class AIEngineer:
def __init__(self):
self.name = "Nazmul Islam"
self.role = "Junior AI Developer"
self.company = "SM Technology"
self.location = "Dhaka, Bangladesh 🇧🇩"
self.languages = ["Python", "C++", "Java", "JavaScript", "SQL"]
def get_education(self):
return {
"🎓 Masters": "MSc in IT | JU (CGPA: 4.00/4.00)",
"🎓 Bachelors": "BSc in IT | UITS (CGPA: 3.94/4.00)",
"📜 IELTS": "6.5 Overall Band"
}
def get_specializations(self):
return [
"🤖 Generative AI & LLMs",
"🧠 Deep Learning & NLP",
"🔐 Federated Learning",
"👁️ Computer Vision",
"🤝 Multi-Agent Systems",
"📊 Data Science & ML"
]
def get_research(self):
return "📄 Published in MDPI Mathematics 2024 (Q1 Journal) ⭐"
def current_work(self):
return [
"💼 Building production-ready AI applications",
"🔬 Researching LLM-based multi-agent systems",
"🛠️ Creating RAG-powered intelligent assistants",
"🌟 Contributing to open-source AI projects"
]
me = AIEngineer()
print(me.get_research()) # 📄 Published in MDPI Mathematics 2024 (Q1 Journal) ⭐🔹 Junior AI Developer @ SM Technology - Developing production-ready AI applications
🔹 Research Assistant @ UITS - Published in Q1 journal (MDPI)
🔹 300+ Problems solved on competitive programming platforms
🔹 IELTS Score: 6.5 Overall
🔹 Kaggle Contributor - Active in AI/ML competitions
mindmap
root((AI/ML
Engineering))
Machine Learning
Supervised Learning
Unsupervised Learning
Ensemble Methods
Deep Learning
CNNs
RNNs/LSTMs
Transformers
NLP & LLMs
BERT
GPT Models
RAG Systems
Generative AI
Text Generation
Image Synthesis
Style Transfer
Specialized
Federated Learning
Computer Vision
Agentic AI
Audio Processing
Multi-agent system using LangGraph for automated research report generation
- Tech: LangGraph, LangChain, OpenAI API, Python
- Features: Validation, citations, professional formatting
AI-powered email management with automated analysis & responses
- Tech: OpenAI, FastAPI, React, MongoDB
- Features: Smart categorization, context-aware responses
Enterprise-ready chatbot with semantic & hybrid search
- Tech: MongoDB, LangChain, RAG, Vector Search
- Features: Context-aware responses, document retrieval
Mental health monitoring using ML/DL models
- Tech: BERT, TensorFlow, Scikit-learn, PyTorch
- Features: 7 ML models, 4 DL models, custom dataset
Personal fitness & nutrition assistant
- Tech: OpenAI, Computer Vision, NLP
- Features: AI gym coach, meal planner, food analyzer
Artistic style transfer for images, videos & webcam
- Tech: TensorFlow, Keras, OpenCV
- Features: Real-time processing, multiple style options
Privacy-Preserving Federated Learning-Based Intrusion Detection for Cyber-Physical Systems
📖 Mathematics 2024 (MDPI) - Q1 Journal
👥 Mahmud, S.A.; Islam, N.; Islam, Z.; Rahman, Z.; Mehedi, S.T.
🔗 DOI: 10.3390/math12203194
⭐ Federated Learning | Deep Learning | IoT Security | Cybersecurity
- 🥇 300+ Problems solved on beecrowd platform
- 🎯 Kaggle Contributor - AI/ML competitions (NLI, Image Classification, NLP)
- 👨💼 Executive - Competitive Programming Wing, UITS IT Club (2021-2023)
- 📝 Published Researcher - MDPI Mathematics 2024
- 🌐 IELTS: 6.5 Overall Band Score
- 🏆 Multiple Codeforces contest participations
🔸 Building advanced multi-agent AI systems with LangGraph
🔸 Exploring large language models for enterprise applications
🔸 Developing RAG-based intelligent assistants
🔸 Contributing to open-source AI/ML projects
🔸 Researching federated learning applications in real-world scenarios
- 🤖 Machine Learning & Deep Learning
- 🧠 Natural Language Processing & LLMs
- ⚡ Generative AI & Prompt Engineering
- 🔐 Federated Learning & Privacy-Preserving AI
- 👁️ Computer Vision & Image Processing
- 🤝 Agentic AI & Multi-Agent Systems
- 📊 Data Analysis & Visualization