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Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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S4srihari/README.md

Hi There,👋

Typing SVG

Full-Stack Software Engineer | AI/ML and Cloud | Building, Breaking, and Re-Building Efficiently

  • I love building intelligent, scalable systems and solving real-world problems through technology.
  • Sharpest tools in my Arsenal are Data Structures & Algorithms, Software Development, Machine Learning, Cloud-Native applications.
  • I'm Always eager to learn, collaborate, and seek constructive feedback to improve continuously and deliver engineering excellence.

Contact

LinkedIn GitHub Portfolio Email

🧩 Technical Skills

💻 Programming Languages

Python JavaScript C++ TypeScript Java

🎨 Frontend Development

HTML5 CSS3 Tailwind CSS React Angular

🔨 Bakend development

🤖 Machine Learning / AI

☁️ Cloud & DevOps

🔧 Databases

MySQL PostgresL SQLite SQLAlchemy MongoDB redis

Thanks for your time and stopping by!! Feel free to explore my repositories and reach out if you have any questions or just want to chat! 😊

Popular repositories Loading

  1. HR_chatbot_with_RAG HR_chatbot_with_RAG Public

    HR-Insight-RAG is an AI-powered assistant that leverages Retrieval-Augmented Generation to provide instant, policy-grounded answers from internal HR documentation. It serves as a 24/7 first point o…

    Jupyter Notebook 1

  2. SQL_50 SQL_50 Public

    Here are my working solutions for the Sql50 problems in the Leetcode study plan.

  3. Data_Structures_and_Algorithms Data_Structures_and_Algorithms Public

    Here are my Leetcode Problem solving and DSA working Solutions.

    Python

  4. ImageTampering-Detection ImageTampering-Detection Public

    Digital Image Tampering Detection using Error Level Analysis and Deep Learning. Ever wondered which one is Real and Deep Fake? How to distinguish between them? Here is my project to answer you.

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  5. Recommendation-System Recommendation-System Public

    This Project involves in Data Acqusition, Data Cleaning, Exploratory Data Analysis, Training and testing Different Machine Learning Models for finding the best suited Algorithm and Deploying the Pr…

    Python

  6. Implementing_ML_Algos_From_Scratch Implementing_ML_Algos_From_Scratch Public

    In this project I implemented K-Means Machine Learning Algorithm, how to choose K in K-means, Principal Component Analysis, Naive Bayes Algorithms From Scratch. If you want to gain the deeper under…

    Jupyter Notebook