Machine Learning Engineer with expertise in Python, MySQL, JAVA, web development and much more. I thrive on tackling complex data challenges and creating streamlined solutions. I’m driven by a deep curiosity and a commitment to using data to drive impactful change.
WHAT I HAVE DONE SO FAR
Work Experiences.
WHERE I HAVE GAINED MY KNOWLEDGE.
Educations.
PyNetLabs
CCNA
July 2025 - September 2025
KodeKloud
DevOps
Invalid DateTime - Present
Jamia Hamdard University
IT and Technology
October 2022 - June 2025
TrainWithShubham
DevOps Engineering
January 2025 - April 2025
Specializations:
Linux
Kubernetes
Dockers
Terraform
WHAT I HAVE CREATED AND BUILT.
Projects.
Data Visualization Pipeline With LLMs
his project is a Streamlit app that allows users to upload a CSV or Excel file, ask questions about their data, and generate visualizations using an LLM. Due to OpenAI quota limits, the app currently uses mocked responses, but it is designed to work with an LLM (e.g., OpenAI's GPT-3.5-turbo) once the quota resets.
Machine Learning
Python
Data Science
Git
Crowd Detection System
About
Crowd detection project using YOLOv11 to identify groups of people in a video feed.
Machine Learning
Python
Data Analysis
Git
Fraud Detection Model
This project focuses on building a machine learning model to detect fraudulent transactions in financial datasets. Using a dataset containing over 6 million transactions, the project identifies and flags potential fraud by analyzing transaction patterns and customer behavior.
python
data analysis
machine learning
Stock Price Prediction Application using ML
AI Stock Predictor Pro is a lightweight, interactive tool for stock price prediction and forecasting using historical stock data. Built with Streamlit, it offers real-time visualizations, forecasting with confidence intervals, and downloadable reports — all in your browser.
python
machine learning
data analysis
artificial intelligence
AI Property Analytical Agent
A robust and intelligent platform for analyzing **industrial properties** and discovering comparable assets across Cook County, Dallas County, and Los Angeles County.
python
flask
streamlit
machine learning
keras
javascript
css
Coreference Resolution System
This project implements a high-performance coreference resolution system using modern NLP tools such as **spaCy**, **Transformers**, and **FastAPI**, with a simple **Streamlit** interface for demos and testing
python
machine learning
Fast API
streamlit
machine learning
NLP
EduChain MCP Server
The EduChain MCP Server is a Python project integrating the EduChain library with the Model Context Protocol (MCP) to create an educational content generation server for Claude Desktop.
python
machine learning
gen ai
langchain
MCP
Customer Support RAG Chatbot
This project is a Retrieval-Augmented Generation (RAG)-based chatbot designed to handle customer support queries using a hybrid approach
data science
machine learning
python
RAG
Langchain
FAISS
AI Instagram Analytical Agent
An AI-powered Instagram performance analysis tool built with **Python**, **Streamlit**, **LangChain**, and **LangGraph**. This advanced multi-agent system provides comprehensive insights, recommendations, and strategic guidance for Instagram growth.
python
AI
Machine Learning
Streamlit
Langchain
Langgraph
Sales Forecast Predictive Web App
A user-friendly Streamlit app that predicts sales using machine learning models trained on historical data. This app is designed to provide businesses with actionable insights to optimize inventory and marketing strategies.
python
Vision Assist
real time object detection with audio feedback assisting visually impaired people.
python
machine learning
data science
Recommendation System Movie Based for E - Commerce
This recommendation system demonstrates collaborative filtering techniques using the MovieLens dataset. While built using movie ratings, the system's architecture can be adapted for any e-commerce platform to provide personalized product recommendations to users.
python
machine learning
Churn Prediction System for Customers
This project implements a machine learning system to predict customer churn for telecom services. It analyzes customer behavior patterns and identifies key factors that contribute to customer churn, helping businesses take proactive measures to retain customers.