Technical Blog
In-depth articles on every project I have built — business context, architecture, full technology stack, delivery phases, and outcomes. Written by Yogendra Raghuvanshi.
Built an AI SQL Agent using LangGraph and OpenAI models for automated query generation and workflow orchestration. Built with LangGraph, OpenAI, Python, SQL.
Designed a continuous improvement loop to capture feedback and retrain prompts/models for accuracy. Built with GenAI, Python, MLOps patterns.
Implemented streaming analytics with NATS, SQLMesh, and RisingWave for monitoring and failure detection. Built with NATS, SQLMesh, RisingWave, Python.
Engineered ETL and analytics on StarRocks, Apache Spark, and MinIO for large-scale processing. Built with StarRocks, Apache Spark, MinIO, Python.
Developed NBA application with model-driven recommendations and integrated feedback capture. Built with Python, ML, React.
Built a VS Code extension to execute and visualize fetchdf commands in-editor. Built with SQLMesh, TypeScript, VS Code API.
Designed engine using metadata models, ERDs, and profiling rules to generate composable synthetic datasets. Built with Python, Metadata models, ERD tooling.
Built analytics platform using Polars for larger-than-memory querying and processing. Built with Polars, Python.
Custom StarRocks FE+CN benchmarks on GCP and OCI using Terraform and JMeter. Built with StarRocks, Terraform, JMeter, GCP, OCI.
React + OpenAI assistant translating natural language to Oracle SQL for project analytics. Built with React, OpenAI, Oracle SQL.