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AkshayChandole/README.md

πŸ‘‹ Hi, I'm Akshay Chandole

πŸš€ Software Engineer | Full-Stack Developer | AI & Automation Enthusiast
πŸ“ Maharashtra, India

I am a software engineer with 5+ years of experience building scalable enterprise applications, AI-powered tools, and automation solutions.
I enjoy solving real-world problems using clean architecture, modern frameworks, and practical AI.


🧠 About Me

  • πŸ’Ό Software Engineer with strong experience in Java, C++, JavaScript, Node.js, React
  • πŸ€– Built AI-driven applications for document processing, planning, and automation
  • 🏭 Experience working on enterprise-scale systems (PLM, microservices, CI/CD)
  • πŸ›  Passionate about clean code, system design, and developer productivity
  • πŸ“ˆ Actively preparing for top product-based company roles

πŸ› οΈ Technical Skills

πŸ’» Programming Languages

  • Java
  • C++
  • JavaScript
  • Python

βš™οΈ Frameworks & Libraries

  • Node.js
  • React.js
  • Express.js
  • Electron
  • REST APIs

☁️ AI / Backend / DevOps

  • LLMs & RAG pipelines
  • Microservices architecture
  • Git & GitHub
  • Docker
  • CI/CD (GitLab, Jenkins)

🧩 Domains

  • Full-Stack Development
  • AI Applications
  • Enterprise Systems
  • Automation Tools

πŸ’Ό Professional Experience

🏒 Software Engineer β€” Siemens

(5+ Years Experience)

  • Designed and developed enterprise-grade applications using Java, C++, Node.js, and React
  • Built AI-powered BOP Builder application using Electron, React, Node.js, and C++
  • Developed Easy Plan AI microservice for kitting and process automation
  • Worked on PLM systems, legacy modernization, and integration workflows
  • Collaborated in cross-functional teams following agile methodologies

πŸš€ Featured Projects

πŸ”Ή BOP Builder

Tech: Electron, React, Node.js, C++, Python

  • AI application to generate Bills of Process from legacy documents
  • Improved planning efficiency and reduced manual effort

πŸ”Ή Easy Plan AI Microservice

Tech: Node.js, Python, REST APIs

  • AI-based microservice for intelligent kitting and planning
  • Designed scalable and modular backend architecture

πŸ”Ή Gemini Document QnA (RAG)

Tech: Python, LLMs, Vector DB

  • Intelligent document search and QnA using Retrieval-Augmented Generation
  • Supports large document ingestion and contextual answers

πŸ”Ή Agentic AI Blog Generator

Tech: Python, AI Pipelines

  • Multi-agent AI system to generate blogs automatically
  • Supports multilingual content creation

πŸ“Œ What I’m Currently Working On

  • Advanced LLM-based applications
  • System design & DSA preparation
  • Improving open-source and GitHub presence

🀝 Connect With Me


⭐ If you like my work, consider starring my repositories!

Pinned Loading

  1. Gemini-Document-QnA-RAG-Application Gemini-Document-QnA-RAG-Application Public

    Intelligent document Q&A application using Retrieval-Augmented Generation (RAG) powered by Google Gemini AI. Upload PDF or TXT documents, ask questions, and get context-aware AI responses using vec…

    Python

  2. Agentic-AI-Blog-Generation Agentic-AI-Blog-Generation Public

    A sophisticated AI-powered blog generation system that leverages LangGraph and Google Gemini AI to automatically generate, optimize, and translate blog content across multiple languages.

    Python

  3. VM-Manager VM-Manager Public

    VM Manager webapp to manage Virtual Machines (VMs) effortlessly through a user-friendly interface.

    JavaScript

  4. Low-Level-Design-Handbook Low-Level-Design-Handbook Public

    Low Level Design Interview Handbook

    1

  5. Cpp-Handbook Cpp-Handbook Public

    Welcome to Cpp-Handbook, your one-stop resource for mastering C++! This repository is designed for aspiring developers who want to become expert C++ professionals. Whether you’re just starting with…