AI | Deep Learning | ML Engineer | Full-Stack Web Developer (React, Node, MySQL, Django, Flask)
Building real-world intelligent systems that bridge code, data, and impact.
I'm a passionate technologist driven by a curiosity for intelligent systems and a love for clean, scalable code.
With strong roots in both AI/ML and full-stack web development, I create end-to-end solutions that think, learn, and adapt.
From training neural networks and deploying ML APIs to building full-stack dashboards and dynamic user interfaces, I thrive at the intersection of modern development.
- π§ Neural Networks: CNNs, RNNs, LSTMs, GRUs, Transformers and many more
- πΈ Computer Vision: Image classification, object detection (YOLO, OpenCV)
- π Machine Learning: SVM, RandomForest, LinearRegression and many more
- π§ͺ Model Optimization: Hyperparameter tuning, regularization, dropout
- β‘ Accelerators: Trained models on Colab/GPU with TensorFlow & PyTorch
- π€ Deployment: Flask/Streamlit/FastAPI/Django apps for real-time model inference
π‘ Current focus: Explainable AI (XAI), custom deep learning architectures, and live model deployment on the web.
- π¦ Supervised/Unsupervised Learning: Regression, Classification, Clustering
- π§° ML Frameworks: Scikit-learn, XGBoost, LightGBM, Pandas, NumPy
- π EDA & Preprocessing: Scaling, encoding, PCA, SMOTE, outlier detection
- π§ͺ Projects:
- Book recommendation engine
- Spam detection web app
- Car price prediction tool
- π Python: Flask, Django (ORM, Views, APIs)
- π’ Node.js: Express.js RESTful APIs
- π§ AI App Deployment: Flask APIs, Streamlit, TensorFlow.js for browser models
- βοΈ React.js: Hooks, Router, SPA development
- π Bootstrap, HTML/CSS: Clean UI, responsive design
- π¦ State Management: Context API, basic Redux
- π¬ MySQL: Joins, queries, indexing, auth
- πΏ MongoDB (basic)
- βοΈ Heroku, GitHub Pages, Firebase
Language | Tools/Frameworks |
---|---|
Python | Flask, Django, Pandas, NumPy, TensorFlow, PyTorch |
JavaScript | React, Node.js |
HTML/CSS | Bootstrap, Tailwind |
ML Tools | Scikit-learn, XGBoost, LightGBM, Matplotlib |
DB/Backend | MySQL, MongoDB, SQLite |
Deployment | Git, GitHub Actions, Heroku, Streamlit |
Editors | VSCode, Jupyter Notebook, Google Colab |
Flask + ML model recommending similar books with user ratings and filters.
NLP model for spam/ham detection, deployed with a clean frontend.
π Car Price Predictor
Predicts car prices using ML regression + Flask website interface.
- π Portfolio Website
- πΌ LinkedIn
- π§ Email: (asadishteaque@gmail.com)
Letβs build the future with intelligence and code.
- π Iβm currently working on: AI-powered web apps, deep learning pipelines, and model deployment.
- π± Iβm currently learning: Transformer models (BERT, GPT), HuggingFace, and real-time AI APIs.
- π€ Iβm looking to collaborate on: AI research, open-source ML projects, and ethical AI development.
- π§ Iβm looking for help with: Advanced model interpretability & contributing to impactful open-source tools.
- π¬ Ask me about: Machine learning workflows, deploying AI apps, Python automation, or even full-stack tips.
- π Pronouns: He/Him
- π₯ Always building, always learning.
- π‘ Let's innovate together, not just code alone.
- π Passionately solving real-world problems with intelligence and empathy.