With 15+ years of hands-on experience, I help businesses from early-stage startups to 9-figure eCommerce brands build, scale, and optimize high-performance digital systems across Shopify, AI, and full stack development. I do not just build websites or AI tools, I design revenue-driven ecosystems that combine technology, automation, and conversion strategy. ## What I Bring to the Table: 1. Shopify and eCommerce Expertise: - 1000+ Shopify stores optimized and developed - 30+ new stores launched in the past year - End-to-end Shopify solutions from setup to scaling - Custom Shopify design and theme development (Figma to Shopify) - Shopify Liquid, theme customization, and UX optimization - Shopify API integration and custom app development (public and private) - WordPress to Shopify migration - Dropshipping setup and automation - Payment, shipping, and social commerce integration - Product, collection, and inventory management 2. Conversion Rate Optimization and SEO: - Data-driven strategies to turn traffic into revenue - UX and UI improvements based on user behavior - Funnel optimization with A/B testing mindset - Site speed optimization - Technical SEO including indexing, performance, and structured data - On-page and off-page SEO for long-term growth 3. AI, ML, and Generative AI Solutions: I specialize in building advanced AI-powered systems and automations that drive efficiency and innovation. - Generative AI (GPT, Claude, Stable Diffusion, Midjourney) - LLM applications and AI-powered SaaS development - RAG (Retrieval-Augmented Generation) systems - Natural Language Processing (NLP) - AI chatbots and conversational systems - Prompt engineering for modern AI models - AI workflow automation using Zapier, Make, and HighLevel - Computer vision and deep learning (YOLO, OpenCV) 4. Full Stack Development Expertise: - Frontend: React.js, Next.js, HTML5, CSS3 - Backend: Node.js, Python, PHP, Laravel - Databases: MySQL, PostgreSQL, MongoDB, Pinecone - APIs and integrations: custom API development and third-party integrations 5. Cloud and AI Infrastructure: - AWS, Azure, Render, RunPod - AI model deployment using PyTorch, TensorFlow, and Keras - FastAPI and Flask for scalable AI backends 6. Tools, Frameworks, and Technologies: PyTorch, TensorFlow, Keras, Hugging Face, OpenAI, Anthropic, Gemini, BERT, scikit-learn, NumPy, Pandas, OpenCV, DialogFlow, FastAPI, Flask, Zapier, Make ## Additional Services: - AI business consulting with tailored strategies - Shopify training and ongoing support - Email marketing including Mailchimp/Klaviyo integrations - Revamping & visual enhancements ## Why Work With Me: - Top Rated (Top 10% on Upwork) - 15+ years of industry experience - 1000+ Shopify stores delivered - Strong CRO and growth expertise - Clear communication and transparency - Fast execution with ownership mindset ## My Approach: - Understand business goals first, not just tasks - Build scalable and future-proof systems - Combine AI, automation, UX, and performance - Focus on solutions that directly impact revenue and efficiency ## What You Can Expect: - Clean, scalable, production-ready work - High-converting user experiences - AI-powered automation where it adds real value - Long-term technical partnership ### Let’s Build Something Powerful: Whether you are launching a Shopify store, scaling an eCommerce brand, building AI-powered systems, or automating workflows, I can help you turn your vision into a high-performing and scalable reality. Let’s connect and discuss your project. Khushbu Bhati

Top-Rated professional with 8+ years of experience in machine learning, deep learning, artificial intelligence, data science, and predictive analytics. I design, train, and deploy production-grade models in natural language processing (NLP), computer vision, reinforcement learning, and retrieval-augmented generation (RAG) using cutting-edge frameworks like PyTorch, TensorFlow, Keras, and Hugging Face Transformers. My strength is delivering end-to-end AI solutions—from data engineering and feature engineering to MLOps and cloud deployment—on AWS SageMaker, Google Cloud Vertex AI, Docker, and Kubernetes. CORE SERVICES • Large Language Model (LLM) Development • Custom GPT-4, GPT-3.5, Llama 3, Mixtral, and open-source transformer fine-tuning • Retrieval-augmented chatbots, question-answering systems, knowledge-base search • Prompt engineering, evaluation, and agentic workflows with LangChain, LangGraph, LlamaIndex, LangFlow • Computer Vision and Multimodal AI • Image classification, object detection, segmentation, OCR, and visual search • Vision-language models, CLIP, BLIP, and multimodal transformers for product recommendation and analytics • YOLO, Detectron2, OpenCV, and TensorRT optimization for edge and cloud • Advanced Machine Learning & Deep Learning • Supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning • Neural networks, CNN, RNN, LSTM, Transformers, BERT, RoBERTa, FastText, XGBoost, LightGBM, CatBoost • Time-series forecasting, anomaly detection, recommender systems, speech recognition, audio processing • End-to-End MLOps and Data Engineering • Data pipelines, ETL, Apache Spark, feature stores, CI/CD, GitHub Actions • Scalable deployment on AWS, GCP, Docker, Kubernetes, serverless functions • Monitoring, drift detection, automated retraining, model registry, and A/B testing IMPACT HIGHLIGHTS • Boosted recommendation accuracy by 22 percentage points with deep collaborative filtering and matrix factorization • Cut inference latency 40 % using GPU optimization, TensorRT, and autoscaling clusters • Reduced cloud costs 30 % through optimized resource allocation and spot instances • Delivered more than 50 production AI projects across e-commerce, fintech, healthcare, and SaaS TECHNICAL STACK Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, Hugging Face Transformers, SpaCy, NLTK, FastText, BERT, RoBERTa, OpenCV, YOLO, Detectron2, CLIP, BLIP, TensorRT, Apache Spark, Docker, Kubernetes, AWS (EC2, S3, SageMaker, Lambda), Google Cloud (Vertex AI, BigQuery, Cloud Functions), Git, GitHub Actions, Tableau, Power BI, Matplotlib, Seaborn, R-Shiny EDUCATION AND CERTIFICATIONS • MSc in Data Science, University of Waterloo (full-merit scholarship). Thesis in multimodal NLP and computer vision • BSc in Computer Science, University of Bradford (Top 1 %, merit scholarship) • 20+ professional certificates: Stanford Deep Learning, Machine Learning and NLP specializations, Google TensorFlow Developer, Google Data Analytics, AWS Certified Machine Learning, Google Cloud Professional Data Engineer WHY HIRE ME • Proven ability to translate complex deep-learning research into scalable cloud solutions that raise accuracy, speed, and ROI • Expertise across the full data lifecycle: data collection, preprocessing, feature engineering, model training, hyperparameter tuning, deployment, monitoring, and maintenance • Clear, prompt communication in English, reliable delivery, and transparent project management using Agile and Scrum Invite me to discuss how we can apply cutting-edge machine learning, deep learning, and AI to solve your business challenges and accelerate growth.

Hello there, Welcome to Upwork. My name is Pearse Jim. I am a data science enthusiast with a passion for data analysis and visualization. I have a strong background in statistics, mathematics, and programming. I have experience in using various tools and techniques to collect, clean, manipulate, analyze, and visualize data from different sources and domains. I can help you with: Data Science: I can apply machine learning, deep learning, natural language processing, computer vision, and other data science methods to solve various problems and generate insights from data. I can use Python, R, TensorFlow, PyTorch, Scikit-learn, NLTK, OpenCV, and other libraries and frameworks for data science projects. Data Analysis: I can perform exploratory data analysis, descriptive statistics, hypothesis testing, correlation analysis, regression analysis, classification analysis, clustering analysis, anomaly detection, sentiment analysis, text analysis, image analysis, and other types of data analysis. I can use pandas, numpy, scipy, statsmodels, and other packages for data analysis. Web Scraping: I can scrape data from any website using Python, Scrapy, Selenium, BeautifulSoup, Requests, and other tools and libraries. I can handle dynamic content, pagination, login, captcha, and other challenges in web scraping. I can also extract data from APIs and JSON files. Data Extraction: I can extract data from various formats such as CSV, JSON, XML, Excel, SQL, PDF, HTML, etc. I can also convert data from one format to another using Python or other tools. Data Visualization: I can create interactive and engaging dashboards and reports using various tools such as Tableau, Power BI, Plotly, Matplotlib, Seaborn, ggplot2, etc. I am a fast learner and a self-motivated worker. I always strive to deliver high-quality work that meets your requirements and expectations. I have excellent communication skills and I can work independently or as part of a team. If you are looking for a data analysis and visualization expert who can help you with your project or business needs, please contact me and we can discuss further. Thank you for your attention. I look forward to working with you and becoming a valuable member of your team.

Highly skilled Python Developer with 5+ years of experience in web scraping, data engineering, and automation. Expertise in building scalable data pipelines, extracting data from complex websites (including JavaScript-heavy pages), and transforming raw data into actionable insights. 🔹 Web Scraping: BeautifulSoup, Scrapy, Selenium, Playwright, APIs (REST & GraphQL), Proxies (Rotating, Residential) 🔹 Data Engineering: Pandas, NumPy, SQL (PostgreSQL, MySQL), Airflow, ETL Pipelines 🔹 Automation: Bot Development, Workflow Automation, RPA (UiPath, AutoHotKey) 🔹 Cloud & Big Data: AWS (Lambda, S3, Glue), Google Cloud, Apache Spark 🔹 Frameworks: Django, Flask, FastAPI 🔹 Other Skills: Docker, Git, CI/CD, Machine Learning (Basic) Passionate about solving complex data challenges and delivering high-quality, efficient solutions.

Most AI integrations don't fail because of the model. They fail because the system around it wasn't engineered for production. Wrong state management. Fragile tool calls. A frontend that looks good but doesn't reflect what's actually happening in the backend. An AI that works in isolation and falls apart the moment it has to call real tools, sync real data, and make real decisions under load. I've spent four years closing that gap. I build full-stack AI systems end-to-end: backend, frontend, AI agents, APIs, and the infrastructure that holds everything together when real users hit it at scale. Production platforms I've shipped are handling thousands of real interactions daily across voice, email, chat, and CRM. The kind of systems that still work at 11pm on a Sunday when nobody's watching. At Rawk.ai, I built the backend infrastructure and cut average voice response latency from 900ms to 320ms. At VoiceCake, I was the core developer, built the full agent pipeline, booking system, UI, and CRM integrations across HubSpot, Salesforce, Zoho, and clinic EMR systems. Dynaris is an AI front desk platform I built for multi-location businesses handling inbound leads across voice, email, and chat with automated qualification and real-time CRM sync. Deployed live across healthcare, dental, real estate, home services, mortgage, and e-commerce. Core Stack Python and FastAPI for backend systems and APIs. React for frontend interfaces and dashboards. LangChain and LangGraph for multi-step AI orchestration, tool calling, memory management, and autonomous decision-making. Vapi, Retell AI, Twilio, and WebRTC for voice pipelines with sub-500ms latency. RAG systems using Pinecone, FAISS, and ChromaDB. CRM integrations with HubSpot, Salesforce, Zoho, Google Calendar, and custom APIs. Multi-channel automation across voice, SMS, WhatsApp, email, and web chat. GDPR and HIPAA-compliant builds for healthcare and dental clients. How I Work The part most developers underestimate is not the model, it is everything around it. State management, API reliability, latency under load, fallback behavior, CRM sync that actually works, and a frontend that gives your team real visibility into what the system is doing. That is where production systems succeed or fall apart. I have been the person who owns the spec, not just implements it. Clean architecture, documented handoffs, real latency targets, and systems built to scale beyond the demo. I do not use no-code builders or drag-and-drop tools. Everything I build is engineered for production, maintainable, and built to hold up under real usage. Let's Talk If you are building an AI-powered product, integrating AI into an existing system, or replacing manual workflows with something that actually scales, send me your current stack and use case. I will tell you exactly what it takes to ship it properly.

Feedback from Upwork Client ⭐⭐⭐⭐⭐ 5.00 "Liban demonstrated exceptional attention to detail and delivered the job on time. I highly appreciate his professionalism and dedication. " 👋🏼🙂Hi there! I am a full-stack developer (Backend-heavy) with 5 years of experience in Python (Django, FastAPI) and Node.js. Skilled in frontend frameworks like React and Next.js, I build scalable and efficient web applications. Expert in AI engineering, including RAG, agents, automation, and intelligent integrations. Proficient in scripting, system design, and end-to-end solution development. Passionate about merging full-stack engineering with cutting-edge AI innovation to create impactful products. Programming Languages: ✅ Python | Java | JavaScript | TypeScript Full Stack Development Expertise: ✅ Front End Development: React | Next | Redux | TypeScript | JavaScript | Tailwind CSS ✅ Back End Development: 𝘿𝙟𝙖𝙣𝙜𝙤, 𝙁𝙡𝙖𝙨𝙠, 𝙁𝙖𝙨𝙩𝘼𝙋𝙄, and 𝙀𝙭𝙥𝙧𝙚𝙨𝙨 ✅ Databases: MySQL | PostgreSQL | MongoDB ✅ Architecture: Clean Architecture | Model-View-Controller (MVC) Web Scraping Expertise: ✅ Selenium, Scrapy, Beautiful Soup Machine Learning & Data Science : ✅ Python, Scikit-learn, Pandas ✅ TensorFlow, PyTorch, Numpy ✅ Skilled in implementing neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other deep learning architectures ✅ Experience in natural language processing (NLP), and computer vision Why Me? ✔️ Timely and high-quality project delivery. ✔️ Strong emphasis on clean and maintainable code. ✔️ Effective communication and prompt responses. ✔️ Dedicated and hardworking approach for successful outcomes. ✔️ Passion for exploring new technologies and innovative solutions. ✔️ Expertise in a wide range of technologies. ✔️ Committed to providing value and ensuring client satisfaction. Thank you for taking the time to review my profile!

🎓 BSc Physics, Particle Physics (University of Groningen) 💻 Expert in Python, Power BI, Excel, MATLAB, HPC and API pipelines 📊 Experienced in API data extraction, data cleaning, visualization, ML modelling Recently, I built an end-to-end Python pipeline for extracting, cleaning, and analysing ~300k publications from the OpenAlex API, generating clean, analysis-ready datasets and visualizations that summarize top concepts and publication trends. [See full project and GitHub in Portfolio Projects] ════ Who Am I? ════ Hi, I’m Richard. I recently completed a BSc in Physics with a specialization in Particle Physics, where I gained hands-on experience analysing complex datasets and solving abstract, high-level problems. I’ve worked on everything from noisy detector data to molecular parity violation research, translating raw data into clear, reproducible insights. I help clients turn raw, messy data into clean, structured datasets ready for analysis and visualization. With a BSc in Physics (Particle Physics) and experience handling large-scale datasets, I specialize in API data extraction, automated data cleaning, exploratory analysis, and machine learning modelling. ════ What I Do (Services) ════ ✔️ API Data Extraction & Automation Collect data from APIs, web sources, or databases Handle large datasets, pagination, and automated pipelines Return clean, structured data in CSV, Parquet, or requested formats ✔️ Data Cleaning & Pre-Processing Interpolate missing data, remove noise, normalize datasets Validate results using multiple methods for robustness Prepare datasets optimized for analysis or ML applications ✔️ Exploratory Data Analysis & Feature Engineering Analyse patterns, trends, or correlations Extract and engineer features for further modelling Deliver results in interpretable, ready-to-use formats ✔️ Data Visualization & Reporting Python, Excel, or Power BI dashboards Reports designed for any audience from non-technical to scientific. Clear, reproducible, and ready for presentation ✔️ Machine Learning & Statistical Modelling Regression: Linear, Polynomial, Logistic, Regularized, Random Forest Clustering: K-Means, DBSCAN, Hierarchical Classification: Logistic Regression, Decision Trees, Random Forest, Gradient Boosting Custom ML workflows tailored to your data and goals Open to taking flexible ML method requests at negotiable rates, providing high-quality, reproducible work while expanding my skillset ════ How I Work ════ 1️⃣ Plan & Understand Goals I take time to understand your objectives, discuss options, and outline deliverables, timelines, and milestones. 2️⃣ Frequent Updates & Transparency You’ll receive clear, regular updates. Questions and challenges are addressed promptly (within 24 hours). 3️⃣ Reliable, Reproducible Results Projects are delivered on time, tested, documented, and maintainable for future use. 4️⃣ Post-Delivery Support I provide ongoing guidance and answer questions for several months after project completion, ensuring smooth adoption and fully functional, reliable solutions. ════ Deliverables You Can Expect ════ Clean, optimized datasets (CSV, Parquet, or requested format) Automated, ready-to-use, reproducible pipelines in Python or Jupyter Notebooks Custom dashboards and visual reports Full documentation and optional post-delivery support

Full-Stack & AI Engineer who takes products from idea to live: AI Agents, RAG systems, GPT & Claude-powered SaaS, and scalable full-stack systems. I work across the full stack: Rails, Python, Elixir, NestJS, React, Next.js and I own the whole build: architecture, backend, frontend, deployment, and handoff. I'm Nabeel, a Full-Stack Engineer with 9+ years shipping real products. Not prototypes. Not MVPs that collapse under load. Production systems that scale, hold up, and grow with your business. WHY CLIENTS CHOOSE ME ✔ 9+ years shipping systems at real scale 100K+ users, 100K+ daily requests ✔ Full ownership: architecture, backend, frontend, DevOps, and handoff ✔ Deep LLM experience across GPT-4, Claude, Llama, RAG, and multi-agent systems ✔ 130+ projects delivered across SaaS, Fintech, Healthcare, and E-commerce ✔ 100% Job Success Score across every engagement WHAT I BUILD WITH AI AI agents and assistants | Chatbots | RAG systems with private data | Knowledge bases | Document processing | Semantic search | AI automation | AI SaaS products | Research copilots AI MODELS & FRAMEWORKS OpenAI (GPT-4, GPT-4o) | Claude | DeepSeek | Llama | Mistral | HuggingFace LangChain | LlamaIndex | AutoGen | AutoGPT | Multi-agent workflows | Function/tool calling FRONTEND React | Next.js | Vue | Angular | TypeScript | Tailwind | Redux | SaaS dashboards | Responsive UI BACKEND Ruby | Rails | Elixir | Phoenix | Python | Node.js | FastAPI | Django | Flask | NestJS | REST & GraphQL APIs | Microservices | Auth (JWT, OAuth) DATABASES PostgreSQL | MySQL | MongoDB | Redis | Firebase | Supabase CLOUD & DEVOPS AWS | GCP | Azure | Docker | Kubernetes | Vercel | Netlify AUTOMATION & WORKFLOWS Zapier | n8n | Make | Power Automate | Airtable | Notion LOW-CODE TOOLS Bubble | Retool | Glide | Softr | Adalo MACHINE LEARNING & DATA PyTorch | TensorFlow | Scikit-learn | Pandas | NumPy INDUSTRIES SaaS | Fintech | Healthcare | Real Estate | E-commerce | AI & Data | Marketing Automation | CRM | Recruitment If you're building an AI product, SaaS platform, or automation system and need someone who can take it from concept to production, send me a message and let's scope it out. Nabeel Ahmad

Hello there! I'm Kevin, a passionate Python developer and data engineer with a flair for turning complex problems into elegant solutions. With a strong background in both software development and data engineering, I bring a unique blend of skills to the table. I have a deep understanding of Python and its ecosystem, leveraging it to create robust and scalable applications. Whether it's web development, automation, or scripting, I thrive on building clean and efficient code. My proficiency extends to frameworks such as Django and Flask, allowing me to craft dynamic and feature-rich web applications. As a data engineer, I specialize in designing and implementing data pipelines, ensuring seamless and efficient data flow. From data extraction to transformation and loading (ETL), I have hands-on experience with tools like Apache Spark and Apache Airflow. I am well-versed in handling large datasets and optimizing data processes for enhanced performance. I approach challenges with a problem-solving mindset, breaking down complex problems into manageable tasks. My goal is to deliver solutions that not only meet but exceed the client's expectations. I am committed to writing code that is not only functional but also maintainable and scalable for future growth. I thrive in collaborative environments and believe in effective communication to ensure project success. Whether working with a team or independently, I am dedicated to delivering high-quality work within the stipulated timelines. In the ever-evolving field of technology, I am committed to staying updated with the latest trends and tools. I embrace new challenges as opportunities for growth and constantly seek ways to enhance my skill set. If you're looking for a Python developer and data engineer who is passionate about crafting innovative solutions, I'd love to discuss how I can contribute to your project. Let's connect and turn your ideas into reality!

I help companies turn raw data into clear, actionable dashboards — from financial reports to sales performance tracking. What I deliver: Power BI dashboards: end-to-end development, from data modeling to interactive reports with DAX measures, slicers, and drill-throughs. Excel dashboards: dynamic reports using advanced formulas, pivot tables, and VBA when needed. Power Query: data transformation and ETL automation connecting multiple sources (databases, APIs, Excel files, SharePoint). CaptivateIQ: sales compensation management — building commission plans, validating payouts, and creating performance reports for sales teams. I hold an MBA in Data Science & Analytics (USP/ESALQ) and have 4+ years of hands-on experience delivering BI solutions. Currently Top Rated on Upwork with 100% Job Success. Let's build dashboards that make decisions easier. Reach out!