Hi, I'm Milan Dangi

A passionate Machine Learning Engineer with expertise in developing intelligent solutions that transform data into actionable insights. Specialized in end-to-end ML pipelines, deep learning architectures, and scalable AI systems.

Milan Dangi - ML Engineer

Technical Expertise

Programming Languages

Python MySQL SQLite SQL

ML/AI Frameworks

TensorFlow Scikit-learn NumPy Pandas

Visualization & Web

Matplotlib Seaborn Flask Streamlit

DevOps & Cloud

Git GitHub Docker AWS OpenCV

Specializations

Machine Learning Deep Learning NLP MLOps

Featured Projects

Network Security

Python • Scikit-learn • Flask • Docker • AWS • Github Action

  • Developed an end-to-end pipeline for phishing detection, from data ingestion to model training and deployment
  • Implemented and fine-tuned machine learning models (Random Forest, AdaBoost, Gradient Boosting) for optimal performance
  • Deployed the model via FastAPI and set up CI/CD using GitHub Actions, Docker, and AWS EC2.
  • Integrated logging and error handling for seamless monitoring, debugging, and pipeline management
View Code

Student Performance Analysis

Python • Scikit-learn • Flask • Docker • AWS

  • Built comprehensive ML pipeline for student performance prediction
  • Implemented advanced EDA and feature engineering techniques
  • Deployed scalable web application using Docker containers
  • Integrated automated model selection and hyperparameter tuning
  • Implemented robust logging and monitoring systems
View Code

Emotion-Based Music Recommender

TensorFlow • OpenCV • Streamlit • Spotify API

  • Developed CNN model for real-time facial emotion recognition
  • Integrated Spotify API for personalized music recommendations
  • Built responsive web interface with live camera integration
  • Optimized model performance for real-time inference
View Code

AI Medical Diagnosis System

Python • Multiple ML Algorithms • Flask

  • Achieved 99% accuracy using ensemble learning methods
  • Implemented intelligent symptom-to-disease mapping
  • Created comprehensive treatment recommendation engine
  • Integrated with flask framework for visual interface
View Code

Intelligent Movie Recommender

Python • Content-Based Filtering • Streamlit

  • Built sophisticated content-based filtering system
  • Implemented advanced similarity algorithms
  • Created intuitive user interface with advanced search functionality
  • Optimized recommendation algorithms for better user experience
View Code

Education & Qualifications

Bachelor of Science in Computer Science

Tribhuvan University, IOST

Expected 2025 • Expected: 82%

Strong foundation in Machine Learning, Data Structures, and Software Engineering

High School Education

Gorkha Secondary School, Dang

2018-2020 • GPA: 3.45

Strong foundation in Mathematics, Science, and Computer Applications