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.
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๐ญ 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
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๐ข 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%
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๐ฌ 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
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๐ฑ Currently exploring: Agentic AI, Advanced RAG Systems, Multi-Agent Architectures, and Real-time AI Processing
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๐ฏ Looking to collaborate on: AI Research, Open Source Projects, Healthcare AI, and LLM Applications
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๐ฌ Ask me about: LLMs, RAG Pipelines, Computer Vision, System Architecture, and Production AI Deployment
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โก Fun fact: Cricket enthusiast ๐ and competitive programmer with 200+ problems solved!
๐ Bachelor of Science in Computer Science & Engineering
Daffodil International University (2020 - 2024) | CGPA: 3.74/4.00
๐ Relevant Coursework: Advanced Data Structures, Machine Learning, Computer Vision, Image Processing, Database Systems, Data Mining, Information Retrieval
| Category | Key Skills |
|---|---|
| Programming Languages | Python โข C++ โข Java โข JavaScript โข SQL |
| Backend Development | Django โข FastAPI โข Flask โข RESTful API Design โข Asyncio โข Multithreading โข Redis โข MySQL |
| LLMs & Generative AI | LangChain โข LlamaIndex โข OpenAI (GPT-5/4o/4) โข Gemini Models โข Prompt Engineering โข Multi-agent Systems โข Agentic AI โข Fine-tuning โข JSON-structured Outputs |
| RAG & Vector Databases | Advanced RAG Pipelines โข Embeddings โข Document Loaders โข Chunking Strategies โข FAISS โข Chroma โข Pinecone โข Weaviate โข Semantic Search |
| ML & Deep Learning | TensorFlow โข PyTorch โข Scikit-learn โข Keras โข NumPy โข Pandas โข Transfer Learning โข Model Optimization |
| Computer Vision | YOLOv8 โข OpenCV โข Image Segmentation โข Object Detection โข Medical Imaging โข OCR |
| NLP | BERT โข Transformers โข Text Classification โข Sentiment Analysis โข Bengali NLP โข NLP Pipelines |
| Cloud & DevOps | AWS EC2 โข Docker โข Git/GitHub โข CI/CD โข Logging & Observability |
| Development Tools | GitHub Copilot โข Cursor โข VS Code โข Jupyter โข Postman |
- ๐ 500+ Problems Solved across multiple platforms
- ๐ฏ Languages: C++, Python, Java for competitive programming
- ๐งฎ Focus Areas: Data Structures, Algorithms, Dynamic Programming, Graph Theory
- ๐ Active Participation in coding contests and challenges
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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} -
NewsNet: A Comprehensive Neural Network Hybrid Model for Efficient Bangla News Categorization
Shakil Rana, Md. Injamul Haque, Naznin Sultana, Saiful Islam, โฆ
Conference Paper โ Jun 2024.
View on ResearchGate. :contentReference[oaicite:1]{index=1} -
Integrating Explainable AI and Machine Learning for Superior Brain Tumor MRI Classification
Md. Injamul Haque, Shakil Rana, Saiful Islam, โฆ
Research โ Sep 2025.
View on ResearchGate. :contentReference[oaicite:2]{index=2} -
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, โฆ
Conference Paper โ Jun 2024.
View on ResearchGate. :contentReference[oaicite:3]{index=3} -
Impact of Lifestyle on Career: A Review
Md Jabed Hosen, Md. Injamul Haque, Saiful Islam, Ahmed Wasif Reza, โฆ
Chapter โ Dec 2023.
View on ResearchGate. :contentReference[oaicite:4]{index=4}
- Medical AI and Healthcare Informatics
- Graph Neural Networks for Healthcare
- Bengali Natural Language Processing
- Computer Vision in Medical Imaging
- Reinforcement Learning
๐ง Email: injamulhaque9117@gmail.com
๐ฑ Phone: +88-01745-449117
๐ Location: Dhaka, Bangladesh
๐ Actively seeking Masterโs 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!" ๐


