10/06/2026 updated
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AI & Machine Learning Engineer | Python Developer | Data Science Enthusiast
Udaipur, India
Worldwide
B.Tech in Computer Science, in AI & ML (expected Aug 2026) - Sir Padampat Singhania UniversityArtificial IntelligenceComputer VisionData IntelligencePython (Programming Language)Machine LearningNatural Language ProcessingNumPyBlockchainAzure Machine LearningMachine Learning Operations
Machine Learning & Deep Learning
Expertise in Machine Learning and Deep Learning techniques including model training, evaluation, and deployment. Application of algorithms such as Random Forest Classifier, CNN, and LSTM for real-world use cases like mental health risk assessment and fake news detection.
Python Programming & AI Frameworks
Strong proficiency in Python programming with hands-on experience using TensorFlow, Keras, NumPy, Pandas, Scikit-learn, and OpenCV for building AI-driven applications and data pipelines.
Computer Vision
Practical experience in computer vision using Python and OpenCV, including real-time video frame processing, color channel extraction, and webcam integration for interactive applications.
Natural Language Processing (NLP)
Knowledge of NLP techniques including text preprocessing, tokenization, padding, and GloVe word embeddings for improving text representation and model accuracy in classification tasks.
Web Development
Familiarity with web development technologies including React.js, Node.js, Bootstrap, HTML5, CSS3, PHP, and JavaScript for building interactive frontend and backend applications.
Data Analytics & Preprocessing
Experience in data analytics and preprocessing techniques such as feature scaling, one-hot encoding, label encoding, and data handling using Pandas and NumPy.
Developer Tools & Platforms
Proficiency with developer tools and platforms including Git, GitHub, Visual Studio Code, Google Colab, Jupyter Notebook, Streamlit, Figma, Canva, and WordPress.
Databases
Working knowledge of relational databases including MySQL, as well as database management concepts covered through academic coursework in DBMS.
Blockchain Technology
Academic exposure to Blockchain Technology as part of the B.Tech curriculum, covering foundational concepts and applications.
Expertise in Machine Learning and Deep Learning techniques including model training, evaluation, and deployment. Application of algorithms such as Random Forest Classifier, CNN, and LSTM for real-world use cases like mental health risk assessment and fake news detection.
Python Programming & AI Frameworks
Strong proficiency in Python programming with hands-on experience using TensorFlow, Keras, NumPy, Pandas, Scikit-learn, and OpenCV for building AI-driven applications and data pipelines.
Computer Vision
Practical experience in computer vision using Python and OpenCV, including real-time video frame processing, color channel extraction, and webcam integration for interactive applications.
Natural Language Processing (NLP)
Knowledge of NLP techniques including text preprocessing, tokenization, padding, and GloVe word embeddings for improving text representation and model accuracy in classification tasks.
Web Development
Familiarity with web development technologies including React.js, Node.js, Bootstrap, HTML5, CSS3, PHP, and JavaScript for building interactive frontend and backend applications.
Data Analytics & Preprocessing
Experience in data analytics and preprocessing techniques such as feature scaling, one-hot encoding, label encoding, and data handling using Pandas and NumPy.
Developer Tools & Platforms
Proficiency with developer tools and platforms including Git, GitHub, Visual Studio Code, Google Colab, Jupyter Notebook, Streamlit, Figma, Canva, and WordPress.
Databases
Working knowledge of relational databases including MySQL, as well as database management concepts covered through academic coursework in DBMS.
Blockchain Technology
Academic exposure to Blockchain Technology as part of the B.Tech curriculum, covering foundational concepts and applications.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluent
Project history
Implemented text preprocessing, tokenization, padding, and GloVe word embeddings to improve text representation and model accuracy. Designed and trained a hybrid CNN-LSTM model for news classification, achieving high prediction accuracy on real-world news datasets. Integrated a real-time prediction module that analyzes custom news headlines/articles and instantly detects fake or authentic news content.
Developed a real-time RGB color detection system using Python and OpenCV to identify dominant colors through webcam input. Implemented computer vision techniques for live video frame processing and color channel extraction using NumPy arrays. Designed an interactive application capable of detecting and displaying RGB color values with efficient frame-by-frame analysis.
Internship/Training in Machine Learning and Data Science at MaxGen Technologies Pvt. Ltd., Ahmedabad, Gujarat.