I’m passionate about designing intelligent systems that merge data science, software engineering, and creative problem-solving. I build AI-driven applications, from conversational agents to MLOps pipelines — turning raw data into smart, scalable systems.
- 🔭 Building multi-agent and reinforcement-learning powered systems
- 🌱 Exploring LLMs, MLOps, and multi-modal AI architectures
- 💡 Passionate about AI innovation, data-driven automation, and cognitive agents
- 🧠 Strong foundation in ML, Deep Learning, and Data Science
- ⚙️ Always learning — always shipping new projects!
🚀 Wisdom-Primary-Repo —> Learning Hub for Python, SQL, DSA & Data Science
💬 LogicLink-Project —> Conversational AI Chatbot powered by TinyLlama
📄 Scriptoria-Project —> AI-powered framework for intelligent document parsing & annotation
🤖 Cryptrizx-Binance-Bot-Project —> Automated Binance trading bot with CLI & GUI support
🦈 Global-Shark-Attack-Project —> Flask ML app predicting shark-attack risk (High/Low)
💻 Laptop-Cost-Evaluation-Project —> ML-powered web app to predict laptop market prices
🍔 Foodie-Guru-Agent-Project —> Conversational AI for intelligent fast-food recommendations
📡 Near-Field-Communication-Project —> NFC detection & Web-NFC experiments with Android/Kotlin
🧠 Agentic-AI-Practice —> Playground for building autonomous, goal-directed AI agents
🔗 MLOps-Dagshub-Practice —> Streamlined MLOps pipeline with DagsHub for versioning & tracking
☕ Java-Learning —> Core Java concepts for DSA, OOP, and application development
🖥️ CPP-Learning —> In-depth C++ repo covering OOP, STL, templates, and recursion
🎓 Engineering-Acad-Works —> Academic projects & coursework resources (DBMS, Web Tech, etc.)
🧬 Deep-Learning-Practice —> Deep learning resources, NLP, and FreeCodeCamp challenges
📊 Kaggle-Works —> Organized workflow for Kaggle competitions & tabular ML projects
📈 Machine-Learning-Practice —> Classic ML algorithms & projects in structured Jupyter notebooks
