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alexgenovese/README.md

Hi 👋, I'm Alex Genovese

AI & Data Entrepreneur | MarTech & E‑commerce | Generative AI, RAG & Marketing Analytics

Turning AI, data and MarTech stacks into measurable revenue and orchestrated customer journeys

alexgenovese

alexgenovese


🚀 About Me

Serial founder and CTO with 22+ years in full‑stack innovation, generative AI and data analytics.
I focus on building and scaling AI‑powered MarTech & e‑commerce products that go from prototype to millions of monthly API calls in production.

🎓 Harvard Business School Online — Business Analytics Certification
🌟 Expert-Vetted AI Innovator | RAG & Generative AI Specialist | LLM Advisor & Builder


🎯 For Founders & C‑Level

I work with founders, CMOs and CROs to:

  • Design AI & data roadmaps that connect directly to revenue and efficiency
  • Orchestrate MarTech stacks (CRM, CDP, ESP, ads, analytics, LLM layer) around the customer journey
  • Turn unstructured and behavioral data into predictive and generative use cases
  • Ship MVPs fast, then scale to reliable, compliant production systems (EU/US, GDPR‑ready)

Open to: fractional CTO / Head of AI & Data for MarTech & e‑commerce products in US/EU.


🔭 Focus 2025–2026

  • Generative AI for marketing, creative workflows and customer experience
  • RAG & AI agents for retail and e‑commerce personalization
  • Marketing & revenue analytics (LTV, CAC, ROAS, attribution, churn, uplift)
  • MarTech stack orchestration and data foundation for AI use cases

💼 Career Journey

🚀 Founder @ Reica (Jun 2023 – Present)

Democratizing generative AI for brands and creators. Deploying diffusion models & text-to-image technology.

  • >7M monthly API calls in production environments
  • 35% productivity gains and 25% cost efficiencies in MarTech/e-commerce
  • Fine-tuned AI models for vertical markets (fashion, beauty, e-commerce)
  • Currently seeking strategic investors for international expansion

📈 Founder @ Growth Marketing (Nov 2021 – Nov 2024)

Data-driven marketing agency with 50+ clients, focusing on paid advertising, marketing automation, and CRO.

  • Plug-in growth squads for fastest-growing brands in Consumer, Fashion, Beauty & Cosmetics
  • Matrix experimentation tests and multi-channel marketing automation
  • High-converting user experiences driving ROI optimization

💼 Growth Consultant (Jun 2019 – Nov 2021)

Freelance consultant helping companies boost e-commerce sales through automated funnels and ML-driven insights.

  • Data analysis transformed into actionable automated sales funnels
  • Marketing automation and machine learning to boost sales

🎯 Product Manager & CRO @ FiloBlu (Jul 2018 – Jun 2019)

Led data-driven marketing architecture leveraging Google Cloud partnership.

  • Designed hybrid CDP on GCP, aggregating customer behaviors into BigQuery
  • ML algorithms for LTV/CLV, purchase predictions, RFM segmentations
  • Premium brand clients & results:
    • Collistar: +12% online sales, +15% conversion via AI personalization
    • Elisabetta Franchi: +15% e-commerce growth via CRO/BigQuery
    • Lotto: +18% online sales with data strategies
    • O bag: +10% sales, -18% cart abandonment via predictive analytics
    • Moleskine, Santoni, Zanellato, Antony Morato and more

🏗️ Founding Member / CTO @ Hubstrat (Mar 2013 – Jun 2018)

Co-founded digital group with 30% YoY revenue growth, managing teams up to 20 professionals.

  • Digital marketing strategies using Business Model Canvas methodology
  • Collaborated with startups and companies exceeding €30M revenue
  • Key clients: PepsiCo, Hitachi Rail Italy, Aran World, Ditron (+18% revenue)

🛍️ Founder @ That's Amore Italy (Oct 2016 – May 2018)

Startup for selling handcrafted Italian products across Europe.

  • User research and e-commerce platform development
  • Achieved MVP and market fit

📱 Founder @ Reguard (Jan 2016 – Mar 2018)

SaaS platform for franchisors to manage social content and retailer communication.

  • Product management and go-to-market strategy

📊 Selected AI & Data Outcomes

Use Case / Context Result & Impact
Nordic e‑commerce (RFM / ML) 5x sales in 3 months via clustering & personalized flows
Fashion sector (predictive insights) 3x uplift in key revenue metrics
ROAS optimization (BigQuery/DF) +40% ROAS by unified data layer & spend reallocation
Team leadership Led up to 150 cross‑functional members in Agile Scrum
Delivery reliability 90% on‑time delivery on complex, data‑heavy projects

🧩 MarTech & Data Stack Orchestration

Recent work includes:

  • Designing customer data foundations (CDP, tracking, schemas) to feed AI & analytics
  • Integrating CRM, ESP, ad platforms, analytics and LLM services into cohesive journeys
  • Implementing predictive scoring (churn, LTV, next best action) and generative content flows
  • Ensuring GDPR‑compliant data flows for EU/US operations

If you’re building or refactoring a MarTech stack and want AI‑ready architecture from day 0, that’s where I help most.


🧪 Open Source & Experiments

I maintain and contribute to projects around:

  • RAG workflows for retail product recommendations (Shopify, n8n, vector DBs)
  • AI-assisted marketing orchestration and campaign automation
  • Data pipelines for marketing & revenue analytics (BigQuery, Dataflow, ML models)
  • Custom LoRA models and serverless ComfyUI solutions for creative workflows

🔧 Core AI Competencies

Area Technologies
RAG & Knowledge Systems Vector embeddings, Faiss, Pinecone, Qdrant
LLM Fine-tuning & Deployment GPT, LangChain, RLHF, Prompt Engineering
Generative AI LoRA models, Flux Dev, Text-to-Image workflows
AI Infrastructure TensorRT, Kubernetes, AWS/GCP serverless
Full-stack Python, Node.js, React, FastAPI

🔗 Selected articles & use cases from my blog:

  • How RAG is revolutionizing retail product recommendations
  • Building an n8n RAG workflow for Shopify product discovery
  • The 9 essential marketing KPIs for 2025 & how to operationalize them in your data stack

(Each article is paired with code or architecture examples in my repos.)


🧠 Strategic & Leadership Skills

  • AI & data strategy: From ideation to roadmap, including use-case prioritization and business cases
  • MarTech & data governance: Aligning marketing, product and data teams on a shared operating model
  • Change leadership: Enabling non-technical teams (marketing, sales, CX) to adopt AI-driven workflows
  • Enterprise collaboration: Experience with global players such as Luxottica North America, D-Orbit (500+ employees), PepsiCo, Hitachi Rail, and premium fashion brands

⭐ What Others Say

"Alex is a wizard with AI and growth strategies! His ability to merge marketing and AI-driven solutions is unmatched."

"Working with Alex is a game-changer! His expertise in RAG and LLMs brought clarity and innovation to our business."


🎓 Certifications & Courses

Certification Issuer Year
Machine Learning Engineer (in progress) Google Cloud Skills Boost 2025
Professional ML Engineer Certification (in progress) Google 2025
Innovation Manager & Ambassador ENTD® E.N.T.D. 2023
Google Analytics Advanced Google 2020
Applying ML to Data with GCP Coursera/Google 2019
Product Marketing for Technology Companies CXL 2019
Marketing Analytics Darden School of Business / FutureLearn 2019
Achieving Advanced Insights with BigQuery Coursera/Google 2019
Google Cloud Big Data & ML Fundamentals Coursera/Google 2019
Creating BigQuery Datasets & Visualizing Insights Coursera/Google 2019
Machine Learning Stanford University / Coursera 2018
The Complete Product Management Course Udemy 2018
Mastering Business Models & Value Propositions Strategyzer 2014

Ongoing focus: Cloud-native AI (Vertex AI, AWS), AI for marketing, data privacy & governance


🛠️ Core Technologies

AI/ML & Generative AI

Cloud & Infrastructure

Full‑Stack Development

Data & Analytics


🌍 Languages

  • 🇮🇹 Italian (Native)
  • 🇬🇧 English (Professional)

📝 Latest Blog Posts


🤝 Connect with me

Dev.to · Twitter · LinkedIn · Kaggle · Medium


📈 GitHub Stats

alexgenovese

alexgenovese


🎯 Open to fractional CTO / Head of AI & Data roles in MarTech & e‑commerce (US/EU)
Let’s build AI products and data foundations that your marketing and growth teams actually use.

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  1. diffusion-models-benchmark diffusion-models-benchmark Public

    The benchmark will evaluate the best realistic and detailed output, inferencing using the base model and LoRA custom model

  2. datasets datasets Public

    Forked from tensorflow/datasets

    TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

    Python