Open to opportunities

Samuel Thrasher

@samuelthrasher

Message

Senior software engineer specializing in full‑stack systems, AI integrations, and blockchain governance.

United States

Message

What I'm looking for

I seek engineering roles building secure, scalable AI and blockchain‑integrated systems, with strong cross‑team collaboration and opportunities to impact product and infrastructure.

I am a Senior Software Engineer with 9+ years building scalable full‑stack applications, distributed backend services, and AI‑driven systems. I combine deep fundamentals in mathematics and physics with hands‑on experience in React, TypeScript, Python, Node.js, and cloud platforms (AWS, GCP, Azure) to deliver production‑grade solutions.

My work has focused on governance dashboards, blockchain‑adjacent integrations, and transformer‑based models (Llama) to automate workflows and reduce human review time; I have driven major performance gains by restructuring microservices, optimizing databases, and tuning distributed caches. I collaborate closely with protocol engineers, ML researchers, and cryptographers to design secure, verifiable systems.

I take pride in shipping reliable, observable systems—implementing CI/CD, containerized deployments, and internal tooling that accelerate feature development—while contributing documentation and open‑source components for decentralized governance and applied AI.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Geogle

Jul 2018 - Oct 2025 (7 years 3 months)

Engineered full-stack governance dashboards and backend services, processing over 30M weekly requests and reducing API failure rates by 41% while cutting latency by 27% across high-throughput workloads.

React TypeScript fastAPI Python Redis PostgreSQL Kubernetes GitHub Actions Transformer Models

Backend & Machine Learning Engineer

SynapseFI

Jan 2017 - Apr 2018 (1 year 3 months)

Built Python microservices handling 10M+ KYC/sanctions transactions monthly, containerized identity verification flows to increase throughput 48%, and improved downstream classification accuracy 37% with transformer-style preprocessing.

Python Flask Docker Kubernetes AWS MongoDB PostgreSQL Transformer Models ETL

Undergraduate Researcher

The University of British Columbia

Apr 2015 - Sep 2015 (5 months)

Modeled thermal drift and signal behavior to improve CHIME telescope data calibration by 18% and designed large-scale data processing workflows for >500GB astrophysics datasets.

Python Data Processing Scientific Computing Signal Processing Research Collaboration

Undergraduate Researcher

The University of British Columbia

Apr 2014 - Sep 2014 (5 months)

Analyzed nonlinear PDEs and developed Python solvers and visualizations to identify solitary wave behaviors, automating symbolic experiments to accelerate exploratory modeling.

Python Numerical Methods PDEs Matplotlib Simulation Symbolic Computation