π« About Me
Hi, I'm Rajdip - a Computer Engineering graduate passionate about building AI-powered applications that solve real-world problems.
My primary interests are Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, and Backend Development. I enjoy designing intelligent systems that combine reasoning, retrieval, and scalable APIs to create practical AI solutions.
I've built end-to-end AI and ML applications, including:
- π€ Adaptive RAG System using LangGraph, LangChain, Qdrant & FastAPI
- π§ AI Agent workflows with intelligent query routing and ReAct-based reasoning
- π NLP-based Fraud Detection (ROC-AUC: 0.92)
- π Retail Sales Analytics & Demand Forecasting
- Agentic AI & AI Agents
- LLMs, RAG Pipelines & Prompt Engineering
- LangChain, LangGraph & Vector Databases
- FastAPI, Flask & REST APIs
- Python, Scikit-learn, XGBoost & TensorFlow
- MongoDB, PostgreSQL & Docker
I'm always exploring new AI technologies and enjoy building production-ready applications that bridge research with real-world impact.
Additionally, I have experience in web and mobile application development using React, Next.js, Flutter, Firebase, and REST APIs.
Languages: Python, JavaScript, SQL, HTML5/CSS
Databases: MongoDB, MySQL, Qdrant, Postgresql
Frameworks & Technologies: Flask, FastAPI, React, Next.js, Node.js
Developer Tools: Git, Docker, Kubernetes, MLflow, Postman, Jira
Platforms & Cloud: GitHub, AWS
Data & Analytics Tools: Microsoft Excel, Power BI
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Keras, SpaCy, OpenCV
