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TamimHq/README.md

πŸ‘‹ Hi, I'm Md Tamim Haque

πŸŽ“ CSE Graduate | πŸ’Ό Jr. MIS Officer | πŸ€– AI & Data Enthusiast

πŸ“ Narayanganj, Bangladesh
πŸ“§ tamimhaque13@gmail.com
πŸ”— LinkedIn
πŸ’» GitHub


πŸš€ About Me

I am a Computer Science graduate currently working as a Jr. MIS Officer at Fakir Knitwear Ltd., where I contribute to building data-driven solutions in a large-scale manufacturing environment.

I specialize in data analysis, automation, and backend systems, and I am actively expanding my expertise in Artificial Intelligence and Computer Vision.

I am passionate about developing intelligent systems that combine real-world applications with data-driven insights.


πŸ’Ό Professional Experience

🏒 Jr. MIS Officer β€” Fakir Knitwear Ltd.

πŸ“… Mar 2025 – Present

  • Designed and maintained MIS-based data workflows for production and administrative systems
  • Automated reporting using Excel (Pivot Tables, advanced formulas) β†’ reduced manual work by 25%
  • Performed data cleaning, validation, and consolidation across multiple systems
  • Worked with cross-functional teams to improve data-driven decision making
  • Gained hands-on experience in enterprise IT systems and process optimization

🧠 Technical Skills

πŸ’» Programming & Development

  • Python, PHP, JavaScript, HTML, CSS
  • Laravel, Flutter

πŸ€– AI & Computer Vision

  • OpenCV
  • YOLO (Object Detection)
  • CNN (Deep Learning)

πŸ—„οΈ Databases

  • Oracle ORDBMS
  • MongoDB

☁️ Tools & Platforms

  • AWS (Cloud Foundations Certified)
  • WAMP / XAMPP

πŸ“Š Data & Visualization

  • Microsoft Excel (Advanced)
  • Power BI

πŸš€ Projects

πŸ”Ή Object Detection and Tracking in Video Streams

  • Real-time object detection using YOLO and OpenCV
  • Video processing and object counting

πŸ”Ή AI vs Real Image Classification

  • Developed a deep learning model to classify real vs AI-generated images using the CIFAKE dataset
  • Implemented a custom CNN (baseline) and EfficientNetB0 (transfer learning) for performance comparison
  • Applied image preprocessing, normalization, and data augmentation techniques to improve generalization
  • Evaluated models using accuracy and classification metrics to identify the best-performing architecture

πŸ”Ή Retrieval-Augmented Generation (RAG) Pipeline

  • Built an end-to-end RAG pipeline for intelligent question answering over custom documents
  • Implemented document ingestion, text chunking, and embedding generation using transformer-based models
  • Integrated vector database retrieval to fetch relevant context for user queries
  • Combined retrieval with LLM generation to produce context-aware and accurate responses
  • Designed modular architecture for scalability and real-world applications like chatbots and knowledge assistants

πŸ“œ Certifications

  • 🟒 AWS Academy Graduate – Cloud Foundations
  • 🟒 Advanced Database Practice (Oracle ORDBMS & MongoDB)

🎯 Career Goals

  • Pursue a Master’s in Computer Science (AI / Data Science focus)
  • Build scalable AI-powered systems
  • Work in Computer Vision & Intelligent Automation

πŸ“ˆ Currently Working On

  • Enhancing AI-based projects (YOLO + OCR integration)
  • Building real-world data dashboards
  • Strengthening full-stack + cloud integration skills

🀝 Let's Connect

I am always open to:

  • Collaboration on AI/Data projects
  • Internship / research opportunities
  • Tech discussions

πŸ“© Feel free to reach out!

Pinned Loading

  1. mini-job-portal-flutter mini-job-portal-flutter Public

    A Flutter-based Mini Job Portal App with Email Authentication, REST API Integration, Riverpod State Management, and SQLite Local Storage.

    C++

  2. RagPipeLine RagPipeLine Public

    Multilingual RAG pipeline for Bengali PDF question answering using OCR, LaBSE embeddings, ChromaDB, BM25, and Gemini LLM.

    Jupyter Notebook

  3. Simple_Flutter_Weather_App Simple_Flutter_Weather_App Public

    Dart

  4. AI-VS-Real-Image-Classification AI-VS-Real-Image-Classification Public

    Deep learning project comparing CNN and EfficientNet for real vs AI-generated image classification using the CIFAKE dataset

    Jupyter Notebook

  5. Task-Management-Application Task-Management-Application Public

    Kotlin

  6. Object-Detection-and-Tracking-in-Video-Streams Object-Detection-and-Tracking-in-Video-Streams Public

    YOLO11-based object detection and tracking pipeline for video with ROI counting and CSV export

    Jupyter Notebook