Software Engineer · AI & Machine Learning
SDE at AWS · Signal Processing · Applied AI
Full stack engineer at AWS with a research background in machine learning, signal processing, and data science. Pursuing applied science and AI engineering.
Background
I'm a Software Development Engineer at AWS on the MediaLive team, where I've spent four years building live video processing infrastructure used by broadcasters worldwide.
My graduate work focused on signal processing and machine learning — I wrote my master's thesis in this space and built several research projects applying AI and ML techniques to real-world problems. Before AWS I worked in academic research, using data science and bioinformatics to study ADHD and genomics.
My next move is toward applied science — working at the intersection of rigorous ML research and production engineering. I'm interested in roles where I can build and ship AI systems, not just apply existing ones.
Expertise
Work
Master's Thesis · 2020
Echo state networks — recurrent neural networks with a fixed reservoir and a trainable linear readout — explored with an eye toward feasibility of DNA-based implementation. The work investigates network size and sparsity to find minimum-complexity architectures that still outperform linear baselines.
Graduate & Research Work
Grad School · 2020
An LSTM classifier for genomic splice junctions, paired with a preprocessing tutorial built for lab members. One-hot encodes DNA sequences and classifies intron/exon boundaries on the UCI splice-junction dataset — 95%+ test accuracy.
View Tutorial →
Grad School · 2020
Neural style transfer applying the aesthetics of metal album artwork to clean brand logos using convolutional neural networks.
View Presentation →Grad School · 2020
A mobile robot that uses a 3D video feed to detect a colored object, locate it in mapped space, orient itself, and grab it with a robotic arm.
View Presentation →
Grad School · 2020
Reconstructed greyscale images from binary half-tone inputs using task-specific dictionary learning and sparse reconstruction of image patches, optimizing for PSNR.
View Presentation →Current Work
2026
Static site on S3 + CloudFront, infrastructure managed with Terraform, deployed via a GitHub Actions CI/CD pipeline using OIDC.
View on GitHub →Get in Touch