Blogs

How I Set Up Claude Code on Every AI/ML Project

Agentic AI

Claude Code

MCP

LLM

A field-tested, verified setup for Claude Code with proper user/project/local scope isolation: every package name checked against npm/PyPI/GitHub, real cost numbers for LLM eval tools, MCP context-tax measurements, permission denylists, and project-specific patterns for FastAPI, LangGraph, RAG, fine-tuning, and computer vision. Includes self-applying bootstrap with copy-paste init prompts.

Claude Code Project Init Spec

Agentic AI

Claude Code

MCP

LLM

Executable setup spec for Claude Code: scope-correct MCP installs (user vs project), plugin installs, project-type detection, scaffold templates, and dependency setup. Companion spec to The Ultimate Claude Code Setup — run this, not the blog post.

Production-Grade Multi-Provider LLM Fallback on Free Tiers (2026)

Agentic AI

NLP

LLM

Infrastructure

RAG

Structured outputs, retry/fallback semantics, mid-stream failover, and observability — building real LLM infrastructure on Gemini, Groq, Cerebras, and OpenRouter free tiers.

Graph RAG

NLP

Approach uses an LLM to build a graph-based text index in two stages: first to derive an entity knowledge graph from the source documents, then to pregenerate community…

CI/CD Pipeline Documentation

System

This document outlines the CI/CD pipeline configuration for deploying a Docker container to an EC2 instance using GitHub Actions, Amazon ECR (Elastic Container Registry)…

Setting up Conda Environment for ML Projects

System

This blogpost is written for myself as I keep forgetting the steps to set up a conda environment for my ML projects.

Suraj Jaiswal and Ayush Shrivastava

Process and Screen

System

To know the owner of the process

Suraj Jaiswal and Siddhesh Dosi

Logistic Regression using the Pyro

Regression

Here we implement Logistic Regression using the Pyro library.

Image Super Resolution

Deep Learning

The central aim of Super-Resolution (SR) is to generate a higher resolution image from lower resolution images. It is basically the process of retrieving the underlying high…

Baysian Linear Regression blog

Regression

Bayesian

—title: “Baysian Linear Regression blog”author: “Suraj Jaiswal”date: “June 18, 2023”format: htmlcategories: [“Regression”, “Bayesian”]execute: freeze: true—

Plots for bayesian LR

Baysian Linear Regression

\[ y = \boldsymbol x^T\boldsymbol\theta + \epsilon\,,\quad \epsilon \sim \mathcal N(0, \sigma^2) \] Where $ $ is the noise from normal distribution with variance \(\sigma^2\)…