- Web Developer
- UI/UX Designer
- Programmer
Hello There!
I'm
Aviral Kaintura
As a designer and web developer, I thrive on creative tasks that allow me to push the boundaries of what's possible.
Get in touch
21f2000172@ds.study.iitm.ac.in
Background
🟢 Currently, I am a student at the National Forensics Sciences University, pursuing my Bachelor of Technology degree in Computer Science.
Through my studies, I have gained a solid understanding of the underlying principles of computer science, as well as the practical skills necessary to develop and implement complex web-based applications. I am excited to continue my studies and to apply my skills to real-world projects in the future.
🟢
I am both a designer and a web developer. I enjoy taking on creative tasks and challenges that allow me to put my skills to the test. As a designer, I love experimenting with different color palettes, typography, and layout designs to create visually appealing and engaging websites and applications.
skills
👨💻️
Languages
- C++
- JavaScript
- Python
- C#
- Java
- Ruby
- Dart
🖥️
Utilities
- Git
- TensorFlow
- PyTorch
- Sinatra
- Flask
- VueJS
- NodeJS
- Flutter
🛠️
Tools
- Google Cloud Platform
- Azure
- AWS
- Unity
- SQL
- Blender
Experience
- ➤ Bhumi iTech Pvt. Ltd | CyberSecurity Intern | May 2023 - July 2023
- Research and Planning Phase: Conducted in-depth research on SOAR technology and industry-standard platforms
- Proof of Concept (PoC) Development: Implemented planned architecture and workflows using a selected SOAR platform, configuring connectors, rules, playbooks, and automation tasks.
- SOAR Installation and Integration: Integrated the SOAR platform with other security tools such as MISP, Cortex, and Hive
- ➤ Code In Place | Section Leader | May 2023 - June 2023
- Teaching and Learning: Taught Python programming to 10+ students, implemented quizzes and activities.
- Student Support: Assisted students in understanding complex programming concepts and techniques.
- Project Implementation: Provided guidance on best practices for project development and implementation.
Projects
➤ Skin Lesion Image Classification Using Deep Learning Models (TensorFlow, PyTorch, FastAI, Gradio, HuggingFace) [Link]
- Comprehensive Dataset: Utilized a large and diverse ISIC dataset spanning multiple years comprising various types of skin lesions, including melanoma, basal cell carcinoma, and others.
- Advanced Model Accuracy: Achieved impressive accuracy on ISIC 2019 Train & Test Dataset using state-of-the-art ResNet152, VGG19, DenseNet201, and SqueezeNet1.1 models.
- Comprehensive Evaluation Metrics: Provided a comprehensive set of evaluation metrics, including ROC curves, precision-recall curves, accuracy metrics, and confusion matrices, to assess the performance of each model.
- User-Friendly Implementation: Included a Hugging Face demo for users to try out the models without any prior programming knowledge.
➤ URL Shortener [Link]
- Key Features: Unique shortened links, customizable link length, easy sharing, simple and clean interface, and flexible deployment options.
- How It Works: Built with Ruby 2.7+ and the Sinatra framework, with data storage using PStore and HTML/CSS interface with daisyUI. Users can enter a long URL and choose a shortened link length to receive a unique shortened link output.
➤ Movie Booking Flask App [Link]
- Key Features: User registration and login, browsing, selecting movies and booking tickets, viewing booking history, and admin dashboard for managing movies, users, and bookings.
- How It Works: Built with Flask, Python, SQLAlchemy and BootStrap.
Get in touch 21f2000172@ds.study.iitm.ac.in
Background
🟢 Currently, I am a student at the National Forensics Sciences University, pursuing my Bachelor of Technology degree in Computer Science.
Through my studies, I have gained a solid understanding of the underlying principles of computer science, as well as the practical skills necessary to develop and implement complex web-based applications. I am excited to continue my studies and to apply my skills to real-world projects in the future.🟢 I am both a designer and a web developer. I enjoy taking on creative tasks and challenges that allow me to put my skills to the test. As a designer, I love experimenting with different color palettes, typography, and layout designs to create visually appealing and engaging websites and applications.
skills
👨💻️
Languages- C++
- JavaScript
- Python
- C#
- Java
- Ruby
- Dart
🖥️
Utilities- Git
- TensorFlow
- PyTorch
- Sinatra
- Flask
- VueJS
- NodeJS
- Flutter
🛠️
Tools- Google Cloud Platform
- Azure
- AWS
- Unity
- SQL
- Blender
Experience
- ➤ Bhumi iTech Pvt. Ltd | CyberSecurity Intern | May 2023 - July 2023
- Research and Planning Phase: Conducted in-depth research on SOAR technology and industry-standard platforms
- Proof of Concept (PoC) Development: Implemented planned architecture and workflows using a selected SOAR platform, configuring connectors, rules, playbooks, and automation tasks.
- SOAR Installation and Integration: Integrated the SOAR platform with other security tools such as MISP, Cortex, and Hive
- ➤ Code In Place | Section Leader | May 2023 - June 2023
- Teaching and Learning: Taught Python programming to 10+ students, implemented quizzes and activities.
- Student Support: Assisted students in understanding complex programming concepts and techniques.
- Project Implementation: Provided guidance on best practices for project development and implementation.
Projects
- Comprehensive Dataset: Utilized a large and diverse ISIC dataset spanning multiple years comprising various types of skin lesions, including melanoma, basal cell carcinoma, and others.
- Advanced Model Accuracy: Achieved impressive accuracy on ISIC 2019 Train & Test Dataset using state-of-the-art ResNet152, VGG19, DenseNet201, and SqueezeNet1.1 models.
- Comprehensive Evaluation Metrics: Provided a comprehensive set of evaluation metrics, including ROC curves, precision-recall curves, accuracy metrics, and confusion matrices, to assess the performance of each model.
- User-Friendly Implementation: Included a Hugging Face demo for users to try out the models without any prior programming knowledge.
- Key Features: Unique shortened links, customizable link length, easy sharing, simple and clean interface, and flexible deployment options.
- How It Works: Built with Ruby 2.7+ and the Sinatra framework, with data storage using PStore and HTML/CSS interface with daisyUI. Users can enter a long URL and choose a shortened link length to receive a unique shortened link output.
- Key Features: User registration and login, browsing, selecting movies and booking tickets, viewing booking history, and admin dashboard for managing movies, users, and bookings.
- How It Works: Built with Flask, Python, SQLAlchemy and BootStrap.