Building things from scratch — from distributed GPU clusters to IoT devices. CS undergrad at PES University. Into ML, cybersecurity, IoT, and anything that pushes limits.
I'm a CS student at PES University obsessed with building things from the ground up.
From machine learning and cybersecurity to physically constructing
IoT devices and electronics projects — if it can be built, I want to build it.
Passionate about embedded systems, low-level programming, and making hardware do things it probably shouldn't.
When I'm not coding, I'm sim racing, tuning cars, or crashing rockets.
A LAN-based Blender render farm prototype that splits animation frames across multiple machines for parallel rendering using a master–worker model. No cloud dependency — pure local distributed compute.
P2P encrypted file transfer over your local network — no internet required. Transfers files directly between machines with end-to-end encryption for complete privacy on LAN.
A lightweight application-layer reliability protocol on top of UDP for IoT telemetry in constrained networks. Implements ordered delivery, ACK/NACK, sliding window flow control, and retransmission — without TCP overhead.
A full LAN-based restaurant management web application with real-world functionality combined with cybersecurity blue-team principles — built to demonstrate secure system design in a practical setting.
Building a distributed inference system to split large language model load across multiple machines — experimenting with tensor parallelism and custom routing to run LLMs that don't fit on a single GPU.
An end-to-end IoT telemetry pipeline — from embedded sensors collecting real-world data to a backend that ingests, processes, and visualizes it in real time. Designed for constrained network environments.
Two machine learning projects currently in active development — applying ML fundamentals to real-world problems. Details dropping soon.
Get real physical feedback when you take damage in Minecraft via a buzzer triggered by a relay.Every time your player takes damage in Minecraft, the mod sends a signal through a Python bridge to an Arduino Uno, which triggers a relay that buzzes a buzzer for 500ms.
Exploring ML fundamentals — from supervised learning and neural networks to model training pipelines. Bridging theory with real project applications.
Diving deep into how data actually moves — TCP/IP, packet analysis, network architecture. Feeds directly into both cybersecurity and distributed systems work.
Open to collabs, projects, or just talking about rockets and race cars.