✔️ TOP RATED Freelancer specializing in Computer Vision and AI-based image processing systems. I enjoy building practical, production-ready solutions for real-world visual problems and would be glad to contribute to your project in a meaningful way. My core focus is on computer vision, especially tasks involving image understanding, detection, and extraction from complex or noisy inputs. I have strong experience working with: ✔️Image Classification & Fine-Grained Recognition (handling subtle visual differences) ✔️Object Detection (YOLO, SSD, Faster R-CNN, TFOD API) ✔️Image Segmentation (Mask R-CNN, semantic & instance segmentation) ✔️OCR & Text Extraction (structured documents, multi-format, noisy images) ✔️Image Preprocessing (denoising, deskewing, perspective correction, enhancement) ✔️OpenCV-based pipelines for real-time and production use ✔️Deep Learning frameworks: TensorFlow, Keras, PyTorch ✔️CNN Architectures: ResNet, VGG, Inception, EfficientNet ✔️Transfer Learning & Custom Model Training ✔️Synthetic Data Generation & Augmentation ✔️Vector Embeddings & Image Similarity Systems ✔️End-to-End CV Pipelines (data collection → training → deployment) Alongside this, I also have a solid foundation in: ✔️Machine Learning & Deep Learning ✔️Mathematics & Statistics (for model understanding and optimization) ✔️Python ecosystem (NumPy, Pandas, SciPy, etc.) ✔️API Development & Deployment(Docker, AWS, GCP) I hold a Bachelor’s degree in Computer Engineering and am currently pursuing a Master’s in AI, which helps me stay aligned with the latest advancements in the field. My approach is always to first understand the business problem and real-world constraints, and then design a solution that is accurate, scalable, and practical to use. I care deeply about delivering solutions that actually work for clients not just in theory, but in real-world conditions. Thanks & Regards, Ruchir

I am Chang Liu, a PhD researcher and ML engineer from the University of Science and Technology of China (USTC), specializing in computer vision, diffusion models, and large language models. I help students, researchers, labs, and startups build deep learning projects that require both strong research judgment and solid implementation. My work covers literature review, problem formulation, experiment design, training and debugging, performance optimization, paper polishing, and rebuttal support. I am particularly comfortable with diffusion models, controllable generation, image/video editing, radiology report generation, and LLM-based workflows. My publications include work in AAAI, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, and IEEE Transactions on Circuits and Systems for Video Technology. I have also privately mentored more than 10 clients on research projects targeting venues such as CVPR, ICML, AAAI, NeurIPS, TIP, and TMM. This background helps me judge what is technically sound, what is novel enough, and what is worth investing time in. I also maintain public open-source resources in generative AI and computer vision, with 2.1k+ total GitHub stars across my repositories. My GitHub profile is under the name AlonzoLeeeooo, where you can find curated resources and project code related to text-to-image generation, video generation, image inpainting, and diffusion-based editing. Representative work you can search by title includes: - Bootstrapping Large Language Models for Radiology Report Generation - Toward Interactive Image Inpainting via Robust Sketch Refinement - LaCon: Late-Constraint Controllable Visual Generation - StableV2V: Stabilizing Shape Consistency in Video-to-Video Editing - A Systematic Review of Deep Learning-based Research on Radiology Report Generation You can also find my full publication list by searching my Google Scholar profile under Chang Liu (USTC). If you have a project in mind, send me your topic, current stage, and target outcome, and I can help define the most practical next step.

Greetings, I'm passionate and experienced Machine Learning Engineer with a strong background in developing intelligent systems that drive data-driven decision-making. With a Master's degree in Data Science & AI, and also have extensive hands-on experience, I specialize in transforming complex data into actionable insights through cutting-edge machine learning & deep learning techniques. + I can design, develop, and implement ML algorithms tailored to your specific needs. From classification and regression to clustering and deep learning, I can create models that extract meaningful patterns from your data. + High-quality data is paramount for accurate models. I excel in data preprocessing tasks such as cleaning, transformation, and feature engineering to ensure the best possible input for ML algorithms. + I can evaluate model performance using appropriate metrics, ensuring that the final model is both accurate and robust. Hyperparameter tuning is a forte, enabling me to optimize models for peak performance. + I specialize in creating deep neural architectures for tasks such as Image recognition (computer vision), Generative adversial network (GAN) and in NLP. + I'm skilled in deploying ML models to production environments, making your AI-driven solutions a reality for end-users. Whether it's on the cloud or on-premises, I ensure seamless integration. Fields that I was done: E-commerce -- Customer segmentation, Recommendation systems, Demand forecasting. Marketing -- User behavior prediction, Campaign optimization, Personalized marketing. Healthcare -- Disease diagnosis, Medical image analysis. My focus is on delivering tangible results that align with my clients requirements. And I believe in transparent communication, keeping you updated at every step. Thank you for considering my profile.

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.

Senior AI Researcher with 6+ years building production-grade computer vision and deep learning systems that work in the real world not just in notebooks. Currently at PIAspace (Seoul), I develop AI-powered products deployed at 30+ organizations globally: - MACS: Multi-modal AI CCTV anomaly detection system - SSAVE: AI-powered video search model Previously a Visiting Researcher at Mila – Quebec AI Institute (one of the world's top AI research centers), and a Graduate Research Assistant at Sejong University where I built object detection, anomaly detection, and video-to-video translation systems using GANs. With a unique combination of research depth and production engineering experience, I deliver AI solutions that are reliable, scalable, and genuinely deployable.

Hello! I’m a PhD-level Data Analyst with a strong academic background in Statistics and Mathematics, and a broad skill set that spans Statistical Analysis, Machine Learning, Natural Language Processing (NLP), Time Series Modeling, and Mathematical Modelling. My passion lies in solving complex problems by leveraging data to uncover insights that drive business success. With deep expertise in mathematical modeling, machine learning, and deep learning, I can deliver high-impact solutions tailored to your needs. What I Offer: • Advanced Statistical & Mathematical Modeling: I combine statistical theory with practical experience to build and implement models that predict, optimize, and solve real-world challenges. My PhD in Statistics and double major in Mathematics enables me to apply the most sophisticated methods to your data, ensuring highly accurate and reliable results. • Machine Learning & Deep Learning: I’m proficient in building advanced machine learning models using Scikit-learn, TensorFlow, and PyTorch for classification, regression, clustering, and other predictive tasks. My deep learning expertise allows me to create state-of-the-art algorithms for tasks like image classification, object detection, and NLP. • Time Series Forecasting: Whether you need to predict sales, stock prices, or any time-dependent data, I use the latest statistical techniques to forecast with precision and provide actionable insights. • Natural Language Processing (NLP): I apply cutting-edge NLP techniques to process and analyze unstructured text data, enabling tasks like sentiment analysis, text classification, and language modeling. • Image Classification & Computer Vision: Leveraging deep learning algorithms, I help businesses extract valuable insights from visual data, perfect for applications in medical imaging, security, or content categorization. Programming & Technical Skills: • Python – My primary tool for data analysis, machine learning, and deep learning. • Java – For building scalable, high-performance applications. • SQL – Expertise in querying and managing large databases. • R – Used for advanced statistical modeling and data analysis. • Matlab – For numerical computation and algorithm development. • GAMS, Cplex, Guropy, Pyomo – Proficient in optimization and mathematical programming tools to solve complex decision-making problems. Why Work With Me: • PhD Expertise: My deep academic foundation ensures I use the latest, most effective statistical methods to solve complex problems. • End-to-End Solutions: From data wrangling and preprocessing to model deployment and cloud integration, I offer a comprehensive, end-to-end approach. • Customized Approach: I understand that every business has unique needs. I tailor my solutions to fit your specific requirements and challenges. • Clear Communication & Collaboration: I ensure that my results are understandable and actionable, providing you with insights in a clear, concise manner, and I’m committed to collaborating closely with you throughout the project. If you’re looking for a highly skilled and results-driven Data Analyst with the technical expertise and academic background to solve your data challenges, let's connect! I’m ready to help you turn your data into a strategic advantage. Feel free to reach out for a consultation, and let's get started!

Expert in ✅ Telecommunication ✅Data Science ✅ Machine Learning ✅ Deep Learning ✅ Strong Mathematical and Statistical understanding and experience in developing and designing Quality Products. Detailed expertise includes: ✅ Product Design ✅ Machine Learning mathematical concepts and algorithms ✅ Python (NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Fast.ai, PyTorch, Flask, Matplotlib, Seaborn) ✅ Signal Processing ✅ Vehicle to Infrastructure Communication Models ✅ Vehicle to Vehicle Communication Models ✅ Orthogonal Frequency Division Multiplexing (OFDM) ✅ Non-Orthogonal Multiplex access (NOMA) ✅ Reconfigurable intelligent surfaces (RIS) ✅ Working with Big Datasets ✅ MATLAB ✅PCBWeb Designer ✅ Proteus ✅ Technical Writing If you are looking for an expert telecommunication Engineer with machine learning and data science expertise you are at the right place. I would be thrilled to work with you. Let's connect and explore how we can create an impactful solutions together! Regards,

I'm a Deep Learning Engineer specializing in Machine Learning, Deep Learning, NLP, and Computer Vision, dedicated to building scalable, data-driven solutions that drive real innovation. Whether it’s intelligent chatbots, automation, or advanced AI models, I craft solutions tailored to business needs—optimizing workflows, extracting deep insights, and enhancing efficiency with cutting-edge AI. I've worked on various AI domains such as Computer Vision, Deep Learning, Natural Language Processing and Reinforcement Learning. I've applied AI in medicine, academics, and industry to automate data annotation and model deployment processes. ✅ What I Offer: 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Leverage advanced neural networks to model complex patterns in data, enhancing the performance of applications across generative AI, computer vision, and NLP. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Delve into the realm of creative AI, where machines produce realistic and novel content across various mediums. 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Equip your systems with the ability to understand and interpret visual data, enabling applications like image recognition and object detection. 𝐍𝐋𝐏: Empower your projects with language understanding capabilities, facilitating tasks such as sentiment analysis and text generation. 💡 Why Collaborate with Me? 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 🔹 My Expertise Includes: Deep Learning (CNN, Neural Networks, Transfer Learning) Computer Vision (Image Classification, Object Detection, Segmentation) Frameworks: PyTorch, TensorFlow, Keras Medical Imaging AI (MRI, Tumor Detection) Model Optimization & Deployment 🔹 What I Deliver: Accurate and production-ready AI models Scalable deep learning pipelines Clean, maintainable, and efficient code I have built systems like brain tumor detection, AI-based classification models, and intelligent automation pipelines. My focus is on solving real-world problems using deep learning with high accuracy and efficiency. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: I am adept at utilizing a wide array of tools and frameworks, ensuring optimal implementation and performance. 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐅𝐨𝐜𝐮𝐬: Stay ahead of the curve with cutting-edge solutions tailored to your specific requirements. 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐬𝐭𝐚𝐜𝐤: Python (Numpy, pandas, OpenCV, Keras, PyTorch), AWS, Google Cloud, GPU, machine learning APIs, Docker. Let's connect and discuss how we can leverage these technologies to achieve your goals.

A skilled Machine Learning expert specializing in NLP and computer vision with extensive experience in end-to-end workflows comprising model training, fine-tuning, and deployment. Completed over 100 projects, including real-time person detection using YOLOv8 [1], OCR solutions with Tesseract [2], and AI chat engines leveraging OpenAI technologies [3]. Proficient in Python, TensorFlow, Keras, and FastAPI, applying these technologies to build robust ML solutions for diverse applications. Machine learning and other expertise - - Python - HuggingFace/transformers, YOLOv8 - Keras, PyTorch, TensorFlow - OpenCV - SciKit Learn - FastAPI, Docker, ReactJS Types of projects I have completed in recent years - #1. Computer Vision - - OCR with Textract, Tesseract, DocTR - Real-time person detection and recognition - Image segmentation - Image depth measurements #2. Natural Language Processing/Understanding/Generation - Chat engine with HuggingFace, GPT, LangChain, OpenAI, ChromaDB - Virtual Personal Assistant Whisper, LLaMA, Tacotron - Customer Support with Whisper, GPT4, GoogleTTS, Twilio - Tweet Generator - Recommendation Systems

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning