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🚀 🥇 Expert-Vetted Talent | Principal AI/ML | GenAI, LLM, RAG, Fine-tuning, Cloud(Azure, AWS, GCP) | Healthcare & FinTech I transform complex business challenges into cutting-edge AI solutions. With 15+ years leading AI/ML initiatives and a Doctor of Philosophy in Machine Learning from Iowa State University, Master's in Computational Neuroscience from UC San Diego, I deliver production-ready GenAI systems that drive measurable ROI. ✅ What I Offer: • GenAI & LLM Solutions: Custom GPT fine-tuning, prompt engineering, multi-agent systems, RAG architectures • Production AI Systems: End-to-end ML pipelines, MLOps, model deployment at enterprise scale • Healthcare AI: Clinical trial automation, medical document generation, HIPAA-compliant solutions • AI Strategy & Architecture: Technical roadmapping, proof-of-concepts, AI transformation leadership • Full-Stack AI Development: Python, PyTorch, TensorFlow, AWS, GCP, Azure, Vector DBs, Kubernetes 🎯 Recent Achievements: • Built AI system processing 100K+ clinical trials for pharma enterprise, enabling intelligent Q&A and benchmarking • Developed GenAI platform generating 100+ page clinical trial protocols with 95% accuracy • Led 60+ engineer team delivering first commercial AI healthcare product at ResMed (NYSE: RMD) • Created $1M+ revenue AI products in first year at multiple startups • Secured $3.5M+ funding through strategic AI product development 💼 Industry Expertise: • Healthcare/Pharma: Clinical trials, EHR integration, medical AI, FDA-regulated software • FinTech: Real-time fraud detection, risk assessment, payment processing systems • Enterprise SaaS: Multi-tenant architectures, API development, scalable AI services • Retail/E-commerce: Recommendation engines, inventory optimization, customer analytics 🔧 Technical Stack: AI/ML: GPT-4/5, Claude, Llama, BERT, Transformers, Fine-tuning, RLHF, RAG, Vector Databases Languages: Python, JavaScript, TypeScript, Java, Ruby, Go, SQL Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, Scikit-learn, FastAPI Cloud/DevOps: AWS (SageMaker, Lambda, ECS), GCP (Vertex AI), Azure, Kubernetes, Docker Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, Pinecone, Weaviate, ChromaDB Tools: MLflow, Weights & Biases, Git, CI/CD, Jupyter, Streamlit 📊 Quantifiable Impact: • 73% engagement increase for nonprofit youth chatbot with emotional intelligence • 94% accuracy in crisis detection for at-risk populations • 10X growth in subscriber base through AI-driven optimizations • 100+ pages of medical documents generated with regulatory compliance • $100K+/month revenue generated through ML-powered ad targeting 🎓 Credentials: • M.Sci. Computational Neuroscience - UC San Diego • IBM Certified: RAG and Agentic AI • Deep Learning Specialization - Coursera • Published researcher in AI/ML (Psychological Science, ICSE) • 4 provisional patents in AI/computer vision 🌟 What Sets Me Apart: Unlike typical developers, I combine deep technical expertise with business acumen from leading multiple successful startups. I don't just build models – I architect complete AI ecosystems that scale, comply with regulations, and deliver measurable business value. My neuroscience background provides unique insights into building truly intelligent systems that understand human behavior and needs. 📋 Services I Provide: • Custom LLM fine-tuning and deployment • RAG system architecture and implementation • Multi-agent AI system development • Healthcare AI and medical document automation • AI-powered data extraction and processing • Computer vision and image analysis solutions • Production ML pipeline development • AI strategy consulting and roadmapping • Technical due diligence for AI projects • Team mentoring and AI capability building 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face

I'm a GIS analyst and cartographer with 8+ years of experience translating complex environmental, social, and operational data into maps and dashboards that actually get used. I've built interactive Tableau and ArcGIS Online tools for nonprofit disaster response, developed climate visualizations for international NGOs, and mentored students at Columbia University's School of Professional Studies and Climate School. My work has been featured at the Data Visualization Society's Outlier Conference. I work best with organizations where the data matters - environmental nonprofits, sustainability initiatives, climate advocacy groups, public agencies, and mission-driven teams. Whether you need a polished static map for a report, an interactive web map for stakeholders, or a Tableau dashboard that tells a story, I bring both the technical depth and the communication skills to get you there. My approach is equity-focused, collaborative, and delivery-oriented. I'll ask the right questions upfront so the final product fits your audience, not just your dataset.

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.

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.

👋 Hi there! I’m Julia — a Full-Stack Developer with 4+ years of experience designing, developing, and deploying scalable web applications. I’m passionate about writing clean, efficient code and building robust, well-structured RESTful APIs. 💻 Software: I specialize in backend development with Python (Flask, FastAPI, Django) and frontend development with JavaScript and TypeScript — creating seamless, scalable, and user-friendly experiences from database to UI. 🌐 Network Engineering: Beyond software, I also work as a WAN Engineer for Burning Man, deploying and maintaining large-scale network infrastructure in extreme desert conditions. My work involves hands-on networking — from configuring routers and VLANs to optimizing connectivity across long-distance wireless links. I’m deeply interested in the OSI model’s physical and data link layers and love solving real-world connectivity challenges. 🎶 Art: In my free time, I live-code music and visuals in SuperCollider and build experimental chatbots and LLM models — blending art, code, and AI. 🧰 Stack Languages: Python, GDScript, Bash, SQL, JavaScript, TypeScript, HTML, CSS E-Commerce - Shopify (custom development & themes), WordPress Frameworks & Tools: Flask, Django, FastAPI, AWS, Docker, Git, Linux, Proxmox, pytest Databases: PostgreSQL, SQLite DevOps: TCP/IP, DNS, DHCP, VPN, VLAN, OSPF, BGP, Grafana, Wireshark

Hey, I'm DJ, a web developer and graphic designer with 4 years of experience building polished, high-performing sites and visuals that actually convert. My sweet spot is Wix, specifically Studio, Velo (custom code & APIs), and eCommerce. I've built everything from service business sites to online stores with custom integrations, and I know the platform deeply enough to push it well past its defaults. If you've hit a wall with what Wix "can't do," that's usually where I come in. On the design side, I bring a developer's eye to every project, so my work isn't just pretty, it's built to perform. I do UI/UX design, social media graphics, print collateral (flyers, business cards, brochures), and logo refinements for brands that need a polish-up rather than a full rebrand. 🎨 Design & Web Highlights Wix Studio + Velo: Custom-coded dynamic pages, third-party API integrations, and eCommerce builds that go beyond drag-and-drop UI/UX: Designed and developed a full-stack CRM interface with real-time dashboards, boosted client productivity by 75% Brand & Print: Social graphics, flyers, and brand collateral for small businesses and launches Logo Refinements: Modernizing, vectorizing, and sharpening existing logos, not starting from scratch, but making what you have work harder ✅ What I Do Best Wix: Studio, Velo, eCommerce, app integrations Graphic Design: Social media, print, UI/UX, brand touch-ups Web Dev when needed: React, Next.js, Node.js for when Wix isn't the right tool Clean, fast delivery 🛠 Tools Wix Studio · Velo · Adobe Illustrator · Figma · JavaScript · React · Next.js · Node.js · MySQL · Git 💬 Whether you need a Wix site that actually works the way you imagined, graphics that fit your brand, or both, let's talk.