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RahulSaini02/README.md

Rahul Saini

AI Software Engineer

Building intelligent applications, from data to deployment.

Portfolio  ·  LinkedIn  ·  Repositories

I build AI applications that connect models, data, and useful software. Over the past 5 years, my work has spanned cloud development, analytics, and end-to-end AI systems, from RAG pipelines and LLM integrations to APIs and full-stack applications.

My focus is on agent architectures, tool orchestration, and workflow automation: bringing the pieces together into products people can use.

Selected work

GenAI Cookbook

A collection of technical notes, source code, and hands-on projects across AI and software engineering.

Engineering Portfolio

Explore my projects, experience, and approach to building AI applications.

What I work with

Area Tools & technologies
AI & agents RAG · LLM applications · Strands · AgentCore
Applications Python · TypeScript · FastAPI · React · Next.js · Node.js
Cloud & delivery AWS · Docker · GitHub Actions
Data & analytics SQL · Pandas · NumPy · Redshift · Tableau · Power BI

Background

Master’s in Data Science, University of Alabama at Birmingham · 2025

Experience in business intelligence and cloud development at Tata Consultancy Services.

Interested in AI systems, developer tools, or a project we could build together? Let’s connect.

Pinned Loading

  1. gen-ai-cookbook gen-ai-cookbook Public

    This repository is organized into modular folders covering core technical domains and hands-on learning tracks. Each folder contains structured notes, source code, and projects for applied learning.

    Jupyter Notebook 1

  2. machine-learning-projects machine-learning-projects Public

    A curated collection of end-to-end machine learning projects, featuring modular pipelines, feature engineering, model tracking with MLflow, and clean project structures ready for production or port…

    Jupyter Notebook

  3. crm-data-warehouse-analytics crm-data-warehouse-analytics Public

    This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights i…

    PLpgSQL

  4. pytorch-foodvision-101 pytorch-foodvision-101 Public

    FoodVision 101 is a deep learning project built with PyTorch and Gradio that classifies food images. It demonstrates end-to-end workflow from dataset processing, model training (EfficientNetB2 and …

    Jupyter Notebook