I'm an AI/ML Engineer and Full Stack Developer who builds intelligent products, modern web applications, and scalable systems with a focus on performance, usability, and clean design.
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I'm Munshif Muhajireen, an AI/ML Engineer with strong skills in Python, Machine Learning, Deep Learning, Natural Language Processing, and Generative AI. I specialize in building intelligent systems including churn prediction models, time series forecasting with LSTMs, semantic analysis systems, RAG-powered chatbots, and unsupervised learning pipelines.
Offering development services in AI solutions, Machine Learning systems, and modern Software applications.
Designed and developed a professional corporate website for Narita Pvt Ltd. Created a modern, responsive design with smooth animations and intuitive navigation. Implemented clean UI/UX principles with a focus on brand identity and user experience.
Engineered and evaluated multiple classification models including Random Forest and Logistic Regression to predict customer attrition with 79% accuracy. Applied GridSearchCV to fine-tune model parameters. Performed Exploratory Data Analysis on 7,000+ customer records to identify churn drivers. Built and deployed a Streamlit churn-prediction application on Hugging Face Spaces for interactive model exploration.
Developed stacked LSTM neural network for cryptocurrency forecasting. Trained on 15 years of historical Bitcoin data with 100-day sliding windows. Implemented recursive multi-step-ahead forecasting for 10-day projections. Deployed on Hugging Face Spaces with interactive Streamlit interface.
Built a semantic contradiction detection system to identify inconsistent statements in product reviews. Implemented Natural Language Inference (NLI) to compare sentence pairs and classify agreement vs. contradiction. Designed a scoring mechanism that outputs contradiction probability and interpretable explanations.
Architected Retrieval-Augmented Generation system for medical Q&A. Integrated Pinecone vector database for efficient semantic search. Leveraged LangChain for orchestrating retrieval and generation pipeline. Deployed on AWS with CI/CD pipeline for automated deployment.
Engineered end-to-end unsupervised learning pipeline by web-scraping 50,000+ book records. Implemented K-Means clustering with TF-IDF vectorization for automatic genre categorization. Deployed production-ready Flask API with real-time prediction capabilities. Conducted PCA-based exploratory analysis for cluster validation.
Designed end-to-end analytics solution with Python ETL pipeline. Engineered automated workflows for customer segmentation analysis. Developed interactive dashboards with KPIs for executive insights. Integrated MySQL database with Power BI for real-time visualization.
Built real-time computer vision application with OpenCV. Implemented Haar Cascade classifier for face detection. Created interactive Pygame interface with live video processing. Optimized for real-time performance with frame rate monitoring.
"Munshif is a highly skilled AI/ML engineer with exceptional problem-solving abilities. His work on our Narita Pvt Ltd website project demonstrated not only technical excellence but also a deep understanding of modern web standards and user experience. A true professional who delivers beyond expectations."
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision. Feel free to reach out through any of these channels.
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