I’m Mohammed Kerraz, a client-facing AI consultant and engineer with hands-on experience delivering AI solutions across industries. I’ve worked directly with business stakeholders in commodity trading desks and venture capital teams to translate complex needs into high-impact AI prototypes and scalable platforms. I thrive in fast-paced environments where collaboration and pragmatic experimentation unlock measurable value. I specialize in agile delivery, technology scouting, and AI productization, bridging strategy, execution, and real-world adoption. I enjoy turning ambitious ideas into practical AI-enabled products, guiding stakeholders from discovery through production and adoption while keeping a sharp eye on risk, ethics, and governance.

Mohammed Kerraz

I’m Mohammed Kerraz, a client-facing AI consultant and engineer with hands-on experience delivering AI solutions across industries. I’ve worked directly with business stakeholders in commodity trading desks and venture capital teams to translate complex needs into high-impact AI prototypes and scalable platforms. I thrive in fast-paced environments where collaboration and pragmatic experimentation unlock measurable value. I specialize in agile delivery, technology scouting, and AI productization, bridging strategy, execution, and real-world adoption. I enjoy turning ambitious ideas into practical AI-enabled products, guiding stakeholders from discovery through production and adoption while keeping a sharp eye on risk, ethics, and governance.

Available to hire

I’m Mohammed Kerraz, a client-facing AI consultant and engineer with hands-on experience delivering AI solutions across industries. I’ve worked directly with business stakeholders in commodity trading desks and venture capital teams to translate complex needs into high-impact AI prototypes and scalable platforms. I thrive in fast-paced environments where collaboration and pragmatic experimentation unlock measurable value.

I specialize in agile delivery, technology scouting, and AI productization, bridging strategy, execution, and real-world adoption. I enjoy turning ambitious ideas into practical AI-enabled products, guiding stakeholders from discovery through production and adoption while keeping a sharp eye on risk, ethics, and governance.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent
French
Advanced

Work Experience

AI Portfolio Intelligence Engineer at Omega Wealth Management
September 1, 2025 - December 1, 2025
Leading a team of 3 engineers to build a macro regime intelligence platform using AI agents that delivers portfolio insights, risk signals, and tactical allocation guidance across equities, bonds, FX, and commodities. Developed a full stack platform with real time dashboards, market data pipelines, and automated macro commentary.
Founding Engineer — Agentic VC Intelligence at Deepflows.ai
February 1, 2025 - August 1, 2025
Built a LangGraph multi-agent system to automate market analysis for VC decision-making. Led discovery discussions with 15+ venture capital clients to surface investment and research use cases, and tailored an agentic AI platform to directly support their decision-making. Acted as the bridge between clients and engineering, ensuring delivered features aligned with real-world VC workflows and expectations.
AI Transformation Consultant — Energy & Commodity Trading at TotalEnergies Trading
April 1, 2024 - January 1, 2025
Acted as a client-facing AI consultant to commodity trading desks, translating business needs into rapid proofs of value and production-ready prototypes with AI agents. Led technology scouting and benchmarking of emerging AI vendors for commodity trading, contributing to strategic evaluations, with two shortlisted solutions subsequently acquired. Designed and maintained a Technology Radar to assess AI maturity and adoption readiness, working closely with desks and external partners to support digital transformation initiatives.
Internship for LLMs in stock market forecasting at National Institute of Informatics of Tokyo (NII)
November 1, 2023 - March 1, 2024
Research role: Selected for the National Institute of Informatics (NII) competitive research program amongst 150 candidates. Enhanced LLMs for time series forecasting, improving predictive accuracy by 10% through declarative prompting and fine-tuning on financial data. Developed a novel algorithm for detecting support and resistance lines in financial charts.

Education

Master Thesis at Harvard Medical School
February 1, 2024 - September 1, 2025
MSc Data Science at École Polytechnique Fédérale de Lausanne (EPFL)
September 1, 2022 - September 1, 2025
BSc Computer Science at École Polytechnique Fédérale de Lausanne (EPFL)
September 1, 2019 - July 1, 2022

Qualifications

AWS Cloud Practitioner
January 11, 2030 - February 2, 2026
Model Context Protocol (MCP)
January 11, 2030 - February 2, 2026
FDA Biomedical Ethics
January 11, 2030 - February 2, 2026

Industry Experience

Financial Services, Professional Services, Energy & Utilities