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Develop a fully automated Machine Learning pipeline using CI/CD. Train, Test, Monitor, and Update the ML system automatically according to its metrics. Integrate or Develop an Intelligent ML System into the system for better ROI, efficient resource utilization, better user experience, and predict organization's future operations.

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About me

Professional AI/ML Solution

As a professional AI and ML Engineer, I specialize in developing and deployingMachine Learning Models and AI Solutions that drive business value. With a strong foundation in Data Science, I leverage advanced algorithms and techniques to extract insights from data, automate processes, and create intelligent systems. My expertise includes MLOps, ensuring seamless integration and continuous delivery of ML models, as well as scalable and secure API Development for AI/ML Applications. I am dedicated to delivering innovative solutions that enhance operational efficiency and support Data-Driven Decision-Making.

MLOps

Data Science

AI Development

AI/ML Integration

API Development

Data Analysis

Skills & Tools

  • AI & Machine Learning: Deep Learning, NLP, Statistical Modeling
  • Modeling Techniques: RNNs, Transformers (BERT, GPT), LSTM, GRU
  • Languages & Libraries: Python (PyTorch, TensorFlow, Keras, Scikit-learn), SQL
  • Data Processing: Pandas, NumPy, ETL, Web Scraping, Data Cleaning & Preprocessing
  • Visualization: Matplotlib, Seaborn, Plotly, Power BI, Tableau
  • NLP Capabilities: Text Classification, Named Entity Recognition, Sentiment Analysis, Embedding Techniques (Word2Vec, GloVe, FastText)
  • API Development: REST, Flask, FastAPI
  • Frontend Development: React, TypeScript, Next.js, HTML, CSS
Python

Python

ETL

ETL

Tensorflow

Tensorflow

Git

Git

Docker

Docker

FastAPI

FastAPI

AWS

AWS

DVC

DVC

CI/CD

CI/CD

TypeScript

TypeScript

JavaScript

JavaScript

Next.js

Next.js

SQL

SQL

Recent Works

My Best Projects

Unintended Bias in Toxicity Classification

Unintended Bias in Toxicity Classification

This project aims to solve the Jigsaw Unintended Bias in Toxicity Classification problem from a Kaggle competition hosted by Jigsaw and Google's Conversation AI team. The objective is to build machine learning models that can detect toxicity in online conversations while minimizing unintended bias, particularly regarding identity terms.

NLP

LSTM

Keras

Pytorch

ML Project to Demonstrate Ci/Cd Model

ML Project to Demonstrate Ci/Cd Model

Simple ML project in using CI/CD pipeline. Fully project implementation is more focused than ML model development.

Github Action

python

Tensorflow

IBM Capstone Project: Stack Overflow Job Survey

IBM Capstone Project: Stack Overflow Job Survey

Analyzed developer trends and predicted future trends using Python, SQL, Cognos and looker. Results in PowerPoint and Jupyter Notebook

Cogno

PowerBI

Looker

SQL

Get in Touch

Lets make your Brand brilliant

Experienced MLOps Engineer skilled in deploying and maintaining machine learning models, ensuring scalability, and optimizing workflows.

+8801571337605

lutfulkabir1757@email.com

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