big blender
Systems and performance-focused engineer with experience across GPU acceleration, CLI tooling, and backend services.
Performance across four engineering signals.
What the signals reveal
Experience developing GPU-accelerated algorithms and low-level CUDA kernels for parallel processing tasks. Practical systems engineering spanning Rust CLI utilities and Go-based webhook infrastructure. Active algorithmic problem solving with over 100 medium and hard challenges completed.
Quantified signals
Numbers pulled directly from connected sources. Refreshed every 12 hrs.
What's actually been shipped
Auto-detected from GitHub. Tech stack inferred. AI summaries generated.
Implementations of a few image denoising algorithms in CUDA
A dev environment drift detector written in rust
A web hook delivery service written in go
A lightweight CUDA fused attention kernel for NVIDIA Ampere GPUs
The work, indexed.
Activity across public repositories and open-source contributions over the last 12 months.
Problem-solving signal
Numbers pulled directly from LeetCode. Contest performance and problem-solving activity analyzed.