My TimeLine

Learning Python

June 2018

Started learning Python, HTML and CSS.

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Raspberry Pi Projects

January 2019

Developed Raspberry Pi projects using Python 3, focusing on home automation and sensor integration.

Created GitHub Repo

June 2019

Created GitHub repo at github.com/nilayarangil

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HTML, CSS and BootStrap

January 2020

Learned to create and design web pages using HTML, CSS and BootStrap 5.

Django for Web Development

June 2020

Learned Web development using Django and Python.

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Web Development using ASP.NET Core

December 2021

Learned Web development using C#, ASP.NET Core and MVC Framework.

houstonmentors.org

January 2022

Launched houstonmentors.org, A Non-Profit organisation to teach python and number sense to Houston communities.

firstraquet.org

April 2022

Joined as Regional Coordinator at firstraquet.org to promote tennis in underprivileged communities in Angola.

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Coaching and Mentoring

May 2023

Expanded coaching beyond Houston to include C#, Raspberry Pi, and Web development for high school students and engineering graduates in India.

nilayarangil.com

June 2023

Launched nilayarangil.com as a platform to promote volunteer organizations in Houston, showcase courses, projects and share my journey.

Stringing Job Portal

November 2024

Developed portal for firstracquet.org to track racquet stringing activities using ASP.NET, C#, MVC framework and SQL Server.

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CourtMate Autonomous Robot

December 2023

Started designing CourtMate, an autonomous robot aimed at revolutionizing tennis court maintenance using Raspberry Pi, OpenCV, and TensorFlow Lite.

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Azure AI Services

January 2024

Began learning Azure AI services to integrate artificial intelligence capabilities to projects.

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Machine Learning Specialization

January 2024

Joined the Machine Learning Specialization, a foundational online program developed in collaboration with DeepLearning.AI and Stanford Online

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Academy for Machine Learning

June 2024

Attending the Academy for Machine Learning summer program at UT Austin to gain hands-on experience in machine learning, model coding, and exploring new technologies with professors and industry experts.