I help companies design, build, and scale production-ready AI systems — LLM applications, RAG platforms, AI agents, NLP pipelines, machine learning models, workflow automations, and full-stack AI products. I’m an Expert-Vetted Upwork freelancer, ranked in the Top 1% of talent on the platform, with 12+ years of experience across AI, Data Science, Machine Learning, GenAI, NLP, MLOps, automation, and product engineering. On Upwork, I’ve delivered $400K+ in client work, 60+ jobs, and 8,600+ hours for startups, enterprises, and global clients. My strongest fit is with teams that need more than a prototype. I help clients move from idea to architecture, from architecture to implementation, and from implementation to reliable AI products that can be used in real business workflows. What I can help you build • LLM-powered applications, copilots, and AI assistants • Retrieval-Augmented Generation, or RAG systems • AI agents for research, automation, decision support, and internal operations • Chatbots connected to private company data, documents, and knowledge bases • NLP pipelines for classification, summarization, extraction, matching, and search • Semantic search and embedding-based recommendation systems • Fine-tuning, model evaluation, prompt engineering, and LLM workflow optimization • Machine learning models for prediction, forecasting, clustering, ranking, and anomaly detection • AI automations using Python, APIs, databases, cloud tools, vector databases, and orchestration layers • Technical architecture for AI SaaS products, internal tools, and AI operating systems Why clients work with me I combine senior AI leadership with hands-on technical execution. I can speak with executives about business value, work with product teams on scope and roadmap, and collaborate with engineers on architecture, implementation, deployment, and long-term maintainability. My background includes enterprise AI and Data Science work for companies such as HEINEKEN, Korn Ferry, and SKF, plus 60+ consulting projects across multiple industries and countries. I’ve led Data Science and AI initiatives, built production ML systems, designed GenAI and RAG solutions, and worked across both strategic AI adoption and hands-on engineering. I’m also a founder and full-stack product builder. As the founder, CEO, CTO, and solo developer of Vivai, I built a marketplace platform end to end, including mobile app, backend APIs, PostgreSQL database architecture, search, payments, authentication, partner workflows, cloud deployment, and production operations. Example projects I can support • Build a custom AI assistant over your company documents • Create a RAG system with retrieval quality, evaluation, monitoring, and guardrails • Automate business workflows using LLMs, APIs, scheduled jobs, and human-in-the-loop review • Improve an existing AI product for accuracy, reliability, speed, and cost • Develop NLP classification, extraction, summarization, or semantic search systems • Design the architecture for an AI SaaS product or internal AI platform • Turn a rough AI prototype into a stable, maintainable production system I’m a good fit if you need someone who can understand the business problem, recommend the right AI architecture, and build a practical solution with clean, maintainable implementation. If your goal is to build real AI products — not just demos — I can help you get there.

A good SaaS or AI product needs more than clean screens. It needs a 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗯𝗮𝗰𝗸𝗲𝗻𝗱, 𝗰𝗹𝗲𝗮𝗿 𝗱𝗮𝘁𝗮 𝗳𝗹𝗼𝘄, 𝘀𝗲𝗰𝘂𝗿𝗲 𝗔𝗣𝗜𝘀, 𝘀𝘁𝗮𝗯𝗹𝗲 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗔𝗜 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 that actually fit the business workflow. I help build complete, 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, from backend architecture, 𝗔𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻, 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀, 𝗔𝗣𝗜𝘀, Whether it’s a new idea, a messy existing system, or a half-built MVP, I can turn it into a stable, scalable product 𝗖𝗼𝗿𝗲 𝗮𝗿𝗲𝗮𝘀 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘄𝗶𝘁𝗵: • 𝗙𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗦𝗮𝗮𝗦 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 • 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘄𝗲𝗯 𝗮𝗽𝗽𝘀 and internal tools • 𝗟𝗟𝗠 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 using OpenAI, GPT-4o, Gemini, LangChain, RAG, embeddings, vector search, and structured outputs • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 using Python, FastAPI, Django, Flask, Node.js, Go, and Java • 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 using React, Next.js, Vue.js, TypeScript, and modern UI architecture • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗺𝗼𝗱𝗲𝗹𝘀 using PostgreSQL, MongoDB, Redis, SQLite, Supabase, BigQuery • 𝗔𝗣𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 with webhooks, OAuth, Stripe, PayPal, Twilio, QuickBooks, CRM systems, KYC flows, calendars, and third-party platforms • 𝗖𝘂𝘀𝘁𝗼𝗺 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 using Python scripts, backend workflows, scheduled jobs, ETL pipelines, background workers, and event-driven systems • 𝗘𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗮𝘂𝗱𝗶𝘁𝘀, refactoring, debugging, performance improvements, and production stabilization 𝗧𝗵𝗲 𝗸𝗶𝗻𝗱 𝗼𝗳 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗜 𝘂𝘀𝘂𝗮𝗹𝗹𝘆 𝗯𝘂𝗶𝗹𝗱 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: • SaaS platforms with multi-role workflows • AI copilots and LLM-powered business tools • Admin panels and customer dashboards • Data-heavy internal platforms • API-first backend systems • Custom workflow automation and background job systems • Real-time processing and reporting tools • Payment, communication, CRM, and operations integrations 𝗪𝗵𝗮𝘁 𝗺𝘆 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗼𝗳𝘁𝗲𝗻 𝗮𝗽𝗽𝗿𝗲𝗰𝗶𝗮𝘁𝗲 𝗶𝘀 𝘁𝗵𝗮𝘁 I combine practical product engineering with a strong technical foundation. My background includes a 𝗣𝗵𝗗 𝗶𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, experience at 𝗔𝗺𝗮𝘇𝗼𝗻, and years of building AI-powered applications, scalable backend systems, and data-driven platforms. This combination helps me make sound technical decisions 𝘄𝗵𝗶𝗹𝗲 𝗸𝗲𝗲𝗽𝗶𝗻𝗴 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗴𝗼𝗮𝗹𝘀 𝗮𝗻𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝘂𝘀𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻 𝗳𝗼𝗰𝘂𝘀. 🤝𝙃𝙖𝙫𝙚 𝙨𝙤𝙢𝙚𝙩𝙝𝙞𝙣𝙜 𝙘𝙤𝙢𝙥𝙡𝙚𝙭 𝙮𝙤𝙪’𝙧𝙚 𝙩𝙧𝙮𝙞𝙣𝙜 𝙩𝙤 𝙗𝙪𝙞𝙡𝙙 𝙤𝙧 𝙛𝙞𝙭? 𝙎𝙚𝙣𝙙 𝙢𝙚 𝙖 𝙢𝙚𝙨𝙨𝙖𝙜𝙚, 𝙖𝙣𝙙 𝙬𝙚 𝙘𝙖𝙣 𝙩𝙖𝙡𝙠 𝙩𝙝𝙧𝙤𝙪𝙜𝙝 𝙩𝙝𝙚 𝙗𝙚𝙨𝙩 𝙖𝙥𝙥𝙧𝙤𝙖𝙘𝙝.

I'm a Data Analyst and Machine Learning Specialist with hands-on experience in delivering AI-powered solutions and actionable insights. I specialize in data analytics, web scraping, and predictive modeling, helping businesses make smarter, data-driven decisions. ✅ Skilled in Python, R, SQL, Excel, Google Sheet, Power BI, and statistical analysis ✅ Expert in web scraping and automation (BeautifulSoup, Selenium, Scrapy) ✅ End-to-end solutions: from data collection to insights and visualization ✅ Clean code, scalable workflows, and strong data ethics Whether you need a custom dashboard, a machine learning model, or automated data scraping from websites I can help. Clear communication, timely delivery, and client satisfaction are my top priorities. Let's connect and get started on your next data project!

You're sitting on a mountain of data and still making decisions based on gut feeling. Not because you lack information, but because no one has connected the dots between what the numbers say and what your business should do next. That's exactly what I do. I'm a Data Scientist who specializes in translating messy, complex datasets into clear, revenue-driving insights. Whether you need a predictive model to reduce churn, a dashboard that tells your team where to focus, or an analysis that finally makes sense of your customer behavior, I build solutions that tie directly to your bottom line. What I bring to your project: 🟢 End-to-end data pipelines — from raw data to polished, decision-ready output 🟢 Machine learning models built for real-world performance, not just accuracy scores 🟢 Business-focused storytelling — I explain findings in plain language, not jargon Tools: Python, SQL, Tableau, Power BI, Scikit-learn, TensorFlow, and more I've helped businesses across e-commerce, finance, fintech, FMCG, and health move from "we have data" to "we know exactly what to do with it." If you want data that actually drives decisions, not just reports that collect dust, let's talk.

Hi, my name is Kevin, I help B2B service companies, SaaS teams, agencies and operations-heavy businesses turn messy data, manual workflows and disconnected systems into cleaner, automated business operations. My work sits at the intersection of data science, analytics engineering, intelligent automation and business systems. I use SQL, Python, Power BI, ETL/ELT workflows, APIs, CRM automation and workflow automation tools to help teams clean up their data, trust their reporting and reduce the manual work slowing them down. Core areas I can help with: • SQL, advanced queries, joins, CTEs, window functions, data modeling and query optimization • Python, Pandas, API integrations, automation scripts, data cleaning, transformation and validation • ETL/ELT pipelines, data migration, data ingestion, workflow orchestration and data quality checks • Power BI dashboards, reporting layers, DAX logic, KPI tracking and business intelligence workflows • CRM automation, lead routing, pipeline cleanup, lifecycle stages, follow-up workflows and task automation • HubSpot, Salesforce, Pipedrive, Zapier, Make, n8n, ClickUp, Google Sheets, Airtable and API-based integrations • Data QA, reconciliation, row count checks, threshold checks, deduplication, reporting accuracy and process documentation • RevOps, GTM analytics, marketing analytics, lead management automation, client onboarding and recurring service workflows The problems I usually solve look like this: • Leads come in from multiple channels, but routing, follow-up, scoring and nurturing are inconsistent. • The CRM has useful data, but the pipeline is messy, lifecycle stages are unclear, duplicates keep showing up and the team does not fully trust the system. • Reports exist, but the numbers do not match across Salesforce, HubSpot, Stripe, Google Sheets, Power BI, Looker, or the source database. • Dashboards look fine on the surface, but the SQL logic, data model, or ETL process underneath is weak. • Managers spend too much time chasing updates, checking task status, reminding people what comes next, or manually moving work between tools. • Client onboarding, project delivery, recurring service management, handoffs, reminders and renewal workflows depend on too many manual steps. • Marketing, sales and operations teams need better visibility into KPIs, conversion rates, revenue, pipeline, client delivery and team performance, but the data is scattered across too many systems. I look at the full business workflow, not just one dashboard, script, or automation. I trace where the data comes from, how it moves, where it breaks and what the team actually needs to make faster decisions. Depending on the project, I may write SQL, build a Python workflow, clean and validate datasets, design a Power BI reporting layer, connect SaaS tools through APIs, automate CRM processes, build Zapier/Make/n8n workflows, migrate data, document SOPs, or create a practical automation roadmap. My goal is simple: cleaner data, fewer manual steps, more reliable reporting and business systems that help the team move faster without adding more headcount.

🏆 Top 3% Freelancer on Upwork | AI, Data, and Automation Specialist Hi I'm Marco 👋 I'm a Python developer with over 4 years of hands-on experience building AI systems, automation workflows, and data-driven applications for clients across multiple industries. 🌍 I speak: English, French, Spanish, and Portuguese. 🤖 I use: Cursor, Claude, Hermes Agent. ⭐ Highlights ↳ Developed 5+ MVPs that successfully secured funding. ↳ Completed 45+ Upwork contracts with a 100% Job Success Score. ↳ Built and currently maintain scalable data pipelines for 3+ companies. ↳ Built production-ready Retrieval-Augmented Generation (RAG) systems using modern LLM frameworks and vector databases. ↳ Trained 4+ founders and teams on implementing AI agents. ↳ Configured and deployed Hermes Agent workflows for multiple companies, following security and scalability best practices. ↳ Built custom automation systems powered by LLMs and generative AI for content creation, including avatar videos, images, and social media workflows. ↳ Built 30+ web scrapers on Apify. 🧠 Skills & Tools ↳ AI & RAG Systems: LangGraph, LangChain, OpenAI, ChromaDB, Pinecone. ↳ Hermes Agent: setup, debugging, create custom AI Workflows, Skill integration, Gbrain, MCPs, security best practices. ↳ Automation & Scraping: Playwright, BeautifulSoup, Apify (Actors), Camoufox. ↳ Data Science & ML: Pandas, NumPy, Scikit-Learn, PyCaret, TensorFlow, MMM (Marketing Mix Model), NLP, Optuna. ↳ Dashboards & Visualization: Plotly Dash and Data Studio. ↳ Web Development: FastAPI, Flask, CSS, HTML, Jinja2, Vibe-coding. 🚀 Side Projects ↳ Social Media Automation with Hermes Agent Built 3 custom AI workflows with 7+ integrated skills to automatically generate and publish avatar videos, infographics, and articles on X. ↳ AI Assistant (RAG) for Crypto & Blockchain News Developed a RAG system that continuously ingests, embeds, and retrieves content from multiple crypto and blockchain news sources. ↳ Web3 Analytics Dashboard (Hackathon Winner – €5k Prize) Won a hackathon challenge by building an interactive Plotly dashboard to visualize tokenized assets and blockchain analytics. ↳ AI-Generated Illustrated Books Pipeline Created an end-to-end content generation pipeline that automatically produces illustrated books using generative AI, from story generation to image creation and final assembly. ↳ Enterprise Data Pipelines & Reporting Built and maintained data pipelines connecting APIs, databases, and web scraping systems to analytics dashboards and automated reporting workflows. If you're looking for someone who can build AI applications, automate business processes, develop scalable data systems, or turn an idea into a working product, let's talk. 🤝

Overview: I bring the best of both worlds, advanced AI/ML expertise and robust full-stack development skills. Whether you need a custom GenAI assistant, an ETL pipeline, or a complete data product, I can architect, build, and deploy it end-to-end. What I offer: 1. GenAI platforms with LLMs (OpenAI, Mistral), RAG, VectorDBs, and agents 2. Data engineering with Azure IoT Hub, Data Factory, SQL Server, and Python ETL 3. Dashboard development with React, Flask, and Power BI 4. Full-stack apps using Flask/FastAPI/Django and MERN stack 5. Experience across healthcare, energy, and finance projects Tech Stack: Python, JavaScript, React, Flask, FastAPI, Django, Azure, SQL, OpenAI, AutoML, Power BI, Git

I am a Data Scientist with a decade of professional experience working at a global multi-national where I have been developing innovative data solutions for business value. I help businesses turn complex data into clear, actionable strategies that drive results. With hands-on experience at a leading global formulated products manufacturer, I’ve tackled large-scale challenges in product portfolio management, supply chain raw material optimization, and procurement sourcing strategy. From building ETL pipelines and designing data models to deploying machine learning solutions and creating insightful Power BI dashboards, I bring both technical depth and business acumen to every project. My background as a mechanical engineer means I don’t just analyze data, I understand the processes behind it, ensuring solutions that are both practical and impactful. Skills: Python | SQL | Excel | Power BI | Machine Learning | Data Modeling | Supply Chain Analytics Let’s collaborate to solve your data challenges and unlock new opportunities for your business.

I help growth, SaaS, eCommerce, and healthcare teams answer one question: what is actually driving revenue — and where is budget being wasted? I build Bayesian Marketing Mix Models (Python / PyMC-Marketing) that make their assumptions explicit, show uncertainty honestly, and translate into concrete budget decisions—not just charts. I also audit existing MMM and attribution setups because a model that hides its assumptions or overstates ROI is worse than no model at all. Most measurement work I see fails the same way: it declares a number without proving it. My discipline is the opposite—every ROI, mROAS, or saturation estimate comes with its assumptions, uncertainty, and limits stated up front. What I do • Bayesian Marketing Mix Modeling (MMM): channel contribution, mROAS, adstock, saturation curves, and budget allocation • MMM and attribution audits • Incrementality and lift analysis • LTV, CAC, cohort, retention, and forecasting • Executive-ready dashboards and reporting Stack: Python, SQL, PyMC-Marketing, GA4, Shopify, Google Ads, Meta Ads, BigQuery, Tableau, Looker Studio, Power BI. If you want marketing measurement you can defend in front of a CFO—assumptions visible, uncertainty quantified, and no inflated ROI—let's talk.

I build AI systems that automate real business operations from legal document generation to food distribution logistics using LLMs, RAG pipelines, and multi-agent frameworks shipped to production. If you need an AI solution that actually works outside a Jupyter notebook, you're in the right place. ━━━ WHAT I'VE BUILT (REAL PROJECTS) ━━━ ✦ Legal Demand Letter Generator (SettleWing) RAG pipeline + LandingAI PDF extraction + GPT-4 → reduces legal drafting from hours to minutes. Stack: Django · React · OpenAI · LandingAI · PostgreSQL · Docker · AWS ✦ AI Plant Disease Detection App (Dtreaty) Real-time crop disease diagnosis via computer vision. GPS-tagged outbreak logging for agricultural authorities. Stack: TensorFlow · Flutter · OpenCV · CNNs · GPS API ✦ Multi-Agent LinkedIn & Instagram Content Engines Autonomous content pipelines: trend research → AI copywriting → visual generation → API publishing. Stack: CrewAI · LangGraph · LLaMA 3 / GPT-4 · LinkedIn API · Instagram Graph API ✦ VidWise – YouTube Video Intelligence Agent Transcribes, summarizes, and lets users have RAG-based Q&A conversations with any YouTube video. Stack: LangChain · Whisper · FFmpeg · OpenAI / Claude · RAG ✦ SiteSage – Website Q&A Agent Chat with any website. Ingests web content → semantic embeddings → vector DB → context-bound answers. Stack: Flask · LangChain · ChromaDB / Pinecone · RAG ✦ HRA-FoDAS – AI Food Donation Platform Full-stack mobile platform connecting donors, NGOs, and volunteers with real-time tracking + AI meal planner. Stack: Flutter · Appwrite · Firebase · Riverpod · OpenRouter (LLaMA, Mistral, Gemma) ✦ Subsplash Workflow Automation Automated printer detection + bulk row selection for a document-heavy client workflow. Eliminated manual ops entirely. Stack: Python · Selenium · ChromeDriver ✦ Audio ID + Payments + Notifications Pipeline End-to-end event-driven automation: audio input → Stripe payment → Airtable storage → SMS notification. Stack: Python · Stripe API · Airtable · Webhooks · REST APIs ✦ Smart Agricultural App AI crop health monitoring with real-time disease detection, yield prediction, and eco-farming guidance. Stack: TensorFlow · PyTorch · YOLO · OpenCV · Flutter ✦ AI Auto-Grading System OCR + sentence transformers for automated subjective answer evaluation. Semantic similarity scoring at scale. Stack: Python · Google Vision API · SBERT · Cosine Similarity · Scikit-learn ━━━ WHAT I SPECIALIZE IN ━━━ → LLM Applications — GPT-4, Claude, LLaMA, Mistral via OpenAI / Anthropic / Groq APIs → RAG Pipelines — LangChain, LangGraph, ChromaDB, Pinecone, semantic search → Multi-Agent Systems — CrewAI, LangGraph, stateful orchestration → AI Automation — n8n, Selenium, webhooks, event-driven workflows → Computer Vision — TensorFlow, PyTorch, YOLO, OpenCV, OCR → Mobile AI Apps — Flutter + AI backend integration → Full-Stack Deployment — FastAPI, Django, Docker, AWS, GCP, Firebase ━━━ TECH STACK ━━━ LangChain · LangGraph · CrewAI · OpenAI · Claude API · Groq · LLaMA · Mistral n8n · FastAPI · Django · Flask · React · Flutter · Riverpod · Appwrite Pinecone · ChromaDB · Weaviate · PostgreSQL · Airtable · Firebase Docker · AWS · GCP · Selenium · TensorFlow · PyTorch · OpenCV ━━━ WHO I WORK BEST WITH ━━━ ✔ Startups who need AI built fast and right the first time ✔ Businesses replacing manual processes with intelligent automation ✔ Teams who want a technical partner, not just a coder-for-hire Let's talk about what you're trying to automate or build.