Hire the Best Supervised Learning Specialists

🟢 I'm Muhammad Asad, PhD in AI, with 12+ years of experience in software and AI development. My core expertise is developing Python-based AI systems, including RAG pipelines, Agentic AI workflows, and evaluation-driven LLM applications, along with seamless integration into PHP and WordPress systems. 👉 Let’s schedule a 𝗳𝗿𝗲𝗲 𝟯𝟬-𝗺𝗶𝗻𝘂𝘁𝗲 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻 𝗰𝗮𝗹𝗹 to discuss your project! 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗢 𝗕𝗘𝗦𝗧 ✔️ RAG Systems (Retrieval-Augmented Generation) End-to-end pipelines (Retrieve → Generate → Validate → Summarize) with grounding and hallucination control. ✔️ Agentic AI Systems Multi-step AI workflows with tools, APIs, and memory (LangChain, LangGraph, LlamaIndex). ✔️ LLM Evaluation & Guardrails -Faithfulness & groundedness validation - Execution Accuracy (ExecAcc) - JSON validation pipelines - Hallucination detection - Safe AI systems (SQL guardrails, tool constraints) - Latency monitoring (p50 / p95) ✔️ AI Backend Development (Python) FastAPI / Flask-based scalable AI systems with structured outputs, logging, and observability. ✔️ AI Deployment & Production Systems Cloud-based deployment with monitoring, scalability, and real-time inference. ✔️ Automation Systems n8n workflows, webhook integrations, and business process automation. ✔️ AI Integrations for WordPress* -AI chatbots for websites - Content generation & SEO automation -Custom plugins with LLM APIs - AI-powered customer support & lead generation -Integration with WooCommerce, forms, and CRMs 𝗔𝗜 𝗘𝗫𝗣𝗘𝗥𝗧𝗜𝗦𝗘 ✔️ Generative AI (GPT-4, Claude, Groq, Ollama, MedGemma) ✔️ Python-based AI systems (RAG, Agentic workflows, evaluation pipelines) ✔️ Chatbots & AI Assistants ✔️ Text-to-SQL systems ✔️ AI Copilots (Healthcare & Business Automation) ✔️ Prompt Engineering & Structured Outputs 𝗙𝗨𝗟𝗟-𝗦𝗧𝗔𝗖𝗞 𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗠𝗘𝗡𝗧 (𝟭𝟮+ 𝗬𝗘𝗔𝗥𝗦) ✔️ Backend: Python (FastAPI, Flask), PHP (Laravel, CodeIgniter), Node.js ✔️ Frontend: React, Streamlit, Gradio ✔️ CMS: WordPress (custom plugins, AI integrations) ✔️ Databases: PostgreSQL, MySQL, MongoDB, SQLite, Airtable ✔️ APIs & Integrations: REST APIs, Payment gateways, Webhooks ✔️ Automation: Python, n8n 𝗖𝗟𝗢𝗨𝗗 & 𝗧𝗢𝗢𝗟𝗦 ✔️ AWS (S3), Render, Docker ✔️ LangChain, LangGraph, LlamaIndex ✔️ LangSmith (LLM observability & evaluation) ✔️ GitHub, Jira, VS Code, Google Colab 𝘾𝙇𝙄𝙀𝙉𝙏 𝙏𝙀𝙎𝙏𝙄𝙈𝙊𝙉𝙄𝘼𝙇𝙎: ✔𝗝𝗼𝗯 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝘀𝗰𝗼𝗿𝗲: 𝟭𝟬𝟬% ✔𝗔𝘃𝗲𝗿𝗮𝗴𝗲 𝗿𝗮𝘁𝗶𝗻𝗴: 𝟱.𝟬/𝟱.𝟬 𝗛𝗲𝗿𝗲 𝗶𝘀 𝗮 𝘀𝗮𝗺𝗽𝗹𝗲 𝗼𝗳 𝗿𝗲𝘃𝗶𝗲𝘄𝘀 𝗹𝗲𝗳𝘁 𝗯𝘆 𝗺𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀. 𝗖𝗵𝗲𝗰𝗸 𝘁𝗵𝗲 "𝗪𝗼𝗿𝗸 𝗛𝗶𝘀𝘁𝗼𝗿𝘆" 𝘀𝗲𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗽𝗿𝗼𝗳𝗶𝗹𝗲 𝗳𝗼𝗿 𝗵𝘂𝗻𝗱𝗿𝗲𝗱𝘀 𝗼𝗳 𝗼𝘁𝗵𝗲𝗿 𝗲𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝘁 𝗿𝗲𝘃𝗶𝗲𝘄𝘀 𝗮𝗻𝗱 𝗱𝗶𝘃𝗲𝗿𝘀𝗲 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁 𝘁𝗶𝘁𝗹𝗲𝘀. ⭐⭐⭐⭐⭐ "Muhammed is very professional in delivering the work with High quality. He has a sense of urgency during communication for the requested work. Highly recommended and will surely work with him again in future tasks." ⭐⭐⭐⭐⭐ "He was a great communicator submitted the work way ahead of time, and made all the required changes. the work was of the highest quality I would highly recommend him and work with him again in the future" ⭐⭐⭐⭐⭐ "Professional, friendly, accurate His communication was top-notch, he met all deadlines, and his skills were reasonably strong" ⭐⭐⭐⭐⭐ "This is my first time working with Muhammad Asad. He delivered great work, his communication was top-notch, and his skills were reasonably strong. I enjoyed working with him, and I recommend him" ⭐⭐⭐⭐⭐ "Did really amazing work, will rehire him for next job." ⭐⭐⭐⭐⭐ "I highly recommend working with Muhammad. He is fast and professional to get the job done in a quick time. please consider him with your work." ⭐⭐⭐⭐⭐ "Great quality of work really enjoyed working with him, he is also very knowledgeable." ⭐⭐⭐⭐⭐ "Great freelancer, really knows his stuff. It’s been a pleasure to work with him" Further Skills: ----------------------- -Machine Learning/ Deep Learning -Data Science -Python Programming -Predictive Modeling -Supervised/Semi-Supervised Learning -Unsupervised Learning -Reinforcement Learning -Embedded System Development -Data Analysis and Feature Engineering -Feature Selection -Hyperparameter Tuning of any ML/DL models -Computer Vision, Image Segmentation, Image Classification, Object Detection -Generative AI and Stable Diffusion

Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

🚀 Computer Vision | NLP | AI Engineer | Machine Learning & Deep Learning | AI SaaS & Automation Bringing AI-Powered Innovation to Enterprises I am an AI engineer with over 11 years of experience in developing deep learning solutions, natural language processing, and computer vision. My journey in AI started more than a decade ago, working on advanced projects that helped businesses automate processes, analyze data, and make smarter decisions. Four years ago, I joined Upwork to offer my expertise globally, successfully delivering impactful projects in areas such as: ✅ Text classification and sentiment analysis using advanced NLP models ✅ AI-driven cybersecurity solutions for IoT network traffic analysis ✅ Medical image analysis using CNN-based models for enhanced diagnostics I took the challenge. I optimized the dataset, fine-tuned an Arabic NLP model, and streamlined the preprocessing pipeline. Within days, the classification accuracy improved significantly, and the client was thrilled. Soon, larger companies started noticing my work. Then came a cybersecurity firm struggling with IoT traffic vulnerabilities. Their system was unable to detect threats effectively. I built a CNN-based model that analyzed real-time network traffic, improving threat detection accuracy by 40% while reducing false positives. Another client, a healthcare startup, faced challenges in medical image analysis. I developed a deep learning model using CNNs for ultrasound image quality assessment, ensuring reliable diagnostics. This solution reduced errors and improved medical imaging workflows. One of my most demanding projects involved incremental learning for AI models. The challenge was to update a deep learning model with new data without forgetting previous knowledge. By implementing advanced transfer learning techniques, I ensured the model retained past insights while adapting to new patterns. That $50 project was more than just a small job—it set me on a path to solving complex AI problems and driving impactful innovation. And this? It’s just the beginning. Now, We Build AI Solutions for Enterprises Worldwide Today, I lead a team of AI specialists, delivering state-of-the-art solutions in machine learning, deep learning, NLP, and computer vision. We help businesses leverage AI to optimize operations, automate workflows, and gain actionable insights from data. What We Build 💻 AI-Powered SaaS Platforms – Scalable solutions for high-performance applications 🤖 AI Automation & AI Agents – Smart AI-driven automation to reduce costs & enhance efficiency 📊 Predictive Analytics & Data Science – Transforming raw data into business intelligence 🔍 Computer Vision & Image Analysis – AI models for real-time image recognition & processing 📝 Natural Language Processing (NLP) – Sentiment analysis, text classification, and chatbots 🔐 Enterprise Security & AI Compliance – Ensuring robust cybersecurity with AI-driven solutions AI Automation Services 🚀 AI-Driven Workflows Powered by Python, TensorFlow, and PyTorch 🔹 Automated Text Analysis – AI-driven document classification & sentiment analysis 🔹 Cybersecurity Automation – AI models for anomaly detection in IoT network traffic 🔹 Medical AI – Deep learning for medical image quality enhancement & analysis 🔹 AI-Based Chatbots – Intelligent virtual assistants for seamless customer interaction 🔹 Computer Vision for Industrial Automation – AI models for defect detection & quality control Real-World Impact 🚀 3X Efficiency – AI models optimizing processes & reducing manual workload 📊 40% Cost Reduction – AI automation improving business scalability 📈 30% Higher Accuracy – Advanced ML models for data-driven decision-making 🔐 100% Compliance – AI-powered security ensuring regulatory standards Tech Stack 🔹 Machine Learning & AI: TensorFlow, PyTorch, Scikit-learn, Keras 🔹 NLP: Transformers, BERT, AraBERT, GPT, spaCy 🔹 Computer Vision: OpenCV, YOLO, Detectron2 🔹 Big Data & Cloud: AWS, Google Cloud, Kubernetes 🔹 Development: Python, Flask, FastAPI, Django 🔹 AI Automation: Zapier, n8n, custom AI workflows We collaborate with enterprises, startups, and research teams to build AI-powered solutions that drive innovation and efficiency. 📩 Let’s Build Something Great! If your business needs AI-powered automation, deep learning models, or cutting-edge data solutions, let’s connect. Send me a message today! Keywords AI Engineer | Machine Learning | Deep Learning | NLP | Computer Vision | AI SaaS | AI Automation | AI Chatbots | Data Science | Predictive Analytics | TensorFlow | PyTorch | Transformers | AraBERT | OpenAI API | Cybersecurity AI | Medical AI | Image Processing | AI Workflow Automation

AI / ML / Agentic AI LLM / Langchain / RAG ChatBots AI / Machine Learning & Computer Vision specialist with hands-on experience building, training, and deploying deep learning models for real-world applications. I specialize in YOLO-based object detection/segmentation and image processing, with a strong background in PyTorch, TensorFlow, and OpenCV, Plus modern RAG and agentic AI LLM systems using LangChain and LangGraph. Key Expertise YOLO Object Detection & Segmentation: Custom training/tuning (YOLO v8–v12), dataset prep, evaluation, and edge AI deployment on Jetson Nano. RAG & Agentic AI: Retrieval-augmented generation with LangChain/LangGraph, vector stores (Pinecone, ChromaDB), tool use, memory, and guardrails. Recommendation AI Engine Systems. Model Deployment & Optimization: Packaging for production (REST), quantization/acceleration where applicable; VM-based deployments. Full Pipeline Development: Data collection → labeling → training → testing → Flask/FastAPI REST APIs → monitoring. MLOps & CI/CD: Experiment tracking, versioning, reproducible workflows, and automated delivery with GitHub/GitLab. API Integration & Apps: Secure API integration with third-party services; Flutter front-ends that consume ML APIs. Cloud & Storage: AWS S3 for datasets/artifacts; deployable on cloud VMs or on-prem. Frameworks & Tools PyTorch, TensorFlow/TFLite, OpenCV, scikit-learn, Pandas, NumPy LangChain, LangGraph, RAG, LLM, Pinecone, ChromaDB Flask, FastAPI (REST API deployment) Databases SQL, MySQL, PostgreSQL, Supabase GitHub, GitLab (MLOps/CI-CD) Google Colab / Jupyter Notebook AWS S3, VM-based deployments React & Flutter (client apps & dashboards)

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.

Stop Wasting Millions on AI Models Crippled by Bad Data. Your AI model is only as powerful as its training data. Inconsistent data annotations sabotage performance, costing you weeks and millions in lost ROI. If your team is cleaning Machine Learning datasets instead of building, you need a better solution. As a Top Rated Plus expert, I deliver Training Ready Intelligence. My mission: transform your raw training data into high fidelity, structured assets for peak AI model performance in Computer Vision, NLP, and Machine Learning. I specialize in clean, reliable data annotation for images, video, and text. I ensure data quality directly impacts your model accuracy and bottom line. I've managed massive data labeling projects, consistently exceeding expectations. Why elite AI teams choose me: Guaranteed Accuracy: 100% pipeline ready data annotation, every time. No re work, no debugging. Zero Management Overhead: You define; I execute with precision and autonomy. Focus on AI development, not data prep. Accelerated ROI: Cut training cycles, deploy faster. Transform raw data into a competitive advantage. My Core Expertise: Image Annotation: Bounding Box, Polygon, Semantic Segmentation, Keypoint (Computer Vision) Video Annotation: Object Tracking, Event Detection (Computer Vision) Text Annotation: NER, Sentiment Analysis, Classification (NLP) Data Labeling & Dataset Preparation Ready to elevate your AI project? Click Message. Let's build the robust training data foundation your AI models deserve. Stop settling for "good enough" data annotation; get it right the first time. Best Regards, Parwiz