01QUANTITATIVE SYSTEMSAI-assisted
AI-assisted
trading systems
Real-time market inputs. Model-driven decisions. The infrastructure connecting them.
QUANT & AI SYSTEMS BUILDER
I build systems.I turn ideasinto reality.
From real-time trading tools to model training and efficient AI, I turn ideas into working systems.
Chief Operating Officer
Growthster AI & Growthster Media
Growthster AI & Growthster Media
THE PERSON BEHIND THE SYSTEMS
Curiosity is the starting point.
QUANTITATIVE THINKING · CREATIVE ENGINEERINGSCROLL TO EXPLORE
01 / SELECTED WORKFROM IDEA TO INFRASTRUCTURE
Ideas, built
into systems.
I've worked across the full stack: the models, the backend, the infrastructure and the interface. Here's how the pieces connect.
01
02INFORMATION INTO ACTIONTrading signals,
Trading signals,
through Telegram.
Market-analysis APIs brought together in a signal delivery workflow.
03MODEL EFFICIENCYMaking AI
Making AI
fit the task.
Exploring useful capability with compute cost as a design constraint.
PROJECT STUDY
QUANTITATIVE TRADING / AISYSTEM FLOW
An idea is only the beginning.
The interesting part is making it work.
02 / THE TOOLKITTHINK ACROSS THE WHOLE SYSTEM
AI, from data
to deployment.
The data, the model, the decisions it makes, and everything it takes to put those decisions to work.
01 / INTELLIGENCE
Build. Train.
Make it efficient.
Model training, datasets, quantization, and experiments in task-specific model efficiency.
DATATRAINADAPT
A CLOSER LOOKDATA → MODEL → USE
From prepared data to a model, evaluation, and a working system.
02 / CONNECTIONS
Agents &
knowledge systems.
Agentic workflows, RAG, and tools that connect models with useful information and actions.
03 / DECISIONS
Quantitative
thinking.
Strategies, financial modelling and automated decision workflows across traditional and crypto markets.
04 / FOUNDATIONSThe infrastructure
The infrastructure
behind the idea.
Backend services, APIs, interfaces, containerized environments, and infrastructure for training and running models.
PythonC / C++JavaScriptNext.jsThree.jsHTML / CSS
03 / NOTES & EXPERIMENTSA NOTEBOOK IN THE MAKING
The thinking
behind the building.
Experiments, observations and lessons from the work. The useful discoveries—and the ideas still taking shape.
BUILD → TEST → RECORDNOTEBOOK
A SPACE FOR THINKING IN PUBLICThe notebook
The notebook
starts here.
I'm preparing my first notes on model training, systems design, and the experiments I want to share.
Explore my workAS THE WORK DEVELOPS
I plan to share code, datasets, models and experiment reports here as they're ready to release.
CODEDATASETSMODELSREPORTS
AN OPEN NOTEBOOK
Record observations.
Connect ideas.
Leave room for discovery.
04 / THE PERSON BEHIND IT
Curious about
how it works.
Driven to build it.
Rehan DalI'm Rehan, a quant and AI systems builder, currently completing Grade 12 while developing projects and exploring intelligent systems.
My interest in AI grew from wanting to understand what happens beneath the interface. Watching people like Andrej Karpathy explain neural networks helped turn that curiosity into a desire to build and experiment for myself.
Alongside my technical work, I'm Chief Operating Officer at Growthster AI and Growthster Media, connected organisations I started with my co-founder and close friend. I manage operations, client work and delivery.
I'm drawn to problems where better architecture changes what's possible: a useful model on a smaller machine, a clearer decision workflow, or an idea that becomes a working system.
- CURRENTLY
- Grade 12 · Building & exploring
- OPERATIONS
- Growthster AI & Growthster Media
- DRAWN TO
- AI systems · Quantitative research · Model efficiency
05 / OPEN A CONVERSATIONGOOD IDEAS OFTEN START HERE
Let's follow
a good question.
Working on AI, quantitative systems, or an idea that needs thoughtful engineering? I'd like to hear what you're exploring.
Connect on LinkedIn (opens in a new tab)FOR THE PEOPLE WHO
Research.
Engineer.
Build.