I build intelligent data and AI systems that merge structured learning with generative reasoning.
My work focuses on Machine Learning, LLM Architectures, and AI workflow automation using frameworks like LangGraph and CrewAI.
This space documents my experiments — transforming models, agents, and pipelines into interactive, real-world applications.
- Applied Machine Learning — Regression, Classification, Feature Engineering
- Generative AI Systems — LangChain, LangGraph, CrewAI, RAG Pipelines
- Deep Learning & NLP — TensorFlow, Keras, NLTK, Transformers
- Deployment — Streamlit-based AI and ML applications
End-to-End Generative AI projects LLM-driven systems that automate reasoning, summarization, and analytics.
- AI Ticket Triage System (LangGraph) – Automates ticket classification and routing
- Business Consultant Analyst (CrewAI) – AI agent generating business insights from datasets
- QueryMyPDF (RAG) – Conversational interface for document understanding
Stack: LangChain · LangGraph · CrewAI · Pinecone · ChromaDB · FAISS · OpenAI API · HuggingFace API · Groq API · Streamlit
Exploring Recurrent Neural Networks (RNNs) for sequential data analysis and sentiment classification.
This project focuses on understanding text emotions using RNN architectures trained on Twitter and Reddit sentiment datasets.
- Twitter and Reddit Sentiment Analysis – Performs sentiment classification (Positive, Neutral, Negative) using Recurrent Neural Networks.
Stack: TensorFlow · Keras · NLTK · pandas · numpy · matplotlib · seaborn · Streamlit
End-to-end Deep Learning projects built with TensorFlow and Keras showcasing how ANNs solve real-world problems in both regression and classification tasks.
- Spotify Churn Prediction – Classification using Artificial Neural Networks (Streamlit Deployed)
- Beats Per Minute (BPM) Prediction – Regression model predicting song tempo (Kaggle Playground Series - S5E9)
Stack: TensorFlow · Keras · scikit-learn · pandas · numpy · matplotlib · seaborn · Streamlit
End-to-end ML workflows for predictive modeling and data-driven decision systems.
- Medical Premium Price Prediction – Regression model for healthcare pricing
- Bank Churn Prediction – Predicts customer churn using ensemble ML
- Rainfall Forecasting – Gradient boosting for weather prediction
- Used Car Price Prediction - Predict the selling price of used cars using features such as brand, manufacturing year, kilometers driven, etc.
Stack: scikit-learn · Linear Regression · Logistic Regression · Decision Tree · AdaBoost · Random Forest · XG Boost · Gradient Boost · KNN · pandas · numpy · matplotlib · seaborn · Streamlit
- Advancing LangGraph-based LLM architectures for autonomous reasoning
- Building CrewAI agents for data analytics and business intelligence
- Deepening study in RNNs, Transformers, and Large Language Models
- Experimenting with Generative AI pipelines for real-world data systems