Research Intern
Collaborative Supply Chains (Part-time)- Supplier outreach across the USA and Canada region.
- Supplier research focused on the South Asian region.
- Factory visits for supplier finalization in Hamilton and Toronto.
AI/ML and Django Developer
Aayan Noori
I have experience in Django backend development, machine learning, deep learning, and AI. Part-time athlete currently exploring AI automation.
Chennai, Tamil Nadu
AI/ML | Django | Automation
About
Focused on intelligent systems, reliable backend services, and practical automation.
What I Build
ML systems that learn from data, and web applications that make those insights useful. I focus on clean data pipelines, disciplined model evaluation, and production-ready APIs.
Current Focus
Applying AI to personalized learning and automation workflows, with a strong emphasis on usability and measurable outcomes.
Strengths
End-to-end ownership: data prep, modeling, backend integration, and clear, testable delivery.
The Process
A timelapse of my workspace—where code is written, models are trained, and ideas come to life.
Skills
Tooling and technologies across ML, backend, and data.
Programming
- Python
- Java
Machine Learning
- Scikit-learn
- XGBoost
- Model Evaluation
- Hyperparameter Tuning
Deep Learning
- PyTorch
- Torchvision
- Artificial Neural Networks
Data Analysis
- Pandas
- NumPy
Backend Development
- Django
- FastAPI
- REST APIs
Databases
- MySQL
- MongoDB
Visualization
- Matplotlib
- Seaborn
Tools
- Git
- GitHub
- Jupyter Notebook
Experience
Hands-on research and supplier operations across regions.
Research Assistant
Samson Sky (Internship)- Market research for required components in China and India.
Projects
Selected work across AI and full-stack development.
Deepfake Detector (Real vs Fake Images)
PyTorch + DjangoA web app that detects real vs fake images using a custom CNN served via Django. Users upload an image, get a live preview, and receive a verdict plus P(fake).
- In-memory inference only (no file or database storage).
- Preprocesses to 32x32 RGB and scales to [0,1].
- CNN outputs a sigmoid probability P(fake) for the final verdict.
UniRide
DjangoDjango-based campus ride-sharing web app with authentication, profiles, vehicle registration, ride posting and browsing workflows.
- Implemented core models: Account, Vehicle, PublishRide.
- Built form-driven views and email notifications using SMTP.
Achievements
Highlights from competitions and community work.
3rd Place - Innofusion Hackathon (Data Science Club)
A 36-hour innovation sprint. Presented the project to judges from F22 Labs and collaborated with a strong team on an AI-driven learning system.
Project: NeuroLearn - Adaptive Learning Engine
- Weights incorrect answers to identify weak areas.
- Generates a custom learning path per user.
- Converts content into podcast format using 11Labs API.
- Uses computer vision to suggest short relaxation exercises.
- Integrates lofi music for focus and refreshment.
- Implements RAG to retrieve questions and summaries from PDFs.
- Dashboard to track learning progress and performance.
Certifications
Reserved for certifications and credentials.
Certification Title
Issuer · Date
Certification Title
Issuer · Date
Education
Academic background and campus involvement.
SRMIST, Kattankulathur, Chennai, Tamil Nadu
Jul 2024 - Jul 2028Bachelor of Technology (BTech), CSE with specialization in AI and ML
- Grade: Sophomore
- Hackathon participant and winner
- Member of the Data Science Club
Carmel Junior College
2009 - 2024Grad, Eco-science
- Uranus Squad Leader
- Vice President, Electoral Literacy Club
- Treasurer, Legal Literacy Club
- National athlete
Contact
Let us build something practical and reliable.
Location
Chennai, Tamil NaduGitHub
github.com/Aayannoori15