Greetings! I am a PhD candidate in Statistical Machine Learning (ML), and a certified Machine Learning Scientist and Data scientist (Upwork & IBM) with both Master’s and Bachelor’s degrees in Statistics. My strong academic foundation equips me advanced data science and ML workflows. I specialize in developing predictive models for financial markets—particularly in crypto and stock price forecasting—using time series analysis, deep learning, and ensemble methods. My work also involves designing and backtesting algorithmic trading strategies, optimizing model performance under live market conditions, and building interactive dashboards for real-time data visualization and decision support. 🌟 Top Rated on Upwork – Consistent record of client satisfaction and delivery excellence. 🔍 Why Hire Me? ✅ Advanced ML Expertise I leverage cutting-edge techniques to deliver highly accurate and innovative predictive solutions. ✅ Comprehensive Tool Proficiency Programming: Python, R Dashboards & Visualization: Tableau, Power BI, Streamlit Statistical Software: SPSS, STATA, E-Views, Minitab Database & Cloud: SQL, Google Cloud (for scalable, production-ready ML deployments) ✅ Quantitative Research Strength Deep experience in algorithm design and time series forecasting enables trend prediction with exceptional precision. ✅ End-to-End Execution From data ingestion to predictive modeling and visualization, I manage the full pipeline with performance and clarity in mind. ✅ Clear Communication I break down complex ML models and insights into intuitive, actionable formats for stakeholders and non-technical audiences. 💼 What I Deliver: Predictive Modeling Time Series Forecasting & Analysis Interactive Dashboards in Tableau, Power BI, and Streamlit Risk Assessment & Optimization Models Feature Engineering & Model Tuning Visual Analytics & Business Intelligence

I'm an expert in algorithms design, mathematical optimization and machine learning (deep learning, NLP and reinforcement learning). I help my clients to be Industry 4.0 ready. This means that I not only provide predictive analysis but prescriptive solutions to my clients. What does this mean? Predictive analysis allows you to forecast the future, prescriptive analysis not only allows you to forecast the future but to pro-actively act to change this future for the better. I'm specialized in providing solutions that combine the strengths of machine learning and mathematical optimization.

I am a 𝗣𝗵.𝗗. 𝗶𝗻 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 and the founder of a cutting-edge startup specializing in AI and ML solutions. I offer a unique blend of academic expertise and entrepreneurial spirit. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: ✔ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀): Deep experience with GPT-4, GPT-3.5, ChatGPT, Whisper, BERT, and more. ✔ 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 & 𝗠𝗟 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀: Proficient in LSTM, RNN, CNN, Random Forest, Learning to Rank, Regression, and other advanced algorithms. ✔ 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Comprehensive skills in data analysis, modeling, and implementation. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸: ✅ 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python (full scientific stack), R ✅ 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: TensorFlow, PyTorch, Keras ✅ 𝗧𝗼𝗼𝗹𝘀: NLTK, Docker 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: ➞ Proven track record in building and scaling SaaS products. ➞ Expertise in translating complex AI and ML concepts into real-world, impactful solutions. ➞ A passion for pushing the boundaries of AI and ML to deliver innovative results. Let’s Collaborate: Transform your AI and ML challenges into groundbreaking solutions!

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 dedicated AI Engineer specializing in Machine Learning, Deep Learning, Computer Vision, and NLP, helping businesses turn data into actionable insights. I create scalable, high-performance systems for predictive analytics, object detection, text classification, and intelligent automation. What I Offer: ML & Deep Learning: CNN, RNN, LSTM, Transformers for accurate predictions. Computer Vision: Object detection, OCR, and AI-powered diagnostic tools. NLP: Text classification, sentiment analysis, chatbot integration. Tech Stack: Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, AWS, GCP. Notable Projects: AI skin disease detection system (95% accuracy). OCR-based captcha solver using deep learning. ML-powered esports prediction bot with Telegram integration. I focus on delivering tailored AI solutions that boost efficiency, reduce costs, and engage users. 🚀 Let’s transform your idea into a powerful AI-driven solution message me to get started!

I’m a data scientist with hands-on experience in data cleaning, analysis, visualization, machine learning, and generative AI using Python. I specialize in transforming raw datasets into actionable insights, predictive models, and AI-powered solutions that empower smarter business decisions. Through academic and personal projects, I've developed predictive models, uncovered meaningful trends, and transformed raw data into clear, actionable insights. 🔎 Key projects I’ve worked on: ✅ Developed a machine learning regression model to predict laptop prices based on different features. ✅ Completed a project on King County house sales using data analytics techniques like cleaning, EDA, and regression modeling to explore pricing patterns and predict house values. ✅ Built an interactive web-based dashboard using Plotly and Dash to analyze and visualize a company’s automobile sales performance across different years. ✅ Built a credit card fraud detection model using Decision Tree and Support Vector Machine (SVM). ✅ Measured and compared the performance of Random Forest and XGBoost regression models for predicting house prices (California Housing Dataset). ✅ Evaluated the relative performance of DBSCAN and HDBSCAN clustering models on The Open Database of Cultural and Art Facilities (ODCAF). ✅ Performed basic SQL queries on the Chicago public school dataset to extract meaningful insights. 🎯 What I Offer: ✔️ Exploratory Data Analysis (EDA) — Pandas, Matplotlib, Seaborn ✔️ Data Cleaning & Preprocessing — Pandas, NumPy ✔️ Web Scraping & Data Collection — BeautifulSoup, Selenium, yfinance ✔️ Data Visualization — Matplotlib, Plotly, Dash, Seaborn, Folium, PyWaffle, WordCloud ✔️ Machine Learning (Regression Models, SVM, Classification, k-NN, Decision Tree, Cluster Analysis) — Scikit-learn ✔️ SQL Queries & Data Extraction — SQLite, MySQL, PostgreSQL ✔️ Generative AI — LLM-powered automation, content generation, text summarization, idea generation If you need clean reports, predictive models, or generative AI-powered automation, I can help transform your raw data into powerful insights and intelligent solutions. 📩 Let’s connect and unlock the potential of your data with AI!

Are you looking for a well-trained AI & Machine learning Engineer who can take advantage of the data you have to boost the growth of your business? When done right, machine learning and deep learning can help you make the state of the art products that can help you better serve your customers, increase sales, and cut costs. However, it's difficult to find well-trained AI & Machine learning Engineers because the majority of them are working for big technical and financial companies. It's more challenging to see AI & Machine learning Engineers who are creative and have solid communication and project management skills. That's where I come in. I specialize in developing AI & Machine learning Engineer and deep learning solutions for startups, individuals, and small businesses. I have experience working in: - Artificial intelligence software, mobile, and web applications. - Computer Vision applications such as image classification, image classification with localization, Object Detection, Object Recognition, Object Segmentation, Image Style Transfer, Image Colorization, Image Reconstruction, Image Super-Resolution, and Image Synthesis. - Natural Language Processing applications such as Machine translation, Speech Recognition, Sentiment analysis, Question Answering, Automatic Summarization, Chatbots, Market Intelligence, Text Classification, Character Recognition, and Spell Checking. - Reinforcement learning algorithms, Q-learning, State-Action-Reward-State-Action, Deep Q Network (DQN), Deep Deterministic Policy Gradient (DDPG), counterfactual Regret Minimization, Model-free, and Model-based agents, On-policy and Off-policy agents. - Artificial intelligence applications in finance like credit/trading, credit/sales, rates/trading, foreign exchange/trading, cash/trading, derivatives/sales, identify trades/portfolio construction, monitor trades and trading bots. - Python, Javascript, Java, Tensorflow, Keras, OpenAI Gym, sci-kit learn, Matplotlib, Numpy, Pandas, HTML, CSS, WordPress, Javascript, Java, AWS, Azure, and Google Cloud. I believe in creating value from day one. when you hire me I will provide: - daily update - weekly reports - 7 days a week on-call support - Line-by-line commented code - Documentation - Revisions I would love to hear about your machine learning and deep learning problems and see how I can help solve them. So, connect today and I will get back to you within 1 hour. Thanks.

Hi, I’m Carlos --> Founder of Re:klaim- More Life, Less Email Im a results-driven Data Scientist and Machine Learning Engineer with an MIT ADSP Certification. I specialize in translating complex data problems into actionable business insights and scalable AI solutions. Key Strengths & Expertise - Machine Learning & Predictive Analytics: Expertise across ensemble modeling, alpha discovery, NLP, and real-time applications. - Data Visualization & Reporting: Skilled at building interactive dashboards (Tableau, R Shiny) and visually compelling reports that drive decision-making. - Scalable Solutions: Proficient in MLOps (model deployment, monitoring, and optimization) to ensure your solution remains robust under production conditions. - Client-Centered Approach: I tailor solutions to each client’s needs, working iteratively with feedback to maximize impact. Notable Achievements: Alpha Discovery & Risk Analysis - Developed high-risk, high-reward trading strategies using advanced ensemble techniques for financial markets (RiskMiner). - Achieved improved predictive accuracy and actionable insights for traders. Dropout Prediction Model - Built a school dropout prediction tool that provided district administrators with actionable insights to reduce dropout rates. - Delivered user-friendly dashboards and detailed reporting for long-term impact. Climate Analysis & Dashboards - Created R Shiny apps and Tableau dashboards for climate data and working capital optimization. Transformed raw data into interactive, visually stunning tools for stakeholders. Work Process - Discovery & Planning: In-depth requirement gathering, data exploration, and solution design. - Implementation & Iteration: Iterative model development, feedback loops, and refinements to ensure alignment with your business goals. - Deployment & Knowledge Transfer: Production-ready models, clear documentation, and (if requested) training sessions so you can confidently use and maintain your new solution. Why Work With Me? - Clear Communication: Regular updates, straightforward timelines, and transparent milestones. - Commitment to Excellence: Meticulous EDA, clean code, and result-driven solutions that don’t just work but excel. - Future-Focused: Always open to ongoing support, enhancements, and collaboration for long-term growth. High-Performance Environment: My local development setup includes an Apple MacBook Pro (M4 Max, 128 GB RAM, 40-core GPU, 16-core Neural Engine, 2 TB SSD). This powerhouse environment enables rapid model training, parallel processing, and seamless handling of large-scale datasets—without relying exclusively on external cloud infrastructure. That means faster iterations, quicker insights, and lower operational overhead for your project. Ready to turn your data into a competitive edge? Let’s connect to discuss your project needs and how we can build an impactful and valuable solution together.

Greetings, I am a Senior AI Engineer and Data Architect specializing in Machine Learning, Deep Learning, Federated Learning, LLMs, AI Automation, and Data Architecture. I focus on building scalable, secure, and production-ready AI and data solutions that solve real business problems. My core strength lies in designing end-to-end AI and data systems, from data ingestion, data modeling, and data processing to model development, deployment, automation, and business intelligence. I have strong experience in LLM-based RAG systems, computer vision, privacy-preserving AI using Federated Learning, and modern data platforms. I also work on enhancing AI security through Blockchain integration where applicable. - Key Expertise: * Data Architecture & Engineering * Data Lake, Data Warehouse, and Lakehouse Architecture * Data Modeling: Star Schema, Snowflake Schema * ETL/ELT Pipelines and Data Integration * Data Governance, Data Quality, and Metadata Management * Batch and Real-Time Data Processing * Big Data Platforms: Spark, Hadoop, Cloudera CDP * DataOps, CI/CD, and MLOps - Generative AI and Automation * LLMs, RAG systems, chatbots * AI workflow automation and integrations - Advanced AI * Federated Learning * Secure AI systems with Blockchain integration - Machine Learning * Regression models, Decision Trees, SVM * Ensemble methods: Random Forest, Gradient Boosting, XGBoost * Probabilistic and distance-based models: Naive Bayes, KNN - Deep Learning * ANN, CNN, RNN, LSTM, GAN * Model optimization and deployment - Computer Vision * Image classification, object detection, segmentation I am passionate about collaborating with clients to deliver robust, efficient, and future-ready AI and data solutions. If you are looking for a Senior AI Engineer and Data Architect who combines research-level expertise with real-world implementation, I would be happy to discuss your project.

AI/ML engineer who cut a 6-hour manual review process to under 10 minutes using document AI and computer vision. 100% job success across 26 projects, $100K+ earned. I build AI systems that do real work. Results from deployed systems: Manufacturing Doc-AI — Computer vision (YOLOv8) + NLP on architectural blueprints for the largest US casework manufacturer. Estimation from 2-6 hours to under 10 min. 91% recall, 84% precision on production drawings. Detects cabinetry, reads MasterFormat specs, outputs structured estimates. AI Document Agent — Natural language search over 500MB+ PDF spec files. Answers with page + paragraph citations in under 30 seconds. Previously 30+ minutes per manual search. Multi-Agent Investment Research — LLM-based multi-agent system processing live financial data. Autonomous agent coordination with retrieval, analysis, and reporting pipelines. Backend & Long-Term Engagements — 4+ years with Xperi (DTS/TiVo), code running in BMW and Tesla. 5+ years with Internet Archive maintaining a 40,000-line Python platform powering worldwide book scanning. What I ship: LLM agents with tool calling, RAG over proprietary data, document AI (OCR + layout extraction), computer vision, and production Python backends. Weekly milestones with acceptance criteria. Handover includes runbooks, dashboards, and training.