Currently finishing a master in Data & AI at Polytechnique and HEC. Given my business background, I now merge the technical capacity and understanding with strategic applicable knowledge. and developed strong interest and exposition to the AI ecosystem. I was before Head of Startups & Hackathon for the RAISE Summit.

AI - Product management - Hackathon - Entrepreneur

Founding a company - looking for a cofounder cracked at app development

I’m a Master’s student in Data Science & Artificial Intelligence for Business at École Polytechnique and HEC Paris. Passionate about quantitative finance, I’ve built predictive models for fixed income products and trading strategies using Python and machine learning. I enjoy connecting data, economics, and mathematics to extract actionable insights. My goal is to bridge data science and financial decision-making to create value in a dynamic, responsible way.

Quantitative Research, Financial Data Science, and Trading Strategy Design. I’m interested in connecting with professionals working on market prediction, asset pricing, and sustainable finance using advanced analytics and AI. I also enjoy discussing algorithmic approaches to risk management and portfolio optimization.

Currently developing a predictive model for the 10-year German Bund Asset Swap Spread at BNP Paribas using econometrics and machine learning. Also exploring regime detection methods (Hidden Markov Models, wavelets) to improve fixed-income forecasts and market understanding.

Manfredi Bernardi is a Software Engineer at Alan in Paris, France. With 4 years of experience, he also uses the Twitter handle @fredybtw.

Building an "AI Doctor" at Alan (referenced on arXiv) and an agentic framework. Projects include a travel companion with React Native and Flask, deploying self-hosted LLMs (Gemma 2, Mistral) on Cloud Run GPU, and integrating Gemini and ElevenLabs TTS. Also built a JS-based UTXO model.

I’m a dual-degree student at École Polytechnique and HEC Paris, with hands-on experience in Private Equity, Tech M&A, and startups. I specialize in applying AI and agentic workflows to streamline investment processes, enhance decision-making, and unlock value at scale. At Adagia Partners, I’ve built and deployed proprietary AI tools—ranging from deal origination to legal review—cutting execution time by 2–3x and helping transform the firm into a tech-first investor. My work spans from infrastructure (Azure, GCP) to orchestration (n8n, LangChain) to outcome-driven use cases across portfolio companies. 🔍 I’m particularly interested in roles where AI meets business impact: AI product, tech investing, data-driven strategy, or innovation at scale.

AI

Stealth project + building project that embed ai for myself

Master’s student in Data and Artificial Intelligence at X-HEC, with an engineering background from EPFL. Passionate about innovation, emerging technologies, and their societal impact, I aim to bridge technical excellence with strategic thinking. My interests lie in leveraging data and AI to create meaningful, scalable solutions that drive business transformation and positive change. Curious, analytical, and entrepreneurial, I thrive in dynamic environments where technology meets creativity.

I’m particularly interested in project development, teamwork, and the intersection of business and technology. I enjoy collaborating with diverse teams to turn data-driven insights into impactful solutions. I’m eager to deepen my understanding of business strategy, product development, and AI-driven innovation, while connecting with professionals who share a passion for building scalable, meaningful projects that combine technical excellence and entrepreneurial vision.

I’m currently exploring ideas in entrepreneurship, aiming to build innovative projects that leverage data and AI to create real-world impact. I’m particularly focused on learning more about emerging technologies such as agentic AI, prompt engineering, and autonomous systems. My goal is to combine technical exploration with a startup mindset: experimenting, prototyping, and collaborating to turn cutting-edge AI concepts into practical, scalable solutions.