Full-Stack AI Engineer - RAG/ETL pipelines - React/Next.js - RN/Flutter - Django/FastAPI - Supabase/Firebase
- BS Computer Science (2022-2026).
- I build full-stack products with a systems view: data model -> APIs -> UI -> testing.
- Comfortable across Python/ML and web/mobile stacks, with a focus on practical, reproducible workflows.
- I enjoy mapping concepts across stacks (web to mobile, ML to production, UI to data).
- Systems thinking: designing features end-to-end, not just screens.
- API integrations: Firebase, Supabase, Cloudinary, Prismic, Spoonacular, TinyMce, Twillio, Whatsapp Business, Instagram, Gemini API, Grok API and more.
- Practical ML: clear evaluation, deterministic splits, and interpretability when possible.
-
Languages: Python, JavaScript, TypeScript, Dart, SQL, C++, C#
-
AI/ML: TensorFlow/Keras, scikit-learn, Transformers, OpenCV, NLTK, pandas, numpy, Matplotlib, Seaborn
-
Data Extraction: Docling, Unstructured, LiamaParse, PDFPlumber, PyMuPDF, Tabula, Camelot
-
Web: React, Next.js, Tailwind CSS, HTML/CSS, React Router, Styled Components, Redux Toolkit
-
Mobile: Flutter, React Native, GoRouter
-
Backend & APIs: Django, Django REST Framework, FastAPI, Flask, Supabase, Firebase
-
Databases: PostgreSQL, MySQL, NoSQL (cloud firestore)
-
DevOps & Tooling: Docker, Git/GitHub, uv, ruff
-
AI Tools: GPT-Codex and Github Copilot (inside VS-Code)
- Campus Grid - Flutter + Firebase + Cloudinary with hierarchical navigation, search, and resource CRUD.
- Quiver - Next.js 15 + Supabase productivity app with rich-text editing and AI integrations.
- Delights at the Table - Next.js SSR recipe discovery using Prismic CMS and Spoonacular API, tested with Jest + Cypress.
- Vanlife - React Router data APIs, nested layouts, and MirageJS mock backend.
- TransferLearning-MobileNetV2-GradCam-5Foods - MobileNetV2 transfer learning with Grad-CAM interpretability.
- ML-Labs - notebooks across sklearn, TensorFlow, Transformers, Flask, and Streamlit.
- Python-Git-Revision - Python labs plus OOP, databases, and web fundamentals.
- DjangoForEverybody - Django specialization coursework and projects.
- IT-Club-AI-ML - ML internship notebooks across core workflows.
- CosmiCode-DeepLearning - deep learning internship tasks.
- CosmiCode-DataScience - data science internship notebooks.
- GreenVision-Python - ML internship exercises and exam material.
- Machine Learning Specialization (DeepLearning.ai & Stanford)
- Advanced React Specialization (Scrimba)
- Django for Everybody (University of Michigan)
- Learn Python Specialization (Scrimba)
- Agentic AI and RAG/ETL pipelines.
- Backend reliability and custom API design.
- ERP integrations with RAG systems.
- React/Next ecosystem patterns (Tanstack query and Zustand).
- Flutter ecosystem patterns (GoRouter and state management with Riverpod).
- Arabic.
- LinkedIn: https://www.linkedin.com/in/syed-junaid-jaffery/
- Email: junaidjaffery1@gmail.com
- GitHub: https://github.com/Junaid7200
