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Ananddd06/README.md

Programming Aesthetic Wallpaper

๐Ÿš€ ESTABLISHING SECURE CONNECTION... WELCOME.

$ echo "Hello, I 'am Anand ๐Ÿ‘‹"
>_ AI/ML Engineer | Researcher | Tech Explorer
>_ Specializing in Deep Learning, Transformers & MLOps
>_ Always curious, always experimenting...

๐Ÿ–ฅ๏ธ > PROFILE_BOOT: ENGINEER_STATUS.exe

A dedicated AI/ML Engineer crafting intelligent systems ๐Ÿง  and scalable applications ๐ŸŒ at the forefront of technology. Merging innovation, logic, and creativity to deliver real-world impact.

โœจ TECH STACK & CORE COMPETENCIES

  • ๐Ÿง  Neural Network Mastery: AI/ML models, MLOps, and production-ready pipelines.
  • ๐ŸŽฏ Problem-Solving Matrix: Expert in DSA, algorithm optimization, and modern tech frameworks.

๐Ÿš€ ACTIVE MISSIONS: CURRENT_DATA_STREAMS.log

Iโ€™m constantly building and experimenting! Hereโ€™s a snapshot of my ongoing projects in a modern portfolio grid layout:


๐Ÿ“˜ Beginner to Advanced ML Guide ๐Ÿ“ Machine Learning In-depth Notes
> Step-by-step ML guide for beginners โ†’ advanced learners with real datasets, hands-on projects, and exercises.
Tech: Python โ€ข NumPy โ€ข Pandas โ€ข Scikit-learn
๐Ÿ”— View Repo
> Comprehensive ML notes & examples, covering algorithms, models, pipelines, and coding exercises.
Tech: Python โ€ข ML Concepts โ€ข Hands-on Examples
๐Ÿ”— View Repo
โšก Predictive Maintenance System ๐Ÿค– Neural Networks from Scratch
> End-to-end predictive maintenance pipeline for manufacturing machines. Best ML/DL model deployed live via Streamlit.
Tech: Python โ€ข TensorFlow โ€ข PyTorch โ€ข Streamlit โ€ข MLflow
๐Ÿ”— View Repo
> Neural Networks from scratch: forward & backward pass, training on sample datasets, visualization included.
Tech: Python โ€ข NumPy โ€ข Matplotlib โ€ข ML Fundamentals
๐Ÿ”— View Repo

  • ๐Ÿ–ฅ๏ธ Interactive Portfolio โœจ   - A Spotify-style digital gateway into my creative matrix, built with React & Tailwind.
  • ๐ŸŒŸ Objective: Share resources to help you supercharge your ML journey. Star โญ and follow for mission updates!


๐Ÿ“„ > ACCESS_RESUME: RESUME.pdf

Resume

Click above to view or download my resume. Always updated with latest projects and experience. ๐Ÿ› ๏ธ


๐Ÿ’ป > WEAPONS_&_SYSTEMS_ARSENAL: TECH_STACK.json

 

 

๐Ÿงฌ Data Manipulation & Analysis Cores

                  

๐Ÿค– Machine Learning & AI Frameworks

              

๐Ÿš€ Deployment & Orchestration Protocols

       

๐ŸŒŸ > MISSION_LOGS: HIGHLIGHTED_OPERATIONS.md

๐Ÿ”ฎ Operation: Visa Oracle (End-to-End MLOps)

  • Tech Stack: Python, Scikit-learn, Flask, Docker, MLflow, AWS, CI/CD pipelines
  • Mission Brief: ๐Ÿ—‚๏ธ Architected and deployed a fully automated prediction pipeline for US visa approval probabilities. Features real-time model evaluation, versioning, and seamless cloud deployment. โ˜๏ธ

๐Ÿ›ก๏ธ Operation: Cyber Sentinel (Real-Time Threat Detection)

  • Tech Stack: Python, Scikit-learn, Flask, MLflow, DVC, Gitlab Actions
  • Mission Brief: ๐Ÿ”’ Constructed a hardened, version-controlled defense grid against network anomalies. This system uses an ensemble of detection models, orchestrated via DVC and MLflow, to identify and neutralize threats with high precision.

โš™๏ธ Operation: Predictive Maintenance (Manufacturing Machines)

  • Tech Stack: Python, PyTorch, Scikit-learn, Streamlit,Seaborn,Matplotlib,Transformer
  • Mission Brief: ๐Ÿญ Developed an end-to-end predictive maintenance system for manufacturing machinery. Trained and compared multiple ML/DL models to identify the best-performing model for failure prediction. Integrated live deployment using Streamlit, enabling real-time monitoring and alerts for machinery health, optimizing uptime and reducing operational costs. โšก

๐Ÿ“Š > PERFORMANCE_METRICS: SYSTEM_STATUS.dat

๐Ÿš€ CYBERNETIC PERFORMANCE DASHBOARD ๐Ÿš€

  Loading


๐Ÿ“ˆ CORE STATISTICS

  Contribution Streak   Total Commits   Projects Completed


๐Ÿงฌ CODING DNA SEQUENCE

  Top Languages


๐ŸŒŒ ACTIVITY HEATMAP


๐Ÿ“ก > ESTABLISH_COMMUNICATION_CHANNEL: CONNECT.hail

Transmit a signal to initiate a connection... ๐Ÿ›ฐ๏ธ

LinkedIn LeetCode GitHub


// System assembled with ๐Ÿ”ฉ and โšก by Anand J

Always learning, always building, always pushing the boundaries of the digital frontier. ๐Ÿš€

Pinned Loading

  1. Beginner_to_Advance_Machine_Learning_for_Freshers Beginner_to_Advance_Machine_Learning_for_Freshers Public

    ๐Ÿš€ Machine Learning Workflow โ€“ The Ultimate Beginnerโ€™s Guide to Master ML An all-in-one structured guide to mastering Machine Learning โ€” from data analysis, statistics, and ML algorithms to real-worโ€ฆ

    Jupyter Notebook 3

  2. End_to_End_ML_Project_with_DagsHub_Mlflow_DVC End_to_End_ML_Project_with_DagsHub_Mlflow_DVC Public

    ๐Ÿš€ End-to-End ML Pipeline with DVC & MLflow ๐Ÿ”๐Ÿ“Š A hands-on, production-ready ML pipeline built from scratch โ€” showcasing data versioning (DVC), experiment tracking (MLflow), and remote collaboration โ€ฆ

    Python 2

  3. Network_Security_end_to_end_Mlops_DVC_Mlflow Network_Security_end_to_end_Mlops_DVC_Mlflow Public

    ๐Ÿ” Network Security Threat Detection | End-to-End MLOps Pipeline ๐Ÿš€ An end-to-end production-grade ML pipeline for Network Intrusion Detection, integrating modern MLOps tools โ€” MLflow, DVC, Docker, Gโ€ฆ

    Python 2

  4. Machine_Learning_indepth_notes Machine_Learning_indepth_notes Public

    ๐ŸŒŸ Machine Learning In-depth Notes ๐Ÿ“˜ is an open-source collection of from-scratch implementations of Machine Learning algorithms, complete with research papers, Python scripts, and Jupyter notebooksโ€ฆ

    Jupyter Notebook

  5. PredictiveMaintenance_AIStudy PredictiveMaintenance_AIStudy Public template

    AI-powered predictive maintenance system for industrial machines. Real-time monitoring, failure prediction, and actionable insights using XGBoost and interactive Streamlit dashboards.

    Jupyter Notebook

  6. Neural_Networks_from_Scratch Neural_Networks_from_Scratch Public

    ๐Ÿง  Neural Networks from Scratch โ€” A hands-on guide to building and understanding neural networks using only Python + NumPy. Learn everything from perceptrons to backpropagation and optimization, briโ€ฆ

    Jupyter Notebook 2