AI Engineer @QualFix || MLOps || Data Scientist || Deep Learning & NLP || GenAI || IBM Data Analyst Specialist || SQL certificated

I operate as a multidisciplinary AI Engineer, Data Scientist, and Data Analyst, specializing in the entire ML lifecycle—from data query to model deployment.My core expertise lies in Deep Learning, NLP, and GenAI. I build and operationalize scalable AI solutions using robust MLOps principles.Certified in SQL and Data Analysis, I master the foundational steps of extracting, cleaning, and interpreting data. I leverage my advanced ML with Python certification to develop and deploy high-performance predictive models, turning complex information into clear, strategic insights.Passionate about driving innovation and tangible business value through responsible AI implementation.

• 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)

• Languages: Python, SQL, Java, C++, C#
• Libraries/Frameworks: PyTorch, TensorFlow, Keras, Hugging Face Transformers, NLTK, Spacy, Scikit-learn, Pandas, NumPy
• Cloud & MLOps: Docker, Git, MLflow, Jupyter Notebooks, VS Code
• Databases: MySQL, PostgreSQL
• Visualization & Reporting: Power BI, Tableau, Google Looker, IBM Cognos, Dash

• Unintended Bias in Toxicity Classification Link

  • 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 with regard to identity terms.

• AI Powered job board Link

  • Developed a full-stack job board using Next.js 15, Drizzle ORM (PostgreSQL), and Clerk for advanced authentication/billing.
  • Integrated AI Applicant Ranking functionality to rate candidate fit against job descriptions.
  • Utilized MLOps concepts (Inngest) for background job processing, handling webhooks, and scheduling AI-driven email notifications.

• IBM Capstone Project: Stack Overflow Job Survey Link

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

• BSc in Computer Science and Engineering

  • American International University, Bangladesh
  • Pursuing core skills in AI and Data Science through coursework, projects, and hands-on experience in database systems, machine learning, and NLP.

• IBM Data Analyst Professional Certificate

  • Completed May 2024
  • Comprehensive training in data analysis with Excel, SQL, and Python, covering data visualization, ETL, and creating interactive dashboards.
  • Credentials 1 credentials 2
    

• Email: lutfulkabir1757@gmail.com
• LinkedIn: Md. Lutful Kabir

Looking forward to connecting and collaborating on AI, deep learning, or NLP projects!

Happy coding! 😊