I turn messy environmental, agricultural and geospatial data into decisions. Not just maps and shapefiles, the forecast, the dashboard and the answer your team can act on. I am a Data Scientist and Forest Engineer with 10+ years of experience. I currently lead the Data Intelligence area for the Planning Advisory Department at IDR-Paraná, where my pipelines support 399 municipalities and inform an agricultural and forestry sector worth billions. In practice that means I do four things most GIS freelancers do not do together: Geospatial data engineering. Production Python + PostGIS pipelines that pull multi-source data (satellite, census, trade, land prices, field data) into clean, reproducible datasets. Scheduled and tested with GitHub Actions, not one-off scripts. Machine learning on spatial data. scikit-learn and PyTorch models for time-series forecasting, clustering and segmentation, and collaborative filtering. The “what does this mean and what happens next” layer, not just the map. Decision dashboards. Interactive Plotly/Dash and Power BI dashboards that stakeholders actually use to decide. I built Datageo Paraná, a public platform with 10 interactive dashboards spanning 30+ years of data and 400+ products (VBP, census, ComexStat, employment, land prices, forestry prices). Domain depth. Forestry, agribusiness, sustainability and public-sector analytics. I have led FSC- and NR-31-compliant operations across multi-million-hectare projects, so I understand the data and the decisions behind it. What you get when you hire me: a clear scope up front, fast and direct communication, a documented methodology, original analysis (never recycled or plagiarized), and a full handoff of the maps, the validated pipeline and the code. You own everything at the end. Tools: Python, PostGIS / PostgreSQL, QGIS, scikit-learn, PyTorch, Plotly/Dash, Power BI, Supabase, GitHub Actions, GDAL/GeoPandas/Shapely/rasterio, SQL. Good fit if you need: satellite / remote-sensing analysis, geospatial web scraping and data acquisition, spatial data pipelines, forecasting or segmentation on geographic data, interactive geo dashboards, or forestry / agribusiness / environmental decision analytics. If you have geographic data and a decision to make, message me. I will tell you honestly whether I am the right fit and what the smallest useful first step looks like.

As an AI Agent Developer focused on agentic AI systems, I build autonomous agents and Multi-Agent workflows that eliminate repetitive processes. As an AI Agent Developer, I help SaaS companies, e-commerce brands, marketing agencies, and enterprise teams save 100–200+ hours per month while reducing operational costs by 30–60% through intelligent AI Automation powered by agentic AI. The Difference: Agentic AI, Not Just Workflows As an AI Agent Developer, I design agentic AI solutions that go beyond traditional automation. My systems incorporate reasoning, memory, decision-making, and failure recovery, enabling Multi-Agent workflows to understand context, adapt to exceptions, and self-correct in production. AI Agent Development for Business Automation As an AI Agent Developer, I architect autonomous agentic AI agents on n8n, Make, and Zapier using Claude, OpenAI, and LangChain. Every AI Agent Developer solution includes context-aware reasoning, RAG, tool calling, and memory to automate complex business operations with reliable AI Automation. Multi-Agent Systems for Marketing & Sales As an AI Agent Developer, I build agentic AI Multi-Agent systems for lead qualification, CRM synchronization, audience segmentation, follow-up automation, and sales workflows across HubSpot, Salesforce, Airtable, and other business platforms through scalable AI Automation. Intelligent Customer Support As an AI Agent Developer, I deploy agentic AI support agents that classify tickets, detect intent, generate summaries, recommend responses, and automate routing using LangChain, Claude, OpenAI, and Zendesk integrations. Data Pipeline Automation As an AI Agent Developer, I create end-to-end AI Automation pipelines powered by agentic AI for data ingestion, transformation, validation, anomaly detection, and reporting. Every AI Agent Developer workflow is designed for production-grade reliability and scalability. Proven Results Healthcare Support Automation: As an AI Agent Developer, I built an agentic AI solution with n8n, LangChain, and Claude that reduced manual support work by 70%. Marketing Agency Automation: As an AI Agent Developer, I developed an AI Automation platform using agentic AI that reduced campaign setup time by 65%. Sales Pipeline Automation: As an AI Agent Developer, I engineered an agentic AI Multi-Agent CRM solution that reduced lead response time from 4 hours to under 4 minutes. Tech Stack Automation: n8n • Make • Zapier AI: LangChain • OpenAI • Claude • Gemini Backend: Python • Node.js • FastAPI Platforms: Supabase • HubSpot • Salesforce • Zendesk • Airtable How I Work Every engagement starts with a workflow audit where I identify the highest-value opportunities for AI Automation. As an AI Agent Developer, I design complete agentic AI architectures before development, ensuring every solution includes reasoning, memory, monitoring, error handling, and production-ready deployment. If you're looking for an experienced AI Agent Developer to build intelligent AI Automation, agentic AI systems, Multi-Agent workflows, or enterprise AI solutions that deliver measurable ROI, let's discuss your project and design the right AI architecture for your business.

✅ Skilled Machine Learning Engineer with experience in applying AI to behavioral science, vision analysics, , agriculture, and computer vision, including the latest generative AI solutions. Focused on improving tools to maximize productivity, reduce latency, and adapt to business needs, with expertise in full Mlops implementation. If you are looking for guidance or complete project under the below domains. ➡️ Generative AI for your purpose: Can enhance, search do literatures review for better generative model for your use whether from text/video/audio or multimodal domains. ✅ Experiment different models from hugging face with better prompt engineering techniques and benchmark them ✅ Finetune using Lora, Qlora, and other complex architectures for resolving your problem on custom dataset ✅ For image generation finetune Stable diffusion using Dreambooth for better understanding. Comfy UI and replicate for easier flow of image generation pipeline ➡️ LLM: Deepseek, gpt, claude, llama, including pretraining, finetuning, prompt engineering, RAG approaches ➡️ Multimodal LLM: LLama 3.2, Multimodal RAG, LLAVA for vision task, Florence ➡️ Video Analysics: Merging of different deep learning and transformer based architecture for understanding of videos of sports, scenes, advertisements, action analysics etc ➡️ AI Agents: Agentic AI to solve the time taking work, CrewAI ➡️ AI workflow and Automations: No code automations tools like gumloop, make.com and N8N. Triggering specific events to provide you a new assistant. ➡️ Computer Vision: Text to image models, Object detection, and facial recognition etc. I am proficient in OpenCV, TensorFlow, PyTorch, and other. Amazon Rekognition. Transformer based (CLIP, SAM, YOLO World) ➡️ Natural Language Processing (NLP): Large Language models and transformers , AI chatbot, ChatGPT, BERT, SQUAD. Pretraining, Fine tuning, RAG based, prompt engineering ➡️ Data Science: I am proficient in data analysis, data visualization, and machine learning. I have experience in building predictive models, clustering algorithms, and recommender systems ➡️ AI Projects: Any AI, machine learning or deep learning project you have in mind Projects under the domain of Agri tech, finance, stocks exchange, business, manufacturing, transportation and health care. ❇️ Libraries tools: Pandas, Matplotlib, numpy, tensorflow, OpenCV, Langchain, NLTK, spacy, Pytorch, sklearn, FastAPI, mlflow, DVC, dagshub, Github CICD, Docker, langchain, hugging face, comfy UI, Replicate ❇️ Cloud deployment: Runpod, Heroku, Azure Devops AWS, Sagemaker, Azure , server less gpus architecture and more

I build production-ready web apps and AI features that ship fast and don’t break in production. RAG chatbots, AI agents, LLM integrations, and full-stack delivery (Spring Boot + React/Next.js + Node/Python). Top Rated | 100% Job Success Hi, I’m Muneeb, a Full-Stack Engineer specializing in AI integrations (LLMs, RAG, Agents) and scalable web apps. I help startups and product teams ship clean, fast, production-ready features from MVP to mature systems without hand-holding. What I build (client outcomes) LLM features inside your product: summarize, extract, classify, chat, search, Q&A RAG chatbots (secure, multi-tenant, citations, evals, monitoring) AI agents & tool-using workflows (guardrails, retries, structured outputs) Full-stack SaaS features (auth, billing, dashboards, APIs, admin panels) Automation + integrations (OAuth, 3rd-party APIs, Twilio, webhooks, event-driven flows) Performance & reliability fixes (slow endpoints, query tuning, memory leaks, flaky UI) My core stack Frontend: React, Next.js, Angular, TypeScript, Tailwind, shadcn/ui Backend: Java (Spring Boot), Node.js (NestJS), Python, REST APIs AI/LLM: RAG, AI Agents, prompt engineering, LangChain/LangSmith, Claude/Gemini (as needed) Data: PostgreSQL, MySQL, MongoDB DevOps: Docker, Git, CI/CD (GitHub Actions/Jenkins) How I work * Clarify scope + success criteria (fast) * Ship an MVP version early (so you can test) * Iterate with tight feedback loops * Handover with clean code + docs + deployment notes If you want someone who can own a feature end-to-end and deliver reliably, message me with: your goal, your current stack, and what “done” looks like.

🎯 Data Scientist | Statistical Modeler | Actuarial Analyst with 15+ Yrs Experience Hi! I’m Mauricio, a data scientist and actuarial professional with over 15 years of experience in quantitative analysis, machine learning, and predictive modelling for decision-making across industries. My background spans insurance, reinsurance, and consulting, but my passion (and current work) lies in turning complex data into smart, automated solutions that drive business value. I hold an MSc in Actuarial Science, an MBA, and a Master’s in Data Science, Big Data & AI. I’ve worked with companies like Munich Re, Mercer, EY, MAPFRE, and Further, where I’ve delivered projects at the intersection of data science, strategy, and automation. 💼 What I can help you with: • Predictive modelling using machine learning algorithms • Data science pipelines from data wrangling to model deployment • Statistical modeling and simulation • Risk modeling and segmentation • Automating reporting and analytics workflows (Python, R, Excel VBA) • Pricing and reserving in Insurance, IBNR and other actuarial estimations • Interactive dashboards (Power BI, Tableau) • Exploratory data analysis and insights for strategic decisions • Technical documentation and stakeholder presentations • Claims monitoring and loss ratio analysis • Reinsurance optimization and structuring • Automation of actuarial processes (Python, Excel) • Data visualization and insights • Regulatory reporting and Forecasting 📊 Tools & Technologies: • Python, Excel VBA, SQL, Mongo, SAS, Microsoft Office, Power Bi • Experience with actuarial softwares and machine learning tools 🌍 I’m fluent in English, Spanish, and Portuguese and have worked in multicultural teams across Colombia, Peru, Germany, and Spain. Let’s work together if you’re looking for a reliable and technically strong freelance actuary who can turn complex data into actionable business insights. I’m open to both short-term projects and long-term collaborations. 📩 Message me to discuss how I can support your business goals!

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

I'm a Senior AI Engineer with 5+ years of full-time experience building production AI systems — most recently a multi-agent chatbot for a global money-transfer platform operating across 160+ countries, handling live transaction tracking, exchange-rate queries, and customer support end-to-end. I build RAG chatbots, AI agents, and computer vision systems that go beyond demos into real, deployed products: fast, accurate, and built to scale. Core stack: OpenAI / GPT-4.1, LangChain, LangGraph, FastAPI, WebSocket, Redis, FAISS, PostgreSQL, PyTorch, OpenCV, YOLOv8. What I can help with: RAG chatbots over PDFs, websites, policies, and internal documents AI agents and tool-calling / workflow automation OpenAI / GPT API integration Computer vision systems: object detection, tracking, anomaly detection (YOLOv8, OpenCV) FastAPI backend development and API-connected automation My work is also published in peer-reviewed venues (IEEE conferences, IT Professional journal) on applied computer vision systems. If you tell me your use case, I'll tell you honestly whether AI is the right tool for it — and if it is, how I'd build it.

I have proficiency with deep learning and data analytics. My expertise include: 1. Programming in python, R, MATLAB, Java, C, C++ 2. Data Science in python pandas, R, R studio, jupyter notebook 3. Data visualizations in D3.js, R shiny, ggplot2, python plotly, seaborn etc. 4. Neural network and deep learning in MATLAB, python, tensorflow/pytorch/keras 5. Machine Learning theory including Generalized linear models, EM algorithm, Graphical models, PCA, Approximate inference, HMM, Kalman filter, Boosting, Bagging, Decision trees etc. 6. Probability, Linear algebra, mathematical optimization 6. Machine learning applications including scikit-learn, R (caret), and implementations from scratch 7. Time series Analysis 8. Statistics: confidence intervals, p-value, hypothesis testing, linear regression, ANOVA etc. 9. Algorithm & data structures 10. Back-end in python (django/flask). Front-end (bootstrap, javascript, jquery)

🌐 Professional Overview I'm LAKBABTI Imad, your data extraction specialist with 5+ years of hands-on experience. I transform complex web scraping challenges into efficient, automated solutions that just work. 💪 🎯 Core Expertise 🔄 Web Scraping & Data Extraction 🛠️ Master of Scrapy, Selenium, and Playwright 🔐 Expert at tackling CAPTCHAs, authentication & browser fingerprinting ⚡ Performance ninja with async processing & multithreading 🌐 JavaScript-heavy sites? No problem with advanced XPath 📊 Rock-solid data pipelines: PostgreSQL, MySQL, MongoDB, AWS S3 📦 Flexible data delivery: CSV, JSON, Excel, or API endpoints 🎯 Smart request optimization to keep your scrapers running smooth 🤖 Apify Platform Mastery 🔧 Custom actor development & optimization 🔄 Seamless Make.com workflow integration 📈 Performance-focused enhancements 🚀 Reliable data pipeline implementation ☁️ Cloud Infrastructure & Deployment 🐳 Docker-powered scraper deployment ⏰ Automated scheduling with Python & Cron 💻 Cloud expertise: AWS (Lambda, S3, ECS), Google Cloud Run, DigitalOcean 🔄 Workflow Automation Magic 🔄 End-to-end data pipeline automation 🔌 Smooth integration with your favorite tools ⚡ Make.com optimization wizard 🛠️ Tech Stack 🐍 Python, Scrapy, Selenium master 💻 Node.js & Puppeteer skilled 🔧 DevOps: Git, GitHub, SSH, SFTP 🤝 Why Work With Me 💼 Available for projects & long-term partnerships 🗣️ Crystal-clear English communication ⚡ Lightning-fast response times ✨ Quality-obsessed development 🎯 Strategic planning & architecture 🛠️ Ongoing maintenance & optimization 📬 Let's Connect! Ready to supercharge your data extraction? Schedule a chat and let's discuss how I can help you achieve your data goals! 🚀 ✉️ Quick to respond 🎯 Results-focused 💪 Quality guaranteed [Note: This version maintains professionalism while adding friendly, relevant emojis to make the content more engaging and visually appealing. Each emoji is carefully chosen to match its section's content.]

7 year data experienced professional at finance, health, tech, consulting and banking experience. A challenge and problem solving driven professional and have always had as a goal the fusion of data technology and capital markets. Pursuing to contribute and grow within a fast-paced environment on innovative projects. Currently Senior Data Platform Engineer and finishing master’s degree in Computer Science at UFMG. Projects: Throughout my career, I've been involved in many exciting projects, such as developing GAN and binary investment robots for investment algorithms, reconciling financial data for large companies, and statistically analyzing stock trading volume using Google Trends. My projects demonstrate my ability to combine AI models, quantitative analytics and financial expertise to gain data-driven insights. Skills: I have diverse skills in programming languages such as Python, Javascript, R, C/C++, SQL, Typescript, Scala and VBA. I have hands-on experience with various databases such as SQL Server, PostgreSQL, DB2, MySQL, MongoDB, Google Big Query, Oracle, AWS and Microsoft SSIS. In addition, I have knowledge in data visualization tools, such as Shiny, Matplot, Tableau, PowerBI and Google DataStudio. Languages: I am a native Portuguese speaker and proficient in English and Spanish, which enables efficient communication with international teams.