Stock Backtesting Tool
A personal backtesting engine for evaluating portfolio strategies against historical market data — built to put real numbers behind the investing advice I give friends and family.
I'm a software engineer who has shipped production code at every layer — infrastructure and AI tooling at T-Mobile, embedded systems at Eaton & full-stack web platforms at SkillUp Online. Now growing into senior scope: owning systems end-to-end and multiplying the engineers around me.
Infrastructure - Kubernetes, Terraform, and CI/CD pipelines that keep teams shipping safely.
Production agents built on the Claude API and MCP that do real work autonomously.
Firmware in C/C++ on ARM and RTOS — where every byte and millisecond counts.
Web applications end to end, from API design to the interface people actually use.
A personal backtesting engine for evaluating portfolio strategies against historical market data — built to put real numbers behind the investing advice I give friends and family.
A deep learning model that predicts stock closing prices using LSTM networks, evaluating models on validation accuracy and loss to find the best predictor.
Computer vision in C++ that detects American regulatory signs by HSV values — no model training required. Paired with an edge-detection pipeline using convolution and bilinear interpolation.
I take problems from ambiguous ask to running system — design, build, ship, and the on-call that follows. No throwing things over the wall.
The best code I write is the code others don't have to. Automation, tooling, and clear docs that turn one engineer's week into the whole team's.
From registers to React to agent architectures — I move toward what I don't know yet. Currently going deep on AI systems and distributed design.