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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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AyushGupta16/README.md

💫 About Me:

🔭 I'm currently building AI-powered applications, scalable web platforms, and developer tools.

💼 I'm actively seeking full-time opportunities as a:
• Software Development Engineer (SDE)
• Machine Learning Engineer (MLE)
• AI Engineer
• Full-Stack Engineer
• Frontend Engineer
• Software Engineer

👯 I'm looking to collaborate on open-source software, AI products, and impactful engineering projects.

🌱 I'm currently learning LLMs, Agentic AI, RAG, Distributed Systems, Cloud Computing, and System Design.

💬 Ask me about Python, React, TypeScript, Machine Learning, AI, REST APIs, and Full-Stack Development.

⚡ Fun fact: I enjoy building software that bridges intelligent systems with intuitive user experiences.

🌐 Socials:

Discord LinkedIn Medium Stack Overflow email

💻 Tech Stack:

Python C++ C JavaScript Markdown HTML5 TypeScript Windows Terminal Cloudflare Netlify Google Cloud Vercel Anaconda Django Flask FastAPI OpenCV OpenGL Next JS React React Router Streamlit TailwindCSS Vite MicrosoftSQLServer MySQL Postgres SQLite Supabase Adobe Illustrator Adobe Photoshop Canva Figma Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub Actions GitHub Git GitLab Vitest Docker Kubernetes Notion Prettier Postman

📊 GitHub Stats:



✍️ Random Dev Quote

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  3. RAG_Optimizer RAG_Optimizer Public

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  5. AI-Driven-Cultural-Artifact-Recognition-App AI-Driven-Cultural-Artifact-Recognition-App Public

    Forked from GanesshMM/AI-Driven-Cultural-Artifact-Recognition-App

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  6. Churn_Customer_Problem-ML_Project Churn_Customer_Problem-ML_Project Public

    Built and designed an ML training model that assessed machine learning algorithmic neural networks from organisation model statistics which enabled easy distribution and data classification.

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