Looking to build something impactful across WEB & MOBILE with the power of AI and Data that actually moves the needle for your business? I'm a results-driven AI/ML Engineer and Full-Stack Developer with a Master's degree in Artificial Intelligence & Data Science and 5+ years of hands-on experience delivering intelligent, production-ready digital solutions. I bridge the gap between cutting-edge AI and real-world software engineering from raw data pipelines and ML model deployment to polished frontends, mobile apps, and cloud-native microservices. Whether you're a startup building your MVP or an enterprise automating complex workflows, I bring the right mix of technical depth, system thinking, and clean execution to get you there fast, secure, and scalable. 💡 WHAT I DELIVER ✅ Enterprise-grade AI/ML systems and GenAI-powered SaaS products ✅ End-to-end full-stack web and mobile applications ✅ Intelligent automation workflows that save time and reduce cost ✅ Scalable cloud architectures with modern DevOps practices ✅ Clean, maintainable code with production-ready architecture 🧠 AI / MACHINE LEARNING & DATA SCIENCE I design and deploy end-to-end ML systems — from exploratory data analysis and feature engineering to model training, evaluation, and production deployment. Core expertise includes Machine Learning, Deep Learning, NLP, Computer Vision, and Time-Series Forecasting. I work extensively with Large Language Models including GPT-4, Claude, Gemini, Llama 3, and HuggingFace Transformers. I implement Retrieval-Augmented Generation (RAG) for enterprise knowledge systems, build AI Agents and Multi-Agent Systems using LangChain and LangGraph, and manage full MLOps pipelines covering model versioning, monitoring, and retraining. I also work across AWS SageMaker, GCP Vertex AI, and Azure ML Studio for cloud-based ML deployment. Recent AI Projects: - Healthcare: Medical AI assistant converting patient conversations into structured EMR notes - Crypto: AI trading co-pilot for real-time investment decision support - Construction: PDF data extraction engine for architectural and permit documents - IT & Networking: Autonomous agents that proactively detect and resolve network issues - Marketing: AI-driven campaign planning and content generation platform 🤖 AI AUTOMATION & AGENTIC SYSTEMS I build intelligent automation that transforms how businesses operate — reducing manual overhead and unlocking data-driven decision-making at scale. This includes AI Agents for support, compliance, finance, HR, and supply chain workflows, multi-agent environments with autonomous decision-making, and workflow automation using Make, n8n, and Zapier. I also develop Generative AI tools for content generation, market research, and conversational bots. 💻 FULL-STACK WEB DEVELOPMENT I build modern, responsive, and scalable web applications from frontend UI to backend APIs and databases, architected for long-term growth. On the frontend I work with React.js, Next.js, and TypeScript. On the backend I use Node.js, FastAPI, Flask, Django, and Laravel. I design REST APIs, GraphQL, and WebSocket-based real-time systems, and work with databases including PostgreSQL, MySQL, MongoDB, Supabase, and BigchainDB. My architecture approach follows Clean Architecture, Domain-Driven Design, and microservices patterns. 📱 MOBILE APP DEVELOPMENT I deliver cross-platform mobile apps with native-quality performance, real-time features, and seamless API integrations. My primary mobile expertise is Flutter and Dart using Provider and BLoC state management. I also build with React Native for cross-platform iOS and Android, support native iOS development, and implement push notifications, offline support, and real-time features. ☁️ CLOUD, DEVOPS & INFRASTRUCTURE I handle production-grade deployments across major cloud platforms with modern CI/CD pipelines and containerized infrastructure. On AWS I work with Lambda, S3, EC2, ECS, and SageMaker. On GCP I use Cloud Run, Compute Engine, and Vertex AI. On Azure I work with ML Studio and Azure DevOps. My DevOps toolset includes Docker, Kubernetes, Nginx, GitHub Actions, and Bitbucket Pipelines. Programming languages I work in: Python, TypeScript, C++, PHP, Golang, and SQL. 🏆 WHY CLIENTS CHOOSE ME Master's-level AI/ML foundation combined with real production engineering experience. Full-stack ownership means you never need to coordinate multiple developers. I handle everything from data pipelines to UI. I build solutions for scale, not just demos, with clean architecture, proper testing, and documented code. I communicate clearly, deliver on milestones, and have been trusted by startups and tech-focused enterprises across 5+ years of professional work. Free consultation available for high-impact projects. "While rookies write code, professionals design systems that scale." 📩 Let's connect and discuss your project. I'm available to start immediately and deliver results aligned with your business goals.

Hey, Welcome to my Upwork profile, where smart technology, creative problem‑solving, and data-driven execution come together to build impactful digital solutions I’m GAUR, a certified Python AI/ML Engineer specializing in building smart, scalable, and production‑ready AI solutions, including custom machine learning models, AI integrations, chatbots, automation systems, data tools, and deep learning applications. I help businesses leverage data and transform ideas into fully functional AI‑powered products. # What I Deliver i. AI/ML Model Development Custom machine learning, deep learning, NLP, generative AI, and predictive analytics tailored to your use case. ii. Model Training, Optimization & Deployment End‑to‑end workflows using Python, cloud services, APIs, containers, and MLOps. iii. Chatbots (Text + Voice) LLM‑powered support bots, multi‑language voice bots, conversational AI, custom assistants, and chatbot automation using Python or no‑code platforms. iv. AI Integration for Apps & Workflows Connect AI models to your product, SaaS tools, CRM, websites, automation systems, or APIs. v. Computer Vision & Face Recognition Face detection, face recognition, object tracking, and image‑based ML systems using OpenCV, Mediapipe, and deep learning. vi. Data Scraping & Automation Tools High‑quality structured data from any website using Beautiful Soup, Scrapy, Selenium, Playwright, and custom scrapers. vii. Data Visualization & Analytics Interactive dashboards, business insights, and data storytelling using Python and BI frameworks. # Core Tech Stack Python, TensorFlow, PyTorch, Hugging Face, Scikit‑learn, OpenCV, FastAPI, Flask, Streamlit, Pandas, NumPy, Selenium, Scrapy, Beautiful Soup, LLM APIs, No‑code AI tools, Speech‑to‑Text, TTS, Transformers, Data Visualization, Power BI, Tableau. “Let’s connect to build something AI smart and intelligent, leveraging ML and Python to solve complex challenges with clarity and scale.” Cheers, GAUR

AI Engineer with over 6 years of hands-on experience in Natural Language Processing (NLP), Computer Vision, and Recommender Systems. With a proven track record on Kaggle, I'm ranked in the top 10% of competitors worldwide. 🌍 My expertise extends to designing, training, testing, and deploying end-to-end applications using Django, Nginx, and Gunicorn on platforms such as AWS, Heroku, and GCP. I have a solid background in working with REST APIs and containers, ensuring smooth integration and deployment of AI solutions. 🚀 My technical toolkit includes: 🔸 Deep Learning Models: Keras, TensorFlow, PyTorch 🔸 Batch & Stream Processing: Spark SQL 🔸 Backend Development: PostgreSQL 🔸 AWS Services: S3, Kinesis, Dynamo DB, Elasticsearch, Redis via Boto3 In the NLP domain, I have worked on developing chatbots, data extraction pipelines, text classification, and sequence labeling. I have also finetuned large language models like GPT-3 and LLAMA for specific use cases. In Computer Vision, I've worked on object detection, OCR models, player and ball tracking in sports analytics, video analytics and more. I have a track record of creating efficient models for fast processing and small memory usage. In Generative AI, I have developed high-quality image generation models using stable diffusion and text generation models using OpenAI GPT models. I've had the privilege to work with diverse remote teams from the USA, Russia, Germany, Japan, and the Philippines, honing my collaboration and communication skills. Let's leverage AI to transform your business processes, enhance customer experiences, and unlock new opportunities. Reach out to discuss how we can collaborate to achieve your goals. Looking forward to helping you bring your AI vision to life! 😊

I design production-grade AI automation systems that replace manual workflows, connect fragmented tools, and drive real business outcomes. I’m not just building automations; I’m building end-to-end systems that handle lead flow, customer journeys, backend operations, and AI-driven decision-making. With deep expertise in n8n, Make, APIs, and AI systems, I help companies move from scattered tools to fully automated, scalable infrastructure. ⚡ What I Actually Do I architect and deploy automation systems that: - Capture, qualify, and nurture leads automatically - Connect CRMs, payment systems, and backend APIs - Run AI-powered workflows (GPT, agents, scoring, summarization) - Automate sales pipelines, booking systems, and follow-ups - Process data pipelines (ETL, enrichment, reporting) - Handle multi-client / multi-tenant automation setups 🧠 Real Systems I’ve Built AI Lead Qualification Engine (n8n + GPT + Airtable + Twilio) → Scores leads, triggers follow-ups, books meetings automatically Multi-source Intake System (Webhook + Voicemail + CSV) → Normalizes and routes leads into a unified pipeline AI Content & Ads Automation → Generates ad copy, creatives, and publishes via APIs Research Agent Workflow → Multi-step AI research with structured outputs Backend Automation (GHL → n8n → API systems) → Handles purchases, subscriptions, and provisioning logic 🛠️ Core Stack n8n (advanced workflows, error handling, scaling) Node.js / Make / Zapier OpenAI / AI APIs (GPT, agents, automation logic) REST APIs & Webhooks (custom integrations) Airtable / Google Sheets / CRMs (HubSpot, GHL, etc.) Twilio / SendGrid / WA integrations 🎯 What Makes Me Different Most freelancers automate tasks. I design systems that run your business processes end-to-end. - Built for reliability (error handling, retries, logging) - Designed for scale (multi-client, modular workflows) - Focused on business impact, not just tech 🚀 If You Need: - AI automation replacing manual operations - A robust n8n / Make / backend automated system (not a fragile one) - CRM + API integrations that actually work - A scalable backend automation architecture 👉 I’m the person you bring in. 🤝 Let’s Build Something That Runs Without You Tell me your workflow — I’ll turn it into an automated system.

Namaste 🙏! I'm a passionate Data Scientist with an academic foundation from Northwestern University, deeply committed to advancing AI and Machine Learning across healthcare, computational biology, and scientific discovery—with particular strength in mathematically rigorous, FDA-aligned model development. Over the past year, I have successfully designed and implemented AI-driven solutions for ECG classification, denoising, medical imaging, and computational chemistry. My expertise blends deep neural architectures with advanced mathematics—Physics-Informed Neural Networks (PINNs), probability theory, stochastic processes, variational methods, and numerical optimization—to solve complex real-world problems with scientific defensibility. 🏥 FDA-Ready Clinical AI Development I have worked closely with FDA regulatory experts to bring models through clinical validation pipelines, ensuring they meet the rigor expected of medical-grade AI. My team is well-equipped to handle FDA documentation requirements (510(k) submissions, Software as a Medical Device (SaMD) artifacts, predicate analysis, validation reports, and risk management per IEC 62304 / ISO 14971) once a model is ready for launch. This means clients don't just get a working model—they get one built with regulatory submission in mind from day one. 🔬 Recent Work & Expertise in AI for Science & Medicine: ✅ ECG Signal Processing & Classification: Built deep learning models (CNNs, LSTMs, Transformers) for denoising, anomaly detection, and classification of ECG, PCG, PPG, and SCG signals—bringing them to gold-standard PhysioNet quality. ✅ Medical Image Processing (DICOM): Developed AI-driven solutions for lumbar spine classification, CT segmentation (TotalSegmentator models), fat tissue segmentation, bone mineral density estimation, and venous insufficiency detection via thermal imaging. ✅ Physics-Informed Neural Networks (PINNs): Applied PINNs to embed governing differential equations directly into the loss function—producing models that respect physical laws, generalize on sparse data, and are inherently more interpretable for scientific and clinical applications. ✅ Drug Discovery & Computational Biology: Used ML techniques to analyze molecular structures and optimize pharmaceutical compound discovery. ✅ Diffusion Models for Vision: Worked on Stable Diffusion and LoRA fine-tuning for text-to-video and image-to-video pipelines without relying on third-party APIs. ✅ AWS AI/ML Pipeline Deployment: Set up cloud-based pipelines on AWS for training, hosting, and deploying scalable ML models. ✅ Mathematical & Optimization Techniques: Leveraged variational calculus, FFT, wavelet transforms, probability theory, and evolutionary algorithms for feature engineering and model enhancement. 🧠 Core Technical Stack: 🚀 Deep Learning Frameworks: TensorFlow, PyTorch, JAX 📐 Mathematical Foundations: PINNs, probability and stochastic processes, variational calculus, numerical optimization, Bayesian inference 🔬 Generative & Diffusion Models: Stable Diffusion, LoRA, GANs, VAEs 📊 Classical ML: Random Forest, SVM, Gradient Boosting, RAG-based retrieval 👁 Computer Vision: CNNs, Vision Transformers, OpenCV, DICOM processing using SwinUNETR (3D U-Net + Swin), segmentation with nnU-Net 📝 NLP: Transformer-based LLMs, Hugging Face, LangChain, LlamaIndex 💡 Signal Processing: FFT, spectrograms, wavelet transforms, optimization methods ☁ Cloud & MLOps: AWS, Azure, GCP, Kubernetes, FastAPI, DevOps pipelines Why Work With Me? 🔹 Specialized in AI for healthcare, computational biology, and scientific discovery 🔹 Strong mathematical and probabilistic foundation—not just black-box deep learning 🔹 Experience working alongside FDA experts on clinical validation, with a team prepared to handle regulatory documentation 🔹 End-to-end delivery: from research and prototyping to deployment and submission-ready artifacts 🔹 Real-world projects that impact both research and industry Let's connect and build scientifically rigorous, regulation-ready AI together!

Need an AI system that actually ships and saves time? With 3+ years in AI & chatbot development, I've delivered 10 completed projects and a 5.0-star record for B2B teams. I build ChatGPT API, RAG, voice AI, and Python automation that turn manual workflows into reliable production systems. 🎯 HOW I CAN HELP YOU AI CHATBOT DEVELOPMENT Turn repetitive support and FAQ handling into instant, accurate conversations that save time and improve customer response speed. I build production-ready chatbots with ChatGPT API, LangChain, and RAG so they can understand context, retrieve the right knowledge, and reduce manual workload. VOICE AI AGENTS Replace missed calls and slow phone handling with voice systems that answer, assist, and route conversations automatically. I have shipped real-world voice AI for a dental office and a WhatsApp voice bot integrated with CAD software, proving these systems can work in live business settings. RAG KNOWLEDGE SYSTEMS Give your team and customers faster access to the right information without digging through documents. My retrieval-based systems are designed to improve answer accuracy and keep responses grounded in your own data, including custom knowledge workflows with MCP integration. PYTHON AUTOMATION PIPELINES Cut down on repetitive operations like scraping, analysis, and data handling so your business can move faster. I build Python automation for web scraping, sales order analysis, Fusion360 workflows, and AI-powered image search to reduce manual effort and speed up decisions. COMPUTER VISION AND ML SOLUTIONS Turn images, signals, and visual data into useful business insight and automation. I develop and deploy models for image analysis, object detection, smile design, EMG behavior recognition, and prediction tasks using PyTorch, TensorFlow, and OpenCV. 🏆 RESULTS "Great working with Hassan, always professional and delivered the project before the deadline" – Rumman R., Client "Hassan has always overdelivered and I will be working with him again!" – Rumman R., Client "It is a pleasure working with Muhammad. He is very capable, quick and does a very good job completing the project on time and on budget. Communication with Muhammad were clear and constructive, and he demonstrated a sincere desire to meet and exceed expectation." – Client, Client 🎖 Machine Learning with Python 🎖 WordPress Developer See full case studies in my portfolio below. 🤝 𝗚𝗘𝗧 𝗜𝗡 𝗧𝗢𝗨𝗖𝗛 Have an AI idea ready to launch? Message me on Upwork for a free consultation and let's turn it into a working system your business can rely on. I typically respond within 4 hours and can offer quick turnaround for urgent projects. 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 I build AI systems in Python with ChatGPT API, LangChain, and RAG, then connect them to real data through LLaMA and MCP custom servers. For automation and analysis, I use OpenCV, PyTorch, and TensorFlow to ship reliable computer vision and machine learning workflows. I keep delivery organized in clear milestones, test outputs carefully, and refine each build until it works in production. I build ChatGPT API chatbots, automate workflows with Python, and design RAG knowledge systems with LangChain for businesses that need reliable AI. I also develop computer vision and NLP solutions that turn messy data into useful products.

𝐌𝐨𝐬𝐭 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐟𝐚𝐢𝐥 𝐰𝐡𝐞𝐧 𝐭𝐡𝐞𝐲 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐰𝐨𝐫𝐤 𝐢𝐧𝐬𝐢𝐝𝐞 𝐫𝐞𝐚𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬. I design and build LLM-powered systems that automate business operations using RAG, AI agents, and custom backends. The goal is simple: reduce manual work, fit into how your team already operates, and build something people actually use day to day. 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝: - AI automation systems for business workflows - AI agents for support, operations, and internal tools - RAG-based knowledge systems connected to docs, PDFs, or databases - Chatbots that can take real actions, not just answer questions - Backend systems for LLM-powered applications, including APIs and integrations 𝐖𝐡𝐞𝐧 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐫𝐞𝐚𝐜𝐡 𝐨𝐮𝐭: - When repetitive manual processes are slowing things down - When internal knowledge is scattered or hard to access - When support or operations need automation - When they want to add real AI functionality into an existing product - When previous AI solutions did not work in real-world usage 𝐇𝐨𝐰 𝐈 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬: I focus on building systems that work in practice, not just demos. That means designing around your actual workflows, keeping the backend clean and maintainable, and making sure everything integrates properly with your tools and data. I also prioritize clear communication and iterative delivery. Most AI projects fail because of execution, not because the technology is lacking. My focus is making sure what we build actually works reliably once it is deployed. 𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: LLMs and AI tools include OpenAI, Claude, Gemini, and Llama Frameworks include LangChain and LangGraph Vector databases include Pinecone, FAISS, and Chroma Backend development with Python, FastAPI, Flask, and Django Infrastructure and integrations using Docker, APIs, and AWS 𝐑𝐞𝐜𝐞𝐧𝐭 𝐰𝐨𝐫𝐤 - AI agents built for workflow automation - RAG systems connected to company knowledge bases - NLP-based clustering and data processing systems - Fixing and deploying dialogue systems - Personalization systems and machine learning pipelines If you are building something with AI, or trying to figure out the right way to approach it, feel free to message me with your use case. I can help you scope it properly and turn it into something that actually works. 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 AI Engineer, LLM Engineer, Generative AI, AI Automation, AI Agents, Chatbot Development, RAG, Retrieval Augmented Generation, OpenAI API, Claude API, Gemini API, Llama, LangChain, LangGraph, Python, FastAPI, Backend Development, API Integration, Workflow Automation, NLP, Semantic Search, Vector Database, Pinecone, FAISS, ChromaDB, Knowledge Base Chatbot, PDF Chatbot, Embeddings, ML Pipeline, AI SaaS Development

🚀 AI Solutions for Scalable Impact — LLMs, RAG, LangChain, and Full-Stack Development 👋 Hi, I’m Serhii - representing Springs, a Canada, Portugal & Ukraine-based AI & ML development agency with 15+ years of experience delivering enterprise-grade AI systems that turn complex ideas into scalable, secure products. We combine Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and custom software engineering to help businesses innovate faster and smarter. Services: 🧠 AI/ML Solutions — GPT-4, LLaMA, Mistral, Claude, Gemini 🔍 Discovery & Technical Consultancy 💻 Web & Mobile Development with AI integration ⚙️ DevOps & Cloud Scaling 🔒 Security-First Development & QA 🛠 Ongoing Support & Maintenance 🏢 Industries: Artificial Intelligence | Computer Vision | FinTech | Education | Logistics & Transportation | Retail | Real Estate | Sales & Marketing 🛠 Tech Stack: Python (Django, FastAPI, Pandas), PyTorch, TensorFlow, Keras, LangChain, Pinecone, ChromaDB, Vector Databases, OpenAI API, GPT-4o, n8n, MERN/MEAN, React, Vue, Angular, AWS, Docker, Kubernetes, PostgreSQL, MongoDB 💡 Why Springs? 🔷 Transparent partnerships — honesty first 📋 Deep Discovery Phase to ensure clarity 🛡 Standardized security best practices ✅ Proven enterprise delivery track record

Hi. Its Talha - Skilled AI engineer with 3 years of experience - Winner of 3 international deep learning competitions in NLP and medical imaging hosted by Coda-lab, TIRA, and Grand Challenge - Creator of a comprehensive Udemy course on deep learning competition strategies - Author of 15 publications in fields like medical imaging, NLP, deep learning, and biomedical signal processing, with over 150 citations and an h-index of 7 - Holds a master's degree in data science - Specializes in NLP, particularly in developing ChatGPT chatbots using Langchain - GitHub profile: talhaanwarch for project exploration - Committed to delivering high-quality, error-free results; ideal candidate for your project

Research, development and consulting in projects involving Artificial Intelligence, Neural networks, Statistics, Computer vision, Signal and Image processing, Operation research, and Algorithm design. Ph.D. in Computer Science and Applied Mathematics