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injamul3798/README.md

Hi there, I'm Injamul! ๐Ÿ‘‹

Typing SVG

๐Ÿš€ About Me

I'm an AI Engineer specializing in LLM applications, Computer Vision, and Natural Language Processing, with strong expertise in building production-grade AI systems and scalable backend solutions.

  • ๐Ÿ”ญ Currently working at Interactive Cares as AI Engineer

    • Engineered multi-agent AI interview system supporting 500+ concurrent sessions using GPT-5, GPT-4o-mini, and Gemini 2.5 Flash with ~60% cost optimization
    • Built enterprise chatbot using LangChain, Redis caching, and async processing - achieving ~45% response time reduction and ~35% throughput improvement
    • Optimized STT/TTS pipelines (Faster-Whisper, Google TTS) reducing latency from ~2s to <200ms
    • Developed production-grade systems with CI/CD automation and secure coding practices
  • ๐Ÿข Previously at DevTechGuru Limited (Jan 2024 - Jul 2025)

    • Developed AI-assisted Hip Surgery system integrating with hospital C-ARM, reducing pre-operative planning time by ~30%
    • Engineered vehicle number plate detection system using YOLOv8 achieving 93% accuracy from live CCTV feeds
    • Built Django-based parking management system with AI modules, REST APIs, and Redis caching - reducing API calls by ~40% and improving data retrieval by ~30%
    • Implemented role-based access control system reducing unauthorized access by ~35%
  • ๐Ÿ”ฌ ML Research Experience at Health Informatics Research Lab, DIU

    • Published research on CNN+RNN hybrid model for Bangla news categorization achieving 94.57% accuracy
    • Developed RGBNet (Graph Neural Network) for gallbladder cancer detection with 93%+ accuracy - published in Q1 journal (Results in Engineering, Mar 2025)
    • Contributed to medical AI research focusing on deep learning, NLP, and computer vision applications
  • ๐ŸŒฑ Currently exploring: Agentic AI, Advanced RAG Systems, Multi-Agent Architectures, and Real-time AI Processing

  • ๐Ÿ‘ฏ Looking to collaborate on: AI Research, Open Source Projects, Healthcare AI, and LLM Applications

  • ๐Ÿ’ฌ Ask me about: LLMs, RAG Pipelines, Computer Vision, System Architecture, and Production AI Deployment

  • โšก Fun fact: Cricket enthusiast ๐Ÿ and competitive programmer with 200+ problems solved!


๐ŸŽ“ Educational Background

๐ŸŽ“ Bachelor of Science in Computer Science & Engineering
Daffodil International University (2020 - 2024) | CGPA: 3.74/4.00

๐Ÿ“š Relevant Coursework: Advanced Data Structures, Machine Learning, Computer Vision, Image Processing, Database Systems, Data Mining, Information Retrieval


๐Ÿ› ๏ธ Technical Arsenal

Category Key Skills
Programming Languages Python โ€ข C++ โ€ข Java โ€ข JavaScript โ€ข SQL
Backend Development Django โ€ข FastAPI โ€ข Flask โ€ข RESTful API Design โ€ข Asyncio โ€ข Multithreading โ€ข Redis โ€ข MySQL
LLMs & Generative AI LangChain โ€ข LlamaIndex โ€ข OpenAI (GPT-5/4o/4) โ€ข Gemini Models โ€ข Prompt Engineering โ€ข Multi-agent Systems โ€ข Agentic AI โ€ข Fine-tuning โ€ข JSON-structured Outputs
RAG & Vector Databases Advanced RAG Pipelines โ€ข Embeddings โ€ข Document Loaders โ€ข Chunking Strategies โ€ข FAISS โ€ข Chroma โ€ข Pinecone โ€ข Weaviate โ€ข Semantic Search
ML & Deep Learning TensorFlow โ€ข PyTorch โ€ข Scikit-learn โ€ข Keras โ€ข NumPy โ€ข Pandas โ€ข Transfer Learning โ€ข Model Optimization
Computer Vision YOLOv8 โ€ข OpenCV โ€ข Image Segmentation โ€ข Object Detection โ€ข Medical Imaging โ€ข OCR
NLP BERT โ€ข Transformers โ€ข Text Classification โ€ข Sentiment Analysis โ€ข Bengali NLP โ€ข NLP Pipelines
Cloud & DevOps AWS EC2 โ€ข Docker โ€ข Git/GitHub โ€ข CI/CD โ€ข Logging & Observability
Development Tools GitHub Copilot โ€ข Cursor โ€ข VS Code โ€ข Jupyter โ€ข Postman

๐Ÿ† Competitive Programming & Achievements

๐Ÿ’ป Coding Platforms

HackerRank CodeChef

  • ๐Ÿ… 500+ Problems Solved across multiple platforms
  • ๐ŸŽฏ Languages: C++, Python, Java for competitive programming
  • ๐Ÿงฎ Focus Areas: Data Structures, Algorithms, Dynamic Programming, Graph Theory
  • ๐Ÿ† Active Participation in coding contests and challenges

๐Ÿ“œ Research & Publications

๐Ÿ“ Published Papers

๐Ÿ“„ Publications

  1. A region-of-interest embedded graph neural architecture for gallbladder cancer detection
    S. Islam, Md. Injamul Haque, Mushrat Jahan, Md. Zahid Hasan, Md. Awlad Hossen Rony, Kaniz Fatema, Taslima Ferdaus Shuva, Muhammad Ali Abdullah Almoyad, Abdullah Al-Mamun Bulbul, Md. Tanvir Rahman, Md Whaiduzzaman, Touhid Bhuiyan, Mohammad Ali Moni
    Results in Engineering, 26 (2025) 104624 โ€” Available online 14 Mar 2025.
    View on ResearchGate. :contentReference[oaicite:0]{index=0}

  2. NewsNet: A Comprehensive Neural Network Hybrid Model for Efficient Bangla News Categorization
    Shakil Rana, Md. Injamul Haque, Naznin Sultana, Saiful Islam, โ€ฆ
    Conference Paper โ€” Jun 2024.
    View on ResearchGate. :contentReference[oaicite:1]{index=1}

  3. Integrating Explainable AI and Machine Learning for Superior Brain Tumor MRI Classification
    Md. Injamul Haque, Shakil Rana, Saiful Islam, โ€ฆ
    Research โ€” Sep 2025.
    View on ResearchGate. :contentReference[oaicite:2]{index=2}

  4. An Efficient Framework for Transliteration Sentence Identification of Low Resource Languages Using Hybrid BERT-BiGRU
    Saiful Islam, Md Jabed Hosen, Fowzia Rahman Taznin, Md. Injamul Haque, Shakil Rana, โ€ฆ
    Conference Paper โ€” Jun 2024.
    View on ResearchGate. :contentReference[oaicite:3]{index=3}

  5. Impact of Lifestyle on Career: A Review
    Md Jabed Hosen, Md. Injamul Haque, Saiful Islam, Ahmed Wasif Reza, โ€ฆ
    Chapter โ€” Dec 2023.
    View on ResearchGate. :contentReference[oaicite:4]{index=4}

๐Ÿ”ฌ Research Interests

  • Medical AI and Healthcare Informatics
  • Graph Neural Networks for Healthcare
  • Bengali Natural Language Processing
  • Computer Vision in Medical Imaging
  • Reinforcement Learning

๐Ÿค Let's Connect & Collaborate!

LinkedIn ResearchGate GitHub Email

๐Ÿ“ง Email: injamulhaque9117@gmail.com
๐Ÿ“ฑ Phone: +88-01745-449117
๐Ÿ“ Location: Dhaka, Bangladesh

๐ŸŽ“ Actively seeking Masterโ€™s or PhD opportunities in Computer Science & Artificial Intelligence, passionate about cutting-edge research, innovative AI projects, and advancing next-generation AI technologies.

"Building intelligent systems that make a difference in healthcare, automation, and beyond. Let's create the future together!" ๐Ÿš€

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  1. Agentic-AI-LLM-based-hospital-appointment Agentic-AI-LLM-based-hospital-appointment Public

    A smart hospital management system powered by Google Gemini 2.0 Flash. It features an intelligent chat interface for symptom analysis, doctor recommendations, and appointment booking.

    Python

  2. ai-voice-sales-agent ai-voice-sales-agent Public

    A FastAPI-based voice sales agent for online course sales. Handles dynamic conversations, lead qualification, and objection handling using open-source AI models.

    Python 1

  3. llm-based-proposal-agent-swiftme-mini llm-based-proposal-agent-swiftme-mini Public

    A production-grade FastAPI application that generates personalized freelance proposals using LangChain, RAG (Retrieval-Augmented Generation), and GPT-4o.

    Python

  4. BengaliRAG-QA BengaliRAG-QA Public

    A production-level Retrieval Augmented Generation (RAG) system that handles both English and Bengali queries. The system uses a PDF document corpus as its knowledge base and maintains both short-teโ€ฆ

    Python

  5. AI-LLM-Based-Resume-Matching AI-LLM-Based-Resume-Matching Public

    The Smart ATS project is a web application designed to evaluate resumes against job descriptions using AI. Users can upload a resume (in PDF format) and paste a job description into the interface. โ€ฆ

    HTML

  6. ai_browser_agents ai_browser_agents Public

    This repository demonstrates the creation of simple and autonomous AI-powered web agents that can interact with websites, automate browsing tasks, extract structured data, and perform custom actionโ€ฆ

    Jupyter Notebook