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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

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loisekk/README.md


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Python Oracle Cisco LeetCode Profile Views

👨‍💻 About Me

🏎️ View My Tech Stack 🤖

📊 GitHub Stats

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GitHub Streak

📋 Profile Summary

📈 Engineering Momentum

GitHub Trophies

🌌 3D Contribution Graph

Yash Brahmankar 3D Contribution Graph

✨ Contribution history rendered as an animated 3D constellation

YASH B. — Pixel Name Art

🟩 Name rendered in GitHub contribution-style green pixel blocks

🐍 Contribution Snake

🗺️ Learning Roadmap

Area Status
🐍 Python & DSA (LeetCode) ✅ Active
🤖 Machine Learning & Deep Learning ✅ Active
🧠 LLM Engineering & Agentic AI ✅ Active
📊 Data Science & Analytics ✅ Active
🔗 LangGraph & Multi-Agent Systems 🔄 In Progress
☁️ Cloud & MLOps 🔄 In Progress
🌐 API Development (FastAPI) 🔲 Upcoming
🐳 Docker & Deployment 🔲 Upcoming

🌍 Let's Connect

📍 Bhopal, Madhya Pradesh, India  |  🎓 AIML @ OIST  |  📧 yashbrahmankar95@gmail.com


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⚡ Building Intelligent AI Systems Today — For a Smarter Tomorrow ⚡

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  1. Advanced-Langflow-Web-Agent Advanced-Langflow-Web-Agent Public

    Multi-source agentic AI research system — parallel LangGraph agents scrape Google, Bing & Reddit, reason with source-tuned LLMs, and synthesize triangulated answers via OpenRouter + Bright Data.

    Python 2

  2. WEB-SEARCH-AGENT WEB-SEARCH-AGENT Public

    Terminal-first AI web search agent. Smart CLI builds precise YouTube & Google queries, auto-launches a custom Streamlit video platform with inline player, shorts, and 45 related suggestions — power…

    Python 3

  3. HARD-LEET-CODE HARD-LEET-CODE Public

    Phase 3 of my 100 Days of LeetCode — conquering Hard DSA problems for FAANG readiness, one solution at a time.

    Python 2

  4. f1-race-replay f1-race-replay Public

    Forked from IAmTomShaw/f1-race-replay

    An interactive Formula 1 race visualisation and data analysis tool built with Python! 🏎️

    Python 3

  5. Ford-Car-Price-Prediction Ford-Car-Price-Prediction Public

    End-to-end machine learning project analyzing the Ford car dataset with EDA, feature engineering, and a Linear Regression model achieving R² score of 0.91.

    Jupyter Notebook 3

  6. f1-strategy-engine f1-strategy-engine Public

    > ML-powered F1 pit stop prediction platform. Trained on 101K+ lap records (2022–2025) using XGBoost. Features real-time strategy prediction, 3D circuit visualization, tyre degradation modeling, an…

    Jupyter Notebook 2