Machine Learning

Hi, I'm glad you're here.

I'm an expert in NLP, RAG architectures, and time-series forecasting. I focus on deploying scalable ML solutions with MLOps best practices, and I love the challenge of transforming complex business requirements into production-ready pipelines that include monitoring and explainability.

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Technical Expertise

Programming

Python SQL

ML/DL Frameworks

TensorFlow PyTorch Scikit-learn XGBoost Transformers LangChain Sentence-Transformers

Data & Analytics

Pandas NumPy SHAP LIME Matplotlib Seaborn Tableau Power BI

MLOps & Deployment

Docker MLflow FastAPI Streamlit GitHub Actions GCP CI/CD Redis ChromaDB

Specializations

RAG Fine-Tuning Time-Series Forecasting NLP Computer Vision Clustering XAI Anomaly Detection

Featured Projects

Crypto AI Analytics Platform

Architected unified MCP monolith for multi-horizon forecasting, RAG, and on-chain analytics serving 1000+ queries/day with production RAG implementation.

Demo GitHub

RAG Chatbot for Architecture Students

A LangChain-powered RAG chatbot designed to assist Bachelor of Architecture students with 5th semester coursework, studio queries, and design theory.

Demo GitHub

Medical Insurance Costs

Machine learning model to predict medical insurance costs using regression analysis and feature engineering techniques.

Demo GitHub

Credit Card Customer Clustering

Unsupervised learning project to segment credit card customers using K-means clustering for targeted marketing strategies.

Demo GitHub

Spam Detector

NLP-based email spam detection system using machine learning algorithms to classify emails as spam or legitimate.

Demo GitHub

Delivery Time Predictor

Machine learning model to predict delivery times for logistics optimization using regression techniques and feature engineering.

Demo GitHub

Experience & Education

Oct 2024 – Present