Skip to content
View RahulSaini02's full-sized avatar

Block or report RahulSaini02

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
RahulSaini02/README.md

Hi 👋, I'm Rahul Saini

AI software engineer with 5 years of experience building data-intensive and intelligent applications across cloud environments. Experienced in developing end-to-end AI systems including RAG pipelines, LLM-powered applications, workflow automation, and full-stack development using React, FastAPI, NodeJS, AWS and Maven. Strong background in designing scalable backend services, building APIs and integrating ML/LLM models into production software. Passionate about agent-based AI architectures, tool orchestration, and building real-world AI products that drive business value.


🎓 Education: Master’s in Data Science @ UAB — Graduated 2025
💼 Past: Business Intelligence Analyst & Cloud Developer at Tata Consultancy Services


🧠 Core Skills:

  • AI & Agentic AI: Strands, AgentCore
  • BI & Analytics: SQL, Tableau, Power BI, KPI Dashboards, Redshift
  • Cloud & DevOps: AWS (EC2, Lambda, S3), Docker, GitHub Actions
  • Programming: Python (Pandas, NumPy, Flask), Next.js

📫 Personal Portfolio: Portfolio

🚀 Languages and Tools I Use

python pytorch tensorflow pandas seaborn opencv scikit_learn mysql postgresql redis oracle aws docker kubernetes heroku postman git linux typescript nodejs


⚡️ Where to find me

linkedin

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