Hi, I'm Shayan

Machine Learning Engineer & Data Science Enthusiast

Final year B.Tech CSE student passionate about Data Science, Machine Learning, and Generative AI. Exploring Machine Learning and Generative AI to build smarter solutions.

View My Work Download Resume
Profile Picture

About Me

Get to know me better

I'm Mohammed Shayanulhaque (Shayan), a final year B.Tech Computer Science student with a deep passion for Data Science, Machine Learning, and Generative AI. I specialize in transforming complex data into actionable insights and building intelligent solutions using Python, TensorFlow, and PyTorch.

Currently exploring the fascinating world of Generative AI while continuously sharpening my problem-solving skills through competitive programming on platforms like LeetCode and Codeforces. I'm always eager to learn new technologies, contribute to open source projects, and collaborate on innovative AI/ML solutions that create real-world impact.

B.Tech Computer Science Engineering
Competitive Programming Enthusiast
AI/ML Solutions Developer

Experience

Machine Learning Intern
TechnoCollabs Software
August 2025 - Present
  • Working as Machine Learning Intern, applying advanced ML techniques to real-world business challenges
  • Developing and implementing machine learning solutions using Python and industry-standard frameworks
  • Collaborating with cross-functional teams to deliver data-driven insights and predictive models
  • Contributing to production-ready ML pipelines and model deployment strategies
Python Machine Learning Data Science MLOps
Project Intern
Physics Wallah
July 2025 - August 2025
  • Built a production-ready Forest Cover Type Prediction project using machine learning algorithms
  • Developed end-to-end ML pipeline including data preprocessing, model training, validation, and deployment
  • Implemented model registry and verification scripts for robust model management
  • Created comprehensive model artifact management system ensuring scalability and maintainability
  • Gained hands-on experience in translating business requirements into technical ML solutions
Python ML Pipeline Model Deployment Production ML Docker

Skills & Technologies

Technologies I work with

Programming Languages

Python

Python

Java

Java

JavaScript

JavaScript

Data Science & ML

NumPy

NumPy

Pandas

Pandas

Scikit-learn

Scikit-Learn

TensorFlow

TensorFlow

Visualization & Analysis

Matplotlib

Matplotlib

Seaborn

Seaborn

Power BI

Power BI

Cloud & Databases

AWS

AWS

SQL

SQL

MongoDB

MongoDB

AI & NLP

LangChain

LangChain

Hugging Face

Hugging Face

NLTK

NLTK

Web Development & Tools

Flask

Flask

Git

Git/GitHub

MLOps

MLOps

HTML5

HTML5

CSS3

CSS3

Featured Projects

Some of my recent work

AGRI-TECH Project

AGRI-TECH - Smart Agricultural Recommendation System

AGRI-TECH is an intelligent agricultural recommendation system that leverages machine learning to provide farmers with data-driven insights for optimal crop selection and fertilizer recommendations. Built with Flask and scikit-learn, this system analyzes soil conditions, weather parameters, and environmental factors to suggest the most suitable crops and fertilizers for maximum yield.

Flask Python Werkzeug scikit-learn numpy pandas joblib gunicorn matplotlib seaborn itsdangerous Jinja2 MarkupSafe click pytest pytest-flask
DocuQuery Project

DocuQuery: Local Document Q&A with RAG

DocuQuery is a full-stack web application that allows you to ask questions about your own documents (.pdf, .docx, .txt) and get answers from a locally-run AI model. It uses a Retrieval-Augmented Generation (RAG) pipeline to ensure answers are based only on the content of your uploaded file, guaranteeing data privacy.

Python Flask Flask Werkzeug scikit-learn numpy pandas joblib gunicorn matplotlib seaborn itsdangerous Jinja2 MarkupSafe click pytest pytest-flask
GreenCanopy AI Project

GreenCanopy AI

ML app that predicts forest cover types from environmental data using Random Forest & XGBoost. Built with FastAPI backend, deployed via Docker on Render.com, and uses MongoDB Atlas & AWS S3 for storage. Helps optimize forest management with fast, accurate predictions.

Python ML MongoDB AWS S3 Docker dill dnspython evidently fastapi from-root httptools imblearn python-dotenv uvicorn xgboost pymongo boto3 botocore-stubs mypy-boto3-s3 types-s3transfer jinja2 neuro-mf pip-chill watchfiles websockets wincertstore python-multipart
Portfolio Project

Personal Portfolio

A modern, animated portfolio website showcasing creative design with smooth scrolling, parallax effects, and optimized performance.

HTML5 CSS JavaScript

Get In Touch

Let's work together

Email

shayaanansari80@gmail.com

Phone

+91 9171518166

Location

Jabalpur, Madhya Pradesh, India