IIT Madras · Data Science & Applications

Priyanshu Kumar

Building software systems, exploring hardware, and sharing honest technology.

I am a tech creator and Data Science & Applications student at IIT Madras, and the founder & developer behind CodeHype Tech (formerly CodeHype). I create honest tech reviews, smartphone unboxings, and consumer hardware evaluations on YouTube through CodeHype Tech, and develop full-stack software systems, algorithms, and practical applications—including the flagship JhaMed HMS healthcare platform and Ephemeral privacy platform—through CodeHype Tech Labs.

Priyanshu Kumar - Creator of CodeHype Tech
Active Creator & Developer

Development & Creator Journey

Academic Foundation

IIT Madras Data Science

Pursuing the Data Science & Applications program at the Indian Institute of Technology Madras. Focusing on computational programming, database architecture, machine learning algorithms, and real-world data systems.

Tech Creator Ecosystem

CodeHype Tech Channel

CodeHype Tech is my main tech review channel on YouTube. I create honest, long-term tech reviews, smartphone unboxings, Apple Silicon MacBook tests, iPad comparisons, and teardowns to help people make smart buying decisions.

Core Philosophy

Practical & Honest Technology

My mission is to demystify complex software and hardware — helping people choose the right technology tools and showing students how to build production systems from scratch.

Technical Domains & Stack

Media

Consumer Tech Analysis

Smartphones, Apple Silicon (M-series), iPhones, iPads, flagships, creator gear, battery life diagnostics, and long-term durability assessments.

Apple iOS/macOS Android Hardware Benchmarks
Development

Full-Stack SaaS Systems

Architecting multi-tenant web applications, relational database schemas, concurrency locking, REST APIs, and automated role workflows.

Python Flask 3 PostgreSQL SQLAlchemy
Data & AI

Data Science & ML

Exploratory data analysis, statistical modeling, machine learning workflows, automated ETL pipelines, and algorithmic optimization.

Pandas NumPy Scikit-Learn SQL DBMS
Open for Collaborations

Let's build something remarkable.

Interested in product reviews, tech sponsorships, consulting, or software development collaborations?