I'm a 3rd-year B.Tech student in Electronics and Communication Engineering at IIIT Una, passionate about building intelligent AI systems that solve real-world healthcare and NLP challenges. With a strong foundation in Machine Learning, Deep Learning, and Natural Language Processing, I've been exploring cutting-edge technologies to create impactful data-driven solutions.
Currently, I'm expanding my expertise into MLOps, LangChain, RAG (Retrieval-Augmented Generation), and Model Context Protocol (MCP), combining my problem-solving mindset with modern frameworks to bring research-driven ideas into practical, scalable AI applications.
📍 Location: Una, India
📧 Email: abhishek.kr0418@gmail.com
🔗 LinkedIn: Kumar Abhishek
💻 GitHub: kumarAbhishek2004
- Core ML: Supervised/Unsupervised Learning, Model Evaluation, Feature Engineering, Hyperparameter Tuning
- Deep Learning: Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Transformers
- NLP: Natural Language Processing, BERT, Text Classification, Question Answering, Semantic Analysis
- Computer Vision: OpenCV, Image Processing, Object Detection
- MLOps Tools: Docker, MLflow, DVC (Data Version Control), GitHub Actions (CI/CD)
- Cloud Platforms: AWS (EC2, S3), Cloud Deployment
- API Development: FastAPI, Flask
- Model Deployment: Streamlit, Model Serving
- LangChain: Building LLM-powered applications, AI agents, and intelligent workflows
- LangGraph: Graph-based AI workflows, state management, and complex agent orchestration
- RAG (Retrieval-Augmented Generation): Enhanced AI responses with external knowledge retrieval
- MCP (Model Context Protocol): Building intelligent system integrations and context-aware applications
- Transformers: Hugging Face Transformers, BERT, GPT architectures, Advanced NLP models
- LLM Integration: Prompt Engineering, Chain of Thought, Function Calling
- Libraries: NumPy, Pandas, Matplotlib, Seaborn
- Visualization Tools: Power BI, Microsoft Excel
- Tools: Jupyter Notebook, Google Colab
- Skills: Data Mining, Statistical Analysis, Feature Engineering, Data Visualization
- Advanced Analytics: Exploratory Data Analysis (EDA), A/B Testing, Business Intelligence
- Frontend: React.js, HTML5, CSS3, JavaScript
- Styling: Tailwind CSS, Bootstrap, Framer Motion, shadcn-ui
- Backend: Node.js, Express.js (basic)
- Full Stack: Responsive Design, Modern UI/UX
- Databases: PostgreSQL, SQL
- Data Management: Database Design, Query Optimization
- Version Control: Git, GitHub, GitHub Actions
- IDEs & Editors: Jupyter Notebook, VS Code, PyCharm
- Engineering Tools: MATLAB, PCB Design
- Other: Data Mining, Algorithm Design, Problem Solving
- 🔬 Exploring advanced ML techniques and MLOps best practices
- 🏗️ Building end-to-end AI applications with LangChain and RAG
- 🧪 Experimenting with Model Context Protocol (MCP) for intelligent systems
- 🚀 Deploying scalable ML models using Docker, FastAPI, and AWS
- 📚 Strengthening Data Structures & Algorithms for technical interviews
- 💡 Contributing to open-source AI projects
I'm always excited to collaborate on AI/ML projects, discuss innovative tech ideas, or help with data science challenges. Feel free to reach out!
- 🌟 Passionate about applying AI to healthcare problems
- 📊 Love turning raw data into actionable insights
- 🤖 Fascinated by Large Language Models and Generative AI
- 🎯 Always learning new MLOps tools and techniques
- 🌐 Fluent in Hindi (Native) and English (Proficient)
"Building AI solutions that make a difference, one model at a time."