AI-assisted
trading systems
A trading system needs more than a model. I worked on the training, backend, infrastructure, and interface that connect live data to decisions.
I'm Rehan. I work on AI-assisted trading tools, Telegram bots, and task-specific models, from training and testing to the backend and interface.
These projects took me from live market data to Telegram delivery and model efficiency. Open one to see my contribution and where the work stands.
A trading system needs more than a model. I worked on the training, backend, infrastructure, and interface that connect live data to decisions.
I brought several market-analysis APIs into one bot, with trading signals delivered through Telegram.
I experiment with adapting models to specific tasks, considering the capability I need and the compute it takes.
Each diagram shows the main connections.
The project details explain my part.
My work spans model training, backend code, and the interface people use. I'm also exploring how agents and retrieval fit into that picture.
I'm interested in how data and training shape a model, and how quantization can reduce the resources it needs. My own experiments focus on specific tasks.
Data feeds the model. Evaluation checks its output. The application puts it to use.
I'm exploring agents that use tools, and retrieval-augmented generation (RAG), which brings relevant source material into a model's context.
My trading projects sit alongside an interest in quantitative strategies and financial modelling, across traditional markets and crypto.
I work on the services, API connections, infrastructure, and interfaces around a model. These are the languages and tools I use along the way.
A place to explain what I'm exploring, what the evidence says, and what I want to test next.
A switch turns on a light. Two explanations fit. Which test would reveal the hidden rule? An interactive look at how AI could learn by experimenting.
Read the essay12 November 2026 · No new experimental results
I'm completing Grade 12. Alongside school, I build AI and trading systems and help run Growthster AI and Growthster Media.
Watching Andrej Karpathy explain neural networks helped get me into AI. I wanted to understand what was happening underneath, then try building with it myself.
I started Growthster AI and Growthster Media with a close friend. As Chief Operating Officer, I manage operations, clients, and delivery. That puts me on both sides of the work: building software and helping get projects delivered.
The areas I keep coming back to are model training, efficient AI, and how markets work. I enjoy getting far enough into a project to understand how its parts depend on each other.
If you're building an AI tool, working with market data, or exploring model efficiency, I'd like to hear about it. Send me what you're working on and where you're stuck.
Message me on LinkedIn (opens in a new tab)Research.
Engineer.
Build.