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I am an artificial intelligence expert, Upwork EXPERT-VETTED (top 1%), full-time freelancer with $2M+ earnings on Upwork. I regularly create — and immensely enjoy creating — AI solutions for my client's specialized problem domains! I have built solutions with all frontier class LLM models (Claude, Gemini, ChatGPT) and open source models as well. I create custom neural networks or fine-tune existing AI models for specialized use cases. —————————— Client Base —————————— In the past decade, my client base has been evenly split between startups and businesses, but the common thread in all of my work is artificial intelligence. In the business world, I tend to work with medium size businesses that are bogged down by manual processes. I evaluate current business processes with all stakeholders, then implement business automation and AI solutions to drastically reduce manual effort and dramatically improve efficiency. For one of my recent clients I built a business automation platform that was so powerful, their entire business revenue doubled just one year after go-live. They kept the exact same staff, but were so much more efficient that revenue doubled! In the startup world, I tend to solve new and unique problems with artificial intelligence. A couple of examples are developing an AI system for architectural blueprints, or an AI system for biometric detection using only keyboard typing patterns. While there are many more examples, I cannot elaborate since many of these projects are covered under NDA. But in short, if you are in a highly specialized field where no AI solution currently exists, I can’t wait to help you! ——————————— About Richard ——————————— I love solving problems using artificial intelligence! I spent many years in the field of scientific research, so I have decades of experience in the creative process of taking an idea from conception to production. I help my clients to: - Automate manual business processes - Develop new AI systems - Create specialized AI models - Research cutting edge developments in the latest AI literature and open source projects - Choose the best AI framework and model architecture - Curate custom datasets - Augment existing datasets - Create data processing pipelines - Tune model performance - Build production quality neural networks I create value for my clients by being a one-stop-shop for coding and technical knowledge. For many of my clients I have been their first technical hire. This means I architect and implement the initial technical infrastructure to set my clients up for future success. ————————— More about Richard: ————————— My specific AI expertise is in the fields of Deep Neural Networks, Computer Vision, and Large Language Models. I have obtained Upwork's Certification for Python Development (nearly all AI is done in Python) and obtained a Deep Learning Nanodegree from Udacity in 2017. I use frontier LLM models daily (e.g. Anthropic Claude, Google Gemini, OpenAI ChatGPT). Prior to my 10+ years in the field of Deep Learning AI, I have over 20 years of experience in coding and web development. I helped put myself through college with freelance web dev work, and gained more coding experience during my masters in quantum computing. In my professional career, I have 3 years of experience at Cerner, who leads the field in providing enterprise software solutions to hospitals, as well as 13 years of experience at the Stowers Institute for Medical Research, a world-class medical and cancer research facility. (***Cerner was recently bought by Oracle) I very much enjoy collaborating with people from different business, scientific, artistic, civic, and cultural backgrounds. My fastest-paced coding projects have been working with multiple startup companies to get an MVP to market. My largest scale coding projects have been with hospitals of various sizes all over the country. My most complex coding projects have been in the scientific field, working with 20 independent research labs, and collaborating with other labs all over the world. I am accustomed to creating concrete development plans for technical projects within highly specialized fields. I use Pytorch or Tensorflow to train my Deep Neural Networks, and analyze the data using Python, Numpy, Pandas, Scikit Learn, Matplotlib, etc… I am well versed in Python, Vue.js, Django, HTML, CSS, SQL, and Database design. I have experience in Windows and Linux system administration, have built my own Ubuntu based web server from the ground up, and host and manage several websites. For more information on my latest projects, please see my PORTFOLIO section below. Thanks for taking the time to consider me for your project!

With over 3 years of hands-on experience in data analysis and machine learning, I am a detail-oriented and results-driven Data Analyst committed to delivering actionable insights that drive business success. My background spans across customer success engineering, data reporting, AI development, and data visualization, allowing me to bring a comprehensive approach to tackling complex data challenges. Currently, I work as a Customer Success Engineer - Data Analyst at Palo Alto Networks, where I utilize a broad skillset in SQL, Python, Tableau, and Gainsight NXT to provide executive-level insights, optimize resource allocation, and streamline processes. My expertise in analyzing telemetry data and product growth metrics ensures that both customer and business needs are met with precision. In addition, I have experience in building and maintaining automated dashboards, developing machine learning models, and collaborating with cross-functional teams to improve overall data management and visualization. My previous roles have also honed my ability to communicate technical findings to diverse stakeholders and to manage multiple projects in an Agile environment. Key skills and tools I bring to the table include: Data Analysis & Visualization: Proficient in Tableau, PowerBI, SQL, Python (NumPy, Pandas, Scikit-learn, TensorFlow), and Google Sheets to drive strategic decisions. Data Engineering & Management: Expertise in BigQuery SQL, Microsoft SQL Server, and database management. Machine Learning: Experienced in building AI-driven solutions using TensorFlow, Scikit-learn, and Natural Language Processing (NLP). Team Leadership & Collaboration: Skilled in Agile methodology, leadership, and cross-functional teamwork, ensuring timely and effective project delivery. I am passionate about using data to solve complex problems and help businesses make informed data-backed decisions. Whether it's analyzing customer metrics or building machine learning solutions, I am ready to take on new challenges and contribute to your success. Let’s collaborate to turn data into actionable insights that can fuel your business growth!

Hi, I am Md. Redwan Islam, a Computer Science graduate researcher at the University of Georgia with strong experience in machine learning, artificial intelligence, knowledge graphs, graph neural networks, LLM-based workflows, IoT systems, cloud-based analytics, and research-oriented software development. My recent work focuses on applied AI/ML research and implementation, especially graph-based AI, dynamic graph neural networks, knowledge graph construction, biomedical knowledge representation, explainable AI, and LLM-assisted research systems. I have worked on projects involving biologically inspired framework for scalable and adaptive graph neural networks on various large datasets. I also work on knowledge graph-based biomedical AI, including antimicrobial resistance, horizontal gene transfer, mobile genetic elements, and scientific data integration from heterogeneous biological databases. My experience includes building structured pipelines for data collection, entity-relation modeling, graph construction, semantic representation, graph analytics, and machine learning over complex scientific datasets. In addition to graph AI and knowledge graphs, I have experience with LLM applications, retrieval-augmented generation concepts, AI research automation, question-answering systems, literature-based reasoning, prompt engineering, and integrating LLMs with structured data sources. I can help design AI workflows that connect plain-language questions to databases, knowledge graphs, APIs, or analytical pipelines. At the University of Georgia, I have worked as a Graduate Research Assistant and Graduate Teaching Assistant, supporting courses such as Data Mining, Discrete Mathematics, and Data Science. My academic and research background includes machine learning, deep learning, data mining, signal processing, public health analytics, IoT-based real-time data collection, and cloud-based data analysis. I have also contributed to research involving NHANES data analysis, explainable public health analytics, Raman spectroscopy with machine learning, and brain-computer interface signal classification. Before joining UGA, I completed my B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology. During my undergraduate research, I published an IEEE conference paper on electrocorticography-based motor imagery signal classification using continuous wavelet transform. I later worked as an IoT Software Developer at DataSoft Systems Bangladesh and as a Satellite Operation / Computer and Data Center Engineer at Spectra International Limited, where I contributed to the Bangabandhu Satellite-1 project with Thales Alenia Space, France. That work involved server installation, application software maintenance, networking equipment, switches, routers, and data center infrastructure. I can help with: Machine Learning and Deep Learning Graph Neural Networks and Graph Analytics Knowledge Graph Construction and KG-Based AI LLM Applications and RAG-Style Workflows Biomedical and Scientific AI Pipelines Python Data Analysis and Research Prototyping NLP, Data Mining, and Text Analytics IoT Data Collection and Cloud-Based Analytics Database Design, APIs, and Backend Development Academic Research Coding, Experimentation, and Paper-Ready Results My technical stack includes Python, PyTorch, TensorFlow, Keras, scikit-learn, NumPy, SciPy, Pandas, R, MATLAB, Java, C/C++, C#, JavaScript, Node.js, REST APIs, Django, Laravel, SQL, MySQL, MongoDB, Linux, Docker, Git, GitHub, AWS, Azure, SPSS, LaTeX, and data visualization tools. I am especially interested in projects where AI research needs to be turned into a working prototype, reproducible codebase, analytical pipeline, technical report, or production-ready proof of concept. If your project involves machine learning, knowledge graphs, LLMs, graph data, scientific datasets, biomedical AI, or research-driven software development, I can help you build it carefully, clearly, and rigorously.

I’m a life sciences researcher and data analyst with an MS in Biotechnology (GPA 4.0, Florida Institute of Technology, 2026) and a BS in Biology with a minor in Animal Behavior (Indiana University, Magna Cum Laude). I build statistical workflows, analyze complex biological datasets, and write clearly for scientific audiences. During my graduate research at Florida Tech, I replaced a $1,000+/year paid data collection platform with a custom open-source R solution, designed automated field data workflows, and integrated multi-source environmental data into reproducible pipelines. As an undergraduate researcher at Indiana University, I analyzed multi-year GPS wildlife tracking datasets, cleaned long-term behavioral observation records, and built the lab’s first searchable specimen database from 40+ years of archival records. WHAT I CAN DO FOR YOU - Statistical analysis: regression, mixed-effects models, hypothesis testing, descriptive statistics - R and Python scripting and pipeline development - Data cleaning and transformation from messy, multi-source datasets - Publication-quality visualizations with ggplot2 and matplotlib - Reproducible reporting via R Markdown and Jupyter Notebooks - Scientific writing: Methods, Results, and Discussion sections - Literature reviews, grant background sections, and lay summaries - Manuscript editing for clarity, accuracy, and journal style My background spans field ecology, molecular biology, and computational data science. I work equally well with observational biological data, commercial analytics datasets, and structured clinical data. I’m detail-oriented, deadline-driven, and used to communicating complex findings to non-specialist audiences (I’ve taught college biology). Whether you need a quick data clean-up or a full analysis pipeline with a written report, I can help. Message me with what you’re working on. I reply within 24 hours.

Retired technology professional. Broad range of technology-focused skills. Energized by and enjoy investigating and solving problems, analyzing and digging into data, and building things. Data analysis and data science skills. Excellent communications skills. Interested in working 10-20 hours per week.

Hi, I’m Katherine (“Kathy”) 👋, a bilingual data professional fluent in English, Spanish, and some Portuguese, with a Master’s in Business Analytics and over 5 years of experience in diverse freelance projects. I specialize in transforming complex data into reliable, actionable insights through data validation, AI training, testing, and market research. Why Hire Me? ⭐ Consistently rated 5 stars on all completed projects 🤝 100% Job Success on Upwork 🤖 Expertise in AI data annotation, quality assurance, and model output review 📊 Proficient in SaaS data cataloging, process automation, and data quality frameworks 🔧 Tech-savvy with a wide range of analytics, research, and project management tools What I Do: Data Annotation & Validation: Image, text, and SaaS data labeling for AI/ML workflows Testing & QA: Bot testing, workflow evaluation, and AI output accuracy review Market Research & Insights: Competitive analysis, trend tracking, and SaaS market mapping Data Management & Virtual Assistance: Data cleaning, organization, and performance tracking Content & Language Support: Translation, localization, and bilingual communication (EN/ES/PT) Digital Marketing Support: WordPress, Substack, Mailchimp, Meta Ads Manager, Hootsuite Tools I Use: Python 🐍 | Excel 📈 | Tableau 📊 | Power Query | RStudio | SPSS | SQL | Jupyter | Notion | Trello | Asana | Slack | Figma (UX testing) | Looker Studio | Google Workspace | Social Blade | Hootsuite | Buffer | Sprout Social | Google Trends Education: 🎓 MS in Business Analytics — National University of Ireland, Galway 🎓 Bachelor’s in Business Administration — Universidad Austral de Chile Languages: Spanish – Native English – Fluent Portuguese – Intermediate Why Work With Me: I bring analytical precision and strong organizational skills to every project. Whether improving AI workflows, validating large datasets, or supporting back-office processes, I ensure structure, insight, and consistency. My clients trust me to deliver clear results that align with their strategic goals.