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Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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thaslimShaikh/README.md

💫 About Me:

🔭 Currently working on - DSA, React.js, and core AI skills
👯 Looking to collaborate on - AI/ML projects and real-world software systems
🤝 Looking for help with - Latest AI trends and production use
🌱 Currently learning - DSA, React.js, LLMs, RAG, Agentic AI
💬 Ask me about - Python, Machine Learning, Computer Vision, DSA
⚡ Fun fact - I choose growth over comfort and consistency over excuses

🌐 Socials:

Instagram LinkedIn Pinterest email

💻 Tech Stack:

C CSS3 HTML5 Java JavaScript Kotlin LaTeX Python PowerShell Scala Windows Terminal AWS Oracle Apache Spark Apache Hadoop Bootstrap Django Flask FastAPI jQuery Jinja NodeJS Next JS OpenCV ROS Streamlit Spring Socket.io Yarn Apache AmazonDynamoDB ApacheCassandra MySQL MongoDB SQLite Adobe Adobe Acrobat Reader Figma Canva Blender Keras Matplotlib scikit-learn NumPy mlflow Pandas Plotly PyTorch TensorFlow Scipy GitHub Actions Git GitHub Testing-Library Arduino Cisco Docker Meta Portfolio Raspberry Pi Power Bi nVIDIA

📊 GitHub Stats:



✍️ Random Dev Quote

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  1. Autonomous-Underwater-Robot-for-Medicinal-Coral-Reefs-Classification Autonomous-Underwater-Robot-for-Medicinal-Coral-Reefs-Classification Public

    Simulated an autonomous underwater robot using ROS 2 and Gazebo for navigation and real-time operation, integrating an OpenCV-based vision pipeline for image capture and ML-based classification of …

    Python

  2. Hinglish-Toxic-Comment-Detection-and-Rewriter- Hinglish-Toxic-Comment-Detection-and-Rewriter- Public

    Developed a scalable NLP pipeline using transformer models to detect and rewrite toxic Hinglish comments, achieving over 80% toxicity reduction on 29K+ samples.

    Python

  3. Resume-Screening-Using-Ensemble-Models Resume-Screening-Using-Ensemble-Models Public

    Designed an ensemble learning-based resume screening system using models like XGBoost and Random Forest, applying SMOTE and PCA for improved classification performance and handling imbalanced data.

    Jupyter Notebook

  4. my-portfolio my-portfolio Public

    Personal portfolio website showcasing projects, technical skills, and achievements, built with a responsive UI and smooth navigation for an optimized user experience.

    CSS

  5. plan2achieve plan2achieve Public

    Plan2Achieve is a lightweight Flask-based web application that helps users convert goals into structured action plans, track daily progress, and stay motivated through personalized messages.

    HTML

  6. Post-Covid-Lung-Fibrosis-Detection-Using-CXR Post-Covid-Lung-Fibrosis-Detection-Using-CXR Public

    Designed and implemented a deep learning pipeline using ResNet50 and DenseNet121 for post-COVID lung fibrosis detection from chest X-rays, achieving 74% accuracy with optimized data processing.

    Python