I’m Sagar, a program lead who experiments with AI, machine learning, and data. This is where I share what I learn along the way, along with the occasional musing.
Forecasting in SQL: Building an Air Quality Model in BigQuery
Building and validating an air-quality forecasting model in BigQuery ML—and finding the data leakage that would break it in production.
Mapping r/conspiracy via Vertex AI & BigQuery ML
Using Vertex AI and BigQuery ML to classify 1.2 million r/conspiracy posts with a teacher-student pipeline.
Iterating ML models using Weights & Biases
Using Weights & Biases to track experiments and systematically improve a noisy regression model.
Beyond Keywords: Unlock Smarter AI with Semantic Search
Building semantic search with embeddings to retrieve relevant results beyond literal keyword matches.
AI Powered Small-Business ChatBot
Building a retrieval-augmented chatbot for small-business information and exploring where RAG helps—and where it does not.
Building Snoop-Speare
Fine-tuning a small language model on Snoop Dogg and Shakespeare to explore data preparation, tokenization, and causal language modeling.
High-Performance Image Classification with PyTorch and Hugging Face
Fine-tuning a pretrained Vision Transformer on a 6,000-image subset of Fashion-MNIST, with a custom PyTorch training loop and a macro F1 score of 0.9318.