About Daniel Ashpes
Hello! I'm Daniel Ashpes.
Crafting technical solutions with precision engineering. Specializing in React, Next.js, Python, and data-driven applications that perform under pressure. I architect scalable systems that don't just function—they excel in production environments where milliseconds matter and reliability is non-negotiable. My approach combines the rigorous methodology of a data scientist with the pragmatic execution of a seasoned engineer.
I transform complex business requirements into elegant technical solutions that scale. With a Google Advanced Data Analytics certification and an upcoming Masters in Analytics from Georgia Tech, I bridge the gap between raw data and actionable intelligence. Whether it's building full-stack applications that handle millions of requests or implementing ML pipelines that drive critical business decisions, I deliver software that performs when it matters most. My code doesn't just work—it endures.
Technical Skills
My Journey
Google Advanced Data Analytics Certificate
May 2025
Advanced certification in data analytics and machine learning
QA Software Engineer at Assa Abloy
Summer 2025
Starting new role in quality assurance and software testing
Georgia Tech - Masters in Analytics
Fall 2025-2027
Starting fall 2025 - Advanced analytics education, expected 2027
Full Stack Development Expertise
Present
Proficiency in modern web technologies and frameworks
What I Do
I specialize in full-stack development, quality assurance, and data analytics. My expertise spans creating responsive web applications, implementing comprehensive software testing strategies, and transforming complex data into actionable insights. As a QA Software Engineer, I ensure software reliability while leveraging my development background to understand systems holistically. I'm passionate about combining traditional software engineering with modern data science techniques to deliver robust, data-driven solutions.
Future Goals
I am passionate about the future intersection of AI, software engineering, and data analytics. My goal is to integrate artificial intelligence and machine learning into quality assurance processes, creating intelligent testing frameworks that can predict and prevent software issues before they occur.
As I complete my Masters in Analytics at Georgia Tech, I aim to pioneer new approaches that combine traditional QA methodologies with AI-powered insights, contributing to the evolution of smart software development practices. I envision building systems that not only ensure software quality but also learn and adapt to improve development workflows through predictive analytics and automated decision-making.