') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); Nazmul0005 (Nazmul Islam) · GitHub
Skip to content
View Nazmul0005's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report Nazmul0005

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Nazmul0005/README.md

Hi there, I'm Nazmul Islam! 👋

Banner

🤖 AI/ML Engineer | 📊 Data Scientist | 🔬 Published Researcher

Building intelligent systems that make a difference 🚀

Profile ViewsFollowers


🚀 About Me

classAIEngineer:
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"]
defget_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"
}
defget_specializations(self):
return [
"🤖 Generative AI & LLMs",
"🧠 Deep Learning & NLP",
"🔐 Federated Learning",
"👁️ Computer Vision",
"🤝 Multi-Agent Systems",
"📊 Data Science & ML"
]
defget_research(self):
return"📄 Published in MDPI Mathematics 2024 (Q1 Journal) ⭐"defcurrent_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) ⭐

💼 Professional Highlights

🔹 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


🛠️ Tech Stack & Skills

💻 Programming Languages

PythonC++JavaJavaScriptSQL

🤖 AI/ML & Deep Learning

TensorFlowPyTorchKerasscikit-learnHugging FaceLangChainOpenAI

📊 Data Science & Analytics

PandasNumPyMatplotlibSeabornPower BI

🌐 Web Development

ReactNext.jsFastAPIFlaskStreamlit

🗄️ Databases & Cloud

MongoDBMySQLGoogle CloudDocker

🛠️ Tools & Platforms

GitGitHubVS CodePostmanLinux


🎯 Areas of Expertise

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
Loading

🏆 Featured Projects

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

📚 Research Publication

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


📊 GitHub Statistics

GitHub Streak
Contribution Graph

🏅 Achievements & Activities

  • 🥇 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

💡 What I'm Currently Working On

🔸 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


📫 Connect With Me

LinkedInKaggleTwitterFacebookInstagramYouTubeEmailPortfolio


💬 Ask Me About

  • 🤖 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

📈 Coding Activity


🌟 "Transforming ideas into intelligent solutions, one line of code at a time" 🌟

Coding GIF

If you find my work interesting, consider giving a ⭐ to my repositories!Snake animationWave

Popular repositories Loading

  1. AI-Moving-Cost-Estimator AI-Moving-Cost-EstimatorPublic

    Automated AI-driven moving cost engine that processes home videos to detect inventory, calculate volume, assess complexity, and generate accurate relocation cost estimates.

    Python 2

  2. Text2Audio_Audio2Text_Conversion_Using_HuggingFace Text2Audio_Audio2Text_Conversion_Using_HuggingFacePublic

    A demo project showcasing text-to-speech and speech-to-text conversions using Hugging Face models like Bark and Whisper.

    Jupyter Notebook 1

  3. Nazmul0005 Nazmul0005Public

    AI/ML Engineer | Published Researcher (MDPI 2024) | Building intelligent systems with LLMs, RAG, and Multi-Agent AI | Python, TensorFlow, PyTorch

    1

  4. Text2Image_Generation_HuggingFace Text2Image_Generation_HuggingFacePublic

    Jupyter Notebook 1

  5. all_social-media-qr-codes-for-content-on-demand all_social-media-qr-codes-for-content-on-demandPublic

    Jupyter Notebook 1

  6. Computer_Graphics_Project Computer_Graphics_ProjectPublic

    C++ 1