- 🎓 Data Science student @ University of Management & Technology (Class of 2027)
- 💼 2+ Years of Experience in Data Engineering, ML & AI Development
- ⚙️ Data Engineer — ETL pipelines, big data processing & workflow automation
- 🧠 Deep Learning — Neural networks, CNNs, RNNs & model fine-tuning
- 👁️ Computer Vision — Image recognition, object detection & OpenCV
- 💬 NLP Specialist — Text analysis, tokenization, sentiment analysis & LLMs
- 🔮 Prompt Engineer — LLM optimization, chain-of-thought, structured outputs
- 🎨 Front-End Developer — Flutter, Streamlit, HTML/CSS & interactive dashboards
- 📊 Data Analytics — Power BI, visual storytelling & actionable insights
- ⚡ Vibe Coder — Fast-building, clean code, intuitive UI instincts
- 📧 Contact: junaidkhan99e9@gmail.com
- ⚡ Fun fact: I lift weights at the gym and lift data in my projects! 💪🏀
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║ Data Engineer & ML Developer 2023 — Present | 2+ yrs ║
║ Freelance / Independent Projects ║
║ ► Built 15+ ETL pipelines, NLP models & CV applications ║
║ ► Delivered AI-powered tools & Streamlit dashboards ║
║ ► Specialized in LLM integrations & prompt engineering ║
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║ Front-End & Mobile Developer 2023 — Present | 2 yrs ║
║ Personal & Academic Projects ║
║ ► Cross-platform apps with Flutter & Firebase ║
║ ► Interactive data UIs with Streamlit, HTML/CSS ║
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║ Data Science Student (Active Research) 2023 — 2027 | Ongoing ║
║ University of Management & Technology ║
║ ► Research in deep learning, NLP & big data analytics ║
║ ► Open-source contributions in data engineering ║
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| 🔬 Data Engineering | 🧠 Deep Learning | 👁️ Computer Vision |
|---|---|---|
| ETL Pipelines · Airflow | Neural Networks · CNNs | OpenCV · Object Detection |
| MySQL · Data Modeling | TensorFlow · Keras | Image Classification |
| Big Data · Integration | Model Fine-tuning | Feature Extraction |
| 💬 NLP & AI | 🔮 Prompt Engineering | 🎨 Front-End Dev |
|---|---|---|
| Text Analysis · spaCy | LLM Optimization | Flutter · Dart |
| Sentiment Analysis | Chain-of-Thought | Streamlit · HTML/CSS |
| Language Models | Structured Outputs | Firebase · UI/UX |
| 📊 Data Analytics | ⚡ Vibe Coding | 🤖 ML & Automation |
|---|---|---|
| Power BI · Dashboards | Fast Prototyping | scikit-learn · Pandas |
| Visual Storytelling | Clean Intuitive Code | Web Scraping · Selenium |
| KPI Tracking | Rapid Deployment | API Development |
🧠 Deep Learning & Computer Vision
- Neural Networks: CNNs, RNNs, LSTMs, Transformers
- Computer Vision: Image classification, object detection, segmentation
- Frameworks: TensorFlow, Keras, OpenCV
- Tasks: Face recognition, image preprocessing, feature extraction
- Model Optimization: Transfer learning, hyperparameter tuning, regularization
💬 NLP & Prompt Engineering
- NLP Tasks: Text classification, sentiment analysis, NER, tokenization
- LLM Integration: OpenAI API, HuggingFace models, fine-tuning
- Prompt Engineering: Chain-of-thought, few-shot, structured outputs, system prompts
- Libraries: NLTK, spaCy, Transformers
- Applications: Chatbots, document Q&A, text summarization
⚙️ Data Engineering & Analytics
- ETL Pipelines: Automated data extraction, transformation & loading
- Orchestration: Apache Airflow workflow automation
- Databases: MySQL, data modeling & optimization
- Analytics: Power BI dashboards, KPI tracking, visual storytelling
- Big Data: Large-scale dataset processing & integration
🎨 Front-End & Vibe Coding
- Mobile: Flutter cross-platform apps with Firebase backend
- Web Apps: Streamlit interactive data applications
- Web: HTML5, CSS3 responsive layouts
- Vibe Coding: Fast prototyping, intuitive UI instincts, rapid deployment
- Design: Clean, user-friendly interfaces with data visualization
goals_2025 = {
"MLOps": "Model deployment, monitoring & CI/CD pipelines",
"GenAI": "Advanced LLMs, RAG systems & agent frameworks",
"Cloud": "AWS / Azure data services & serverless ML",
"Real-time": "Streaming analytics with Kafka & Spark",
"CV Research": "Production-grade computer vision applications",
"Open Source": "Active contributions to AI/Data communities",
}
for area, goal in goals_2025.items():
print(f"🚀 {area}: {goal}")
