Biography

Md Shariar Hossain received his Bachelor of Science (B.Sc.) with first-class honors in Computer Science and Telecommunication Engineering (CSTE) from Noakhali Science and Technology University, Shonapur, Noakhali, Chittagong, Bangladesh.

  • Professional Expertise: Worked as a Machine Learning Engineer and is a passionate ML enthusiast with a focus on Artificial Intelligence (AI), Deep Learning, Generative AI, and Software Engineering.
  • Core Competencies: Skilled in Software Development, Natural Language Processing (NLP), Computer Vision (CV), Generative AI, Transformers, and Large Language Models (LLMs).
  • Research and Publications: Published multiple research publications and the undergraduate thesis in a prestigious conference, showcasing a strong foundation in research and academic writing. (Please check the Publications section)
  • Technical Proficiencies: Proficient in:
    • Programming languages: Python, Java (Android development), .Net Core with C#
    • Frameworks: Langchain, Fast API, TensorFlow, PyTorch
  • Career Objective: Aims to contribute to cutting-edge advancements in AI-based applications with a special focus on Generative AI.
  • Industry and Academic Aspirations:
    • Seeking opportunities to deepen expertise through research and academic endeavors or industry-focused roles.
    • Focused on applying deep learning and machine learning techniques to real-world challenges, including:
      • LLM based Retrieval Augmented Generation (RAG) and Catbot
      • Generative AI with LLM and Vision model
      • Image and Video Classification, Segmentation, and Detection
      • Smart healthcare and disease prediction
      • Malware detection
      • Blockchain analysis
  • Vision for Collaboration: Aspires to collaborate with industry leaders and esteemed researchers to publish innovative work in renowned journals and conferences.
  • Commitment to Learning: Dedicated to staying updated with the latest advancements in AI, participating in conferences, and shaping the future of Deep Learning, NLP, and Computer Vision algorithms.
  • Ultimate Goal: To drive progress in Artificial Intelligence, Collaborative AI, and Software Development, leveraging these technologies for societal betterment.

Fields of Expertise

Machine Learning and Deep Learning

I worked with different classification and Regression algorithms of Machine Learning such as Naive Bayes classifier, Decision Tree, Random Forest, Linear Regression, Logistic Regression, K-nearest neighbors (KNN). I also worked different Deep learning algorithms from the very basic neural network like ANN, RNN, CNN to advance algorithms, such as ANN, RNN, CNN, LSTM, Transformers.

Generative AI

I have significant experience in Generative AI, focusing on Large Language Models (LLMs) and their applications in Retrieval-Augmented Generation (RAG), chatbots, and content creation. My expertise spans advanced models like Transformers, Diffusion Models, and frameworks for developing conversational AI and interactive systems. I am dedicated to leveraging these technologies to build innovative solutions, including context-aware chatbots and generative systems that address real-world challenges.

Software Development

I have to work on some development framework as well such as Fast API, Flask, Celery, Django(Python), .Net core(C#), Android (Java) to apply the trained AI model on the real life software.

Problem Solving

From my undergraduate life, I participated many onsite and online programming contest and online judge. I took session of many students on problem solving and contest programming. I was also a problem setter and judge in many programming contest during my student life.