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ment0z/README.md

Hi ๐Ÿ‘‹, It's me MRU (Madan Raj Upadhyay)


๐Ÿง  About Me

Iโ€™m a research-oriented developer exploring Artificial Intelligence, Machine Learning, and LLM systems with a strong focus on practical, real-world deployment.

My work lies at the intersection of:

  • ๐Ÿ”ฌ AI Research & Experimentation
  • โš™๏ธ Efficient model design (small models, CPU-friendly)
  • ๐Ÿ“ฑ AI-powered applications (Android + Edge AI)
  • ๐Ÿ—„๏ธ Backend & Data Handling

I enjoy breaking systems, fixing flaws, and building better solutions through research-driven development.


๐Ÿ”ฌ Research Interests

  • ๐Ÿค– Large Language Models (LLMs)
  • ๐Ÿง  Model Compression & Fine-Tuning
  • ๐Ÿ“‰ Low-resource & CPU-based AI
  • ๐Ÿ” AI for Business Automation
  • ๐Ÿ“Š Data Analysis & Pattern Mining
  • ๐Ÿงช Experimental AI Prototypes

๐Ÿ› ๏ธ Tech Stack

Languages & Core:
Python C++ Kotlin Java

AI / ML:
PyTorch TensorFlow Scikit-Learn HuggingFace ONNX

Systems & Tools:
Android SDK SQL Firebase Linux Git SpringBoot


๐Ÿงช Research & AI Projects

๐Ÿ”น LLM Optimization Experiments

  • Fine-tuning small language models for task-specific reasoning
  • CPU-only inference & latency reduction
  • Prompt-engineering vs fine-tuning comparisons

๐Ÿ”น AI-Powered Business Systems

  • Inventory & billing systems enhanced with AI insights
  • Offline-first AI decision support
  • Data-driven automation tools

๐Ÿ”น Experimental Prototypes

  • Lightweight AI agents
  • Domain-specific mini-models
  • AI + Mobile hybrid applications

๐Ÿ‘‰ Most projects are experimental, iterative, and research-driven.


๐Ÿ“Š GitHub Analytics


๐Ÿงฌ Research Mindset

โ€œBuild โ†’ Measure โ†’ Break โ†’ Improveโ€
I treat every project as an experiment, prioritizing:

  • Reproducibility
  • Performance metrics
  • Real-world constraints

๐ŸŒ Connect & Collaborate

  • ๐Ÿค Open to AI research collaboration
  • ๐Ÿ“ง Email: your email
  • ๐Ÿ’ผ LinkedIn: your LinkedIn

โญ If my work interests you, feel free to explore or collaborate.

Pinned Loading

  1. MindMaster MindMaster Public

    MindMaster is your virtual study environment which will provide dynamic content delivery with respect to your emotion.

    JavaScript 1

  2. Vehicle-Cut-in-Detection Vehicle-Cut-in-Detection Public

    This project utilizes the YOLO (You Only Look Once) object detection model and SORT (Simple Online and Realtime Tracking) to detect and track vehicles in a video stream to detect the vehicle suddenโ€ฆ

    Jupyter Notebook 2

  3. IMS IMS Public

    IMS is a complete, offline-first Inventory Management System Android application designed for retailers, wholesalers, and small-to-medium businesses. It manages stock, purchases, sales, customers, โ€ฆ

    Kotlin 1

  4. Visitor-Management-System- Visitor-Management-System- Public

    This backend powers the Visitor Management System, providing secure authentication, visitor approvals, and real-time tracking. Built with Spring Boot, it follows Microservices Architecture with APIโ€ฆ

    Java

  5. Smart-Pothole-Detection-ML Smart-Pothole-Detection-ML Public

    This project is OpenVINO integrated AIOT project which detects Pothole by photo,liveCam,videos

  6. Subject-Segmentation-Android-App Subject-Segmentation-Android-App Public

    This project demonstrates an efficient image subject segmentation Android application built with Jetpack Compose.

    Kotlin 1