A curated collection of my technical discoveries, architectural breakdowns, and real-world experiences across AI, IoT, and Full-Stack Engineering.
Explaining the real-world problem I set out to solve, the rigorous design process, and what it felt like to have my machine-to-machine hardware architecture officially recognized by the Government of India.
A technical breakdown of how I built my ML platform. Discussing the models utilized, data pipeline strategies, and the engineering challenges overcome.
A technical tutorial on achieving ultra-low latency in object detection and facial analysis using modern computer vision frameworks.
Exploring the datasets used, data cleaning pipelines, and the algorithms that proved most accurate for critical medical predictions.
A fun, data-driven look at how unsupervised learning techniques like K-Means can effectively group similar movies and TV shows.
Discussing how technology, IoT sensors, and AI can be seamlessly combined to create an intelligent assistant for modern farmers.
A highly technical deep-dive breaking down the protocols, hardware layers, and security required for reliable IoT communication.
Explaining the logic behind the intelligent packaging system and how I built the native application.
Discussing the database architecture and user-flow required to manage a large-scale volunteer system.
Writing about the logic and state management required to handle real-time parking spot allocations efficiently.
Sharing my personal advice on how I manage to architect and deploy complex applications while balancing rigorous university studies.
Discussing my hands-on experiences in the open-source community and how contributing to global projects has made me a significantly better developer.