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simran2104/README.md

Simran Dhiman

Software Engineer | AI/ML | Backend & Distributed Systems

GitHub Views

👩‍💻 About Me

I’m a Software Engineer interested in building scalable software systems and exploring how AI and Machine Learning can be applied to real-world engineering problems.

My experience spans backend engineering, distributed systems, APIs, messaging, databases, and cloud technologies. Alongside software engineering, I'm expanding into Machine Learning, NLP, Generative AI, RAG, and intelligent applications.

I enjoy taking a problem from idea → architecture → implementation → experimentation and turning it into something that actually works.


🚧 Currently Building

  • 🤖 AI-powered applications using Machine Learning, NLP and LLMs
  • 🔗 RAG-based applications and intelligent retrieval systems
  • 🧠 Machine learning models for real-world prediction problems
  • ⚙️ Scalable backend services and distributed systems
  • 🛠️ Exploring AI agents and AI-assisted software engineering
  • 📊 Data-driven applications combining software engineering and ML

🛠  My Tech Stack

  • 🗄️ Databases: PostgreSQL MySQL

  • 🎨 Frontend: HTML5 CSS3 jQuery AJAX

  • ☁️ Cloud & DevOps: AWS Docker Git GitHub Jenkins

  • 💻 Programming Languages: Java Python JavaScript SQL

  • 🛠️ Tools: IntelliJ IDEA VS Code Postman JIRA Confluence Jupyter

  • ⚙️ Backend: Spring Boot Micronaut Node.js Express.js Apache Kafka RabbitMQ gRPC REST API WebSockets


🏆 Highlights

  • 🏆 Technical Star Award Recipient - Yamaha Motor Solutions
  • 🥈 Smart India Hackathon 2020 Finalist
  • 🎯 Top 10 - Coderita 2.0 National Coding Competition
  • 👩‍💻 Technical Lead - Google Developer Student Clubs
  • 🌐 North India Ambassador - Women Techmakers
  • ☕ Oracle Certified Java SE 8 Programmer
  • 💡 Microsoft Engage'21 Participant

🔭 Areas of Interest

AI Engineering · Machine Learning · Generative AI · NLP · RAG · AI Agents · Backend Engineering · Distributed Systems · System Design · Cloud Computing


🤝 Let's Connect

LinkedIn

Building software. Exploring intelligence. Solving real problems.

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  1. ai-synthetic-user-agent ai-synthetic-user-agent Public

    An AI-powered web analytics agent that simulates synthetic user sessions on a Django furniture e-commerce website using Gemini and Playwright to generate realistic browsing behaviour and analytics …

    Python

  2. wildfire-size-prediction-at-ignition wildfire-size-prediction-at-ignition Public

    Using machine learning to analyse historical New Zealand wildfire data, identify factors associated with extreme fire sizes, and explore predicting wildfire severity at ignition.

    Jupyter Notebook

  3. ApnaDoctor-Disease-Prediction-Model ApnaDoctor-Disease-Prediction-Model Public

    A Django-based disease prediction web application that uses machine learning algorithms to predict diseases based on user symptoms and health measurements, including diabetes, heart disease, and br…

    JavaScript 5 4

  4. retail-sales-prediction retail-sales-prediction Public

    Predicting retail product sales using machine learning, with exploratory data analysis, data preprocessing, feature engineering, and comparison of multiple regression models.

    Jupyter Notebook

  5. movie-recommendation-engine movie-recommendation-engine Public

    Content-based movie recommendation engine that suggests similar movies using movie features and user preferences.

    Jupyter Notebook

  6. purchase-prediction-engine purchase-prediction-engine Public

    Regression-based ML pipeline for customer purchase prediction using demographic and product features.

    HTML