About
I'm a passionate developer and technical writer who recently completed an MCA in Software Engineering (with a BCA background). I love building performant, accessible products and sharing what I learn through writing and open-source contributions.
Beyond coding, I'm deeply involved in creating educational content. I love making YouTube videos that break down complex technical concepts and sharing insights through LinkedIn posts to help the developer community grow.
My journey in tech has been driven by curiosity, continuous learning, and a genuine desire to make technology more accessible to everyone. Whether it's through code, content, or community engagement, I strive to contribute meaningfully to the tech ecosystem.
Achievements
LeetCode Contest Excellence
Top 2.4% in LeetCode Biweekly Contest 162 (2025)
Problem Solving Mastery
600+ coding problems solved across platforms; 5-star SQL on HackerRank
Technical Writing Recognition
2× recognized by GeeksforGeeks as an Exemplary Tech Writer
Open Source Mentorship
Mentored 35+ students in open-source (GSSoC 2022 & 2023)
Hackathon Success
Semi-finalist in intra-college Hackathon (Top 5/100 teams)
Research & Publications
5G: The Stimulant to Digital Uprising in India
Tarun Singh, M. Dahiya
Abstract
The main objective of the paper is to discuss the role of 5G in Indian telecom sector and in other sectors too. It was expected that all 5G mobile technologies may be functional and operational by 2020. 5G comprises of advanced features and support advanced technologies, therefore its demand is much more awaited in the market, and it is the commanding technology in coming future which governs the telecom sector. This paper also discusses the key factors that can enable so that the rise in IoT devices and growth in supporting technologies can be seen. This paper also reviews the generations of mobile communication with their respective advantages and disadvantages. The paper also examines the impacts of 5G technologies on various sectors like industries, commerce, education, healthcare, agriculture, finance and social sectors.
An Analysis on Recommendation Systems in Machine Learning
Tarun Singh, Anees Ahmed Choudhary, Akash
Abstract
With the increase in growth of the digital world and the influx of huge amount of information availability, a method to find the right choice in selecting and filtering an item to choose the right product from the pool of information has become necessary. To solve this problem, recommendations systems have been developed which can help the users in getting recommendations utilizing their previous searches and purchases. Recommendation systems are used in many areas which include and not limited to online shopping, news articles, and entertainment platforms.
Memories
