Description

I’m an AI strategist and technical lead with a strong track record of helping organizations unlock business value through scalable, responsible AI solutions. At NVIDIA, I lead AI enablement initiatives for startups and SMEs, designing strategies that align AI adoption with real-world business goals across sectors including finance, health, and enterprise SaaS. I’ve previously developed and deployed large language models (LLMs) for healthcare, retail, and pharmacy use cases—ranging from custom chatbots and RAG pipelines to fine-tuned, cloud-hosted models for privacy-sensitive environments. I specialize in scoping high-impact AI use cases, building AI agents that support decision-making and operations, and leading cross-functional teams through the full ML lifecycle—from prototyping to performance monitoring. My background combines deep technical fluency (Python, cloud deployment, vector databases) with a strategic lens shaped by experience at Morgan Stanley, Merck Ventures, and as the co-founder of a venture studio focused on AI and innovation.

Languages

English
Native or bilingual
Arabic
Basic

Workplace preferences

Can work on-site

Dubai City (up to 50km)

NVIDIA
Venture Capital Alliance AI Platform and Middle East Lead
August 2024 - Today (1 year and 10 months)
Dubai, United Arab Emirates
• Designed and implemented AI integration strategies and AI-powered ideation frameworks for startups and SMEs in the NVIDIA Inception Program, leveraging design thinking principles to drive process optimisation, cost reduction, and revenue growth to support the organisations strategic goals
• Developed and implemented frameworks for scalable programs to support recruitment and engagement across 1000+ partner firms and 20000+ startups/SMEs, employing AI driven solutions and working with technical teams to pilot and operationalise new tools
• Led the integration of data driven decision making internally for program impact measurement and KPI tracking
• Spearheading NVIDIA's expansion in the MENA venture ecosystem by launching localized AI initiatives and educational sessions to foster adoption and innovation including leading cross-functional workshops with ecosystem partners, including DIFC, to translate advanced AI capabilities into practical applications AI agents, chatbots, and predictive analytics.
• Authored deep-dive industry reports and case studies on generative AI, LLMs, and human centric enterprise adoption, emphasizing responsible innovation and real-world applicability which were published on NVIDIA's LinkedIn page to support AI and digital transformation initiatives for investment firms and portfolio companies.
• Built and managed relationships with senior executives at global investment firms and accelerator programs, aligning NVIDIA's AI offerings with the evolving needs of their portfolio companies for AI and digital transformation.
• Identified and developed high-impact AI use cases across SMEs and startups by evaluating language models (e.g., GPT, Claude) and other emerging AI technologies to improve business performance.
M Ventures, Merck
Tech Research Fellow
May 2024 - October 2024 (6 months)
Frankfurt, Germany
• Lead research and landscape analysis on how large language models will affect current business structures within healthtech, and give rise to new business models
• Devised strategy around how M&A opportunities, strategic investments, and partnerships within the Generative AI space could benefit Merck's current businesses
• Sourced DeepTech, including health, startups for potential investments and partnerships
Morgan Stanley
Quantitative Strategist and Data Scientist
January 2025 - May 2025 (5 months)
New York, NY, USA
• Lead and designed quantitative projects to support trading teams in predicting market movements using AI and ML techniques
• Developed systematic equities forecasting model using NLP and clustering methods to
predict stock prices based on news articles and tweets
• Responsible for working cross functionally across multiple global teams and managing multiple projects simultaneously
• Developed predictive model analyzing behavioral trends in the market and employed SVM outlier detection and Lasso regression for prediction
• Responsible for conducting exploratory analysis on alternative datasets being trialed within the firm using AI techniques such as dimensionality reduction, lagged correlation
evaluation, linear regression
• Developed a suite of predictive analytics for the quantitative trade analytics team by modeling the interactions between 20 assets from a variety of asset classes (futures, FX, commodities, indexes) as a network and using changes in macro-economic network
properties to forecast trends.
• Championed the first use of innovative network science principles within the firm to forecast market trends, generate investment insights, and requested to build similar analytics based on success
• Conducted a retroactive study of the market impact of Covid-19 using causality principles to
help inform study on market trends during crises
• Lead data visualizations projects for New York and London-based trading research teams
such as an alert system for anomalous behavior in several high priority indexes including price changes as a result of corporate events, dividends
• Experience working with financial datasets such as Bloomberg, refinitiv, as well as alternate datasets (news, sentiment)