academic probation, creating an 'early warning system' for at-risk students that culminated in a published scientific poster
ready for the challenge
Goal-Oriented
Results-driven, I don't just complete tasks: I solve problems to hit specific targets. From research to deployment, I maintain a laser focus on the end goal, ensuring that every technical decision translates into tangible value and efficiency for the business.