- 50 USD / hourAs a Machine Learning and AI developer, I have a strong passion for technology and 5+ years of experience in delivering cutting-edge solutions to clients. My areas of expertise include neural networks, biomedical imaging, and other advanced machine learning techniques. In addition to my technical skills, I am also well-versed in web technologies and have a proven track record of problem-solving using various programming languages. My goal is always to exceed client expectations and ensure that their satisfaction is my top priority. If you are looking for a dedicated and skilled developer who can deliver desired outcomes, please do not hesitate to hire me.Hire uzairrzahid
hassydesigner hassydesigner
10 USD / hourData Scientist | AI Research Executive | ML Expert10 USD / hourI am a highly skilled AI Developer and AI Research Executive in Computer Vision Machine Learning engineering, NLP and LLMs Expert, and MS in Data Science from FAST (National University of Computer and Emerging Sciences). I have 3+ years of Experience as a Data Scientist, AI Engineer, and ML Engineer. Certifications: ✔ Certified Machine Learning Engineer (Coursera Andrew Ng). ✔ Certified Deep Learning Engineer. ✔ Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (DeepLearning.ai). ✔ Sequecnes, Time Series, and Prediction (DeepLearning.ai) ✔ Build Basic Generative Adversarial Networks (GANs) (DeepLearning.ai). ✔ Certified Data Scientist (IBM Coursera). ✔ Certified AI TensorFlow Developer (DeepLearning.ai). ✔ Certified Python (MTA). Detailed Experience: Here is my Expertise as a Data Scientist ✔ Exploratory Data Analysis (EDA) exploring and summarizing data to understand its structure, identify outliers, and visualize patterns histograms, scatter plots, and summary statistics. ✔ Statistical Analysis statistical tests and methods to test hypotheses, make inferences, and quantify relationships between variables. ✔ Feature Engineering creating new features or transforming existing ones to improve the performance of the model. ✔ Data Preprocessing Cleaning, transforming, and scaling data to ensure it's suitable for analysis and modeling. ✔ Time Series Forecasting Predicting future values of a time-dependent variable using methods like ARIMA or Prophet Here is my Expertise in Deep Learning: ✔ CNN Family: AlexNet, GoogleNet, ResNet, EfficientNet, and, DenseNet for image classification. ✔ F-RCNN and, YOLO for Object Detection. ✔ Mask RCNN, For Instance Segmentation. ✔ GANs for dataset data generation. ✔ Stereo Vision Cam 3D Object detection and distance measuring. ✔ Image preprocessing, Image Enhancement, point detection, canny edge, LoG edge, Filters. Here is my Expertise in Machine Learning: ✔ Algorithms such as KNN, K-MEAN, DBSCAN, Hierarchical Clustering and, PCA. ✔ Data cleaning, handling missing values, and selecting the best features. ✔ Prediction models employing Linear Regression, Logistic Regression, Decision Trees, Random Forests, Naive Bayes, and SVM. ✔ Graphical Analysis on Matplotlib and Seaborn. Here is my Expertise as an NLP: ✔ Sentiment Analysis. ✔ RNN, GRUs and LSTMs. ✔ Similar Content Findings from PDFs, Bert pre-trained model and, transformers. ✔ LangChain and OpenAI Libraries and Frameworks for Data Scientist | Machine Learning Engineer | AI Engineer: numpy, pandas, scikit-learn, matplotlib, seaborn, TensorFlow, Keras, pytorch, statsmodels, nltk Opencv, Detectron2, and, Dlib. Tools for Data Scientist | Machine Learning Engineer | AI Engineer: Jupyter Notebooks, Google Colab, Docker, Amazon SageMaker, AWS, Git, and, Github. Programing Language: Python and, JavaScript.Hire hassydesigner20 USD / hourHi, I’m Ahmed! I’m a Machine Learning Engineer & Microsoft Certified Azure AI. Areas of Expertise: Programming Languages: Python, Java Frameworks & Libraries: TensorFlow, Keras, PyTorch, Pandas, Scikit-learn, NumPy Machine Learning Algorithms: Proficient in Logistic Regression, Decision Trees, SVM, KNN, Ensemble Methods, PCA, and Naive Bayes Advanced ML Models: Experience with Gradient Boosted Machines using XGBoost for complex data challenges Deep Learning: Skilled in building Feedforward Neural Networks (FNN) and Convolutional Neural Networks (CNN) Computer Vision: Expertise in using advanced CNN architectures such as AlexNet, ResNet, and EfficientNet Natural Language Processing (NLP): Hands-on experience with RNN, LSTM, and Transformer models for text analysis and language tasks Data Analysis & Visualization: Proficient with Matplotlib, Seaborn, Plotly, Power BI, and Tableau for turning data insights into compelling visual stories Tools and Databases: Experienced with Streamlit, Docker, PostgreSQL, and MySQL to streamline development and deployment processesHire ahmedokka312 INR / hourI'm Mitesh Wandhare, a 3rd-year engineering student passionate about leveraging technology to solve complex problems. My expertise spans data analysis, machine learning, and simulation software. Key Skills: Software & Programming: Proficient in Python, C++, and simulation tools like LAMMPS. Machine Learning: Experienced with various models, including Logistic Regression, Support Vector Machines (SVM), Decision Trees, and deep neural networks (CNN architectures like LeNet, AlexNet, VGGNet, ResNet). Data Analysis: Specialized in feature extraction, preprocessing, and validation for complex datasets. Image Processing: Strong understanding of foreground-background techniques and pattern recognition.Hire Miteshwandhare10 INR / hourI am an aspiring AI engineer with a strong foundation in machine learning, deep learning, and data-driven problem solving. My technical skills include Python, Java, C/C++, SQL, and hands-on experience with ML frameworks such as Scikit-learn, TensorFlow, Keras, and PyTorch. I have developed and deployed AI models in real-world and academic settings, including: A liver cancer tumor detection system using CNN, AlexNet, VGG16, and Faster R-CNN for classification and localization of tumors in CT scans. A herbal plant classification model using InceptionNet and transfer learning to optimize accuracy and training efficiency. In a recent project at EasyToWork, I integrated machine learning with rule-based logic to enhance a manual queue management system for a medical scan center. This involved analyzing historical patient data to suggest optimal calling orders while incorporating computer vision to read doctor recommendations from scanned prescriptions. Certified in Machine Learning with Python by IBM, I have a solid grasp of supervised and unsupervised learning, regression, clustering, and model evaluation techniques. I’m skilled in data preprocessing, feature engineering, model training, and performance tuning, and I bring a problem-solving mindset, attention to detail, and a drive to apply AI in impactful, real-world applications.Hire shyamsanthosh215 INR / hourHello! I'm Saksham Garg, a highly skilled and experienced Full Stack Developer with 2 years of industry experience. I specialize in designing and developing robust web applications, leveraging my expertise in both front-end and back-end technologies. As a Full Stack Developer, I have a deep understanding of the entire web development process, from conceptualization to deployment. I'm proficient in a wide range of programming languages and frameworks, including: Front-End: HTML5, CSS3, JavaScript (ES6+), React, Vue.js Back-End: Django, Node.js, Express.js Databases: MySQL, MongoDB, PostgreSQL Version Control: Git Cloud Platforms: AWS, Azure, Google Cloud My strong problem-solving skills and attention to detail allow me to create scalable and efficient solutions tailored to meet the specific needs of each project. I prioritize clean code architecture, modular design, and optimized performance to ensure a seamless user experience. Throughout my career, I've successfully completed numerous projects, ranging from small startups to large enterprise applications. I'm adept at working in cross-functional teams, collaborating with designers, project managers, and stakeholders to deliver high-quality solutions on time and within budget. Also I like to work on different Deep Learning archietectures. Worked on different archietectures of CNN Model like ResNet, VGG16, LeNet etc for Computer Vision problems. Also worked on Image segmentation using AlexNet, U-Net Model, done many ML projects and to deploy using django on AWS. Here's what you can expect when working with me: 0. Clear Communication: I believe in open and transparent communication. I will actively listen to your requirements, provide regular progress updates, and promptly address any concerns or questions you may have. 1. Customized Solutions: I understand that every project is unique. I will analyze your specific needs and tailor my approach to deliver a solution that aligns with your business goals and exceeds your expectations. 2. Reliability: I take pride in delivering high-quality work on time and within budget. You can rely on me to meet deadlines and provide a seamless development experience. Whether you need a full-fledged web application built from scratch, enhancements to an existing system, or API integrations, I'm confident in my ability to deliver exceptional results. Let's discuss your project requirements and turn your ideas into reality! Please take a look at my portfolio to see some of my previous work. Feel free to reach out to me with any questions or project proposals. I'm excited to collaborate with you and contribute to your success.Hire sakshamgarg14220 INR / hourM.Tech in Data Science | Deep Learning Enthusiast | AI & ML Developer I'm Nandeesh H U, an M.Tech Data Science student at IIT Guwahati with a strong foundation in Machine Learning, Deep Learning, and Data Analysis. I have hands-on experience in developing AI-powered solutions for real-world problems, including medical image segmentation, AI-generated content detection, and predictive analytics. Key Skills: Programming: Python, C/C++, R, MATLAB ML/DL Frameworks: PyTorch, TensorFlow, Keras, Scikit-Learn Web Development: Streamlit, SQL, HTML, CSS Data Analysis: NumPy, Pandas, Matplotlib, Seaborn, Plotly Notable Projects: Medical Image Segmentation: Developed a deep learning framework for accurate segmentation of medical images. Bone Fracture Detection: Built an ML-based system for automated X-ray image analysis. AI & Real Image Classifier: Created a Streamlit app using AlexNet to distinguish AI-generated images. AI-generated Text Detection: Implemented an NLP-based classifier using transformer models. Achievements: Secured AIR 905 in GATE CSE (98.80 percentile). Awarded Best Project of the Year by KSCST - IISc Bangalore. Honored as Best Outgoing Student at JNNCE. I thrive on solving challenging problems and am dedicated to delivering high-quality AI and ML solutions. Let's collaborate to turn your ideas into reality! Let's Connect: GitHub: github.com/nandeeshhu LinkedIn: linkedin.com/in/nandeeshhuHire nandeeshhu20 USD / hour? PROFESSIONAL SUMMARY: Dynamic and innovative AI Engineer and Technical Writer with over 6 years of experience spanning AI industry and academia. I specialize in developing intelligent automation systems, AI agents, and implementing cutting-edge technologies that bridge research and practical business applications. ? CORE COMPETENCIES: ? AI Engineering & Development: Agentic RAG systems and AI workflows Computer vision applications and deep learning models Speech processing and signal analysis Multi-agent systems and LLM orchestration ? Technical Writing & Documentation: Educational content on AI/ML technologies Technical documentation and tutorials Research papers and white papers ? PROFESSIONAL EXPERIENCE HIGHLIGHTS: ? Senior AI Engineer | Monitor Health Developed state-of-the-art signal processing for ECG analysis Implemented agentic RAG systems for medical knowledge retrieval Created automated AI workflows for health monitoring ⚙️ AI Automation Engineer Built intelligent automation systems and agentic RAG solutions Developed computer vision systems for security, OCR, and facial analysis Created IVR detection system using Wave2Vec2 ✍️ Senior Technical Writer | Machine Learning Mastery Authored comprehensive tutorials on PyTorch and Computer Vision Created educational content on transformers and LLM technologies Contributed to platform with millions of readers ? TECHNICAL SKILLS: AI Tools: LangChain, LlamaIndex, LangGraph, Autonomous Agents, Multi-Agent Systems, Agentic RAG, Vector Databases (Pinecone, Qdrant, Chroma DB) Computer Vision: OpenCV, Object Classification (CNNs, Alexnet, Resnet, VGG, Inception, Xception, ResNeXt, ConvNeXt), Object Detection (YOLO family, RCNN variants, MobileNet, RetinaNet, FCOS, DETR), Segmentation (U-Net variants, Mask-RCNN, Deeplab V3+), Object Tracking (DeepSort, StrongSort, ByteTrack) Frameworks: TensorFlow, PyTorch, Keras Development: Django, Flask, API Development, Supabase, Python, C/C++, Ruby on Rails, Matlab, JavaScript (React), Git, GitHub, Postman API, OpenCV, NumPy, Matplotlib, OpenPose, MediaPipe, SQL, PostgreSQL, Docker, AWS, Heroku, Azure Speech Processing: Speech Classification, Audio Signal Processing, IVR Detection Natural Language Processing: RNNs, LSTMs, GRUs, Wave2Vec2, Transformers, LLM Fine-tuningHire mohasadiqbal35 INR / hourTOP RATED Freelancer with demonstrated skills and experience in the field of data science. I will be glad to contribute to your projects in a mutually beneficial way. My skills include machine learning, deep learning, web scraping, data engineering, web development and data visualizations. My main programming languages are Python, Deep Learning, and NLP. In Computer Vision, my skills include image classification, object detection and image segmentation with Python tools such as Tensorflow, Keras, CNNs (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50), SSD, YOLO, TFOD and Mask R-CNN. Importantly, I have skills in Math and statistics essential to understand processes behind code and interpret outcomes from it. I have done my Bachelors in Computer Engineering and also pursuing Masters in AI. I will focus on understanding your business goals and, more importantly, the pain points and implementing solutions to achieve your goals. My skills include: ✔️ Data Science ✔️ Machine Learning ✔️ Deep Learning ✔️ Computer Vision ✔️ Natural Language Processing NLP (Bert, fastText) ✔️ CNN (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50) ✔️ Object Detection (R-CNN, SSD, YOLO, TFOD API) ✔️ Image Segmentation (Mask R-CNN) ✔️ Interactive Visualizations/Dashboards ✔️ Data Engineering (MySQL, MongoDB) ✔️ Python ✔️ Recommender Systems ✔️ Audio Processing ✔️ DevOps (ML Deep Learning model deployment on cloud, TDD, AWS, GCP, Docker) ✔️ OCR ✔️ Transfer Learning ✔️ Time Series Analysis (ARIMA, SARIMA, LSTM, PROPHET) ✔️ OpenCV ✔️ Educational Tutorials ✔️ Web Scraping ✔️ Web Crawling ✔️ API Clients ✔️ Keras, Tensorflow ✔️ PyTorch ✔️ Dash, Shiny, Plotly, Streamlit ✔️ Pandas, Numpy, Scipy, Scrapy, Selenium, requests, ggplot2 I care deeply about finding solutions that work for my clients. Thanks & Regards, RuchirHire aashia16syedawardanaqvi syedawardanaqvi
25 USD / hourFull-Stack Developer | Golang | PHP | React.js25 USD / hourExperienced Backend Developer with expertise in Golang, PHP (Laravel, Yii), and React.js. Specializing in microservices architecture, API development, and backend optimization, I help businesses build scalable and efficient systems. With a strong foundation in software development, I have transitioned from MATLAB-based projects to full-stack and backend development, delivering high-performance applications. Let’s connect and bring your ideas to life!Hire syedawardanaqvi