About

Anup Shinde is a founder, entrepreneur, and systems thinker with couple of decades of experience in the software industry. His work spans roles such as software engineer, technical architect, CTO, machine learning engineer, product builder, and independent trader. He has contributed to startups and enterprises alike—building cloud platforms, trading systems, real-time tools, and decision-making frameworks at scale.

Anup’s journey began with terminal and desktop applications, eventually evolving into full-stack SaaS platforms, ML pipelines, and strategy-driven technical leadership. Along the way, he’s led engineering teams, mentored technologists, bootstrapped products, and consulted across domains that demand both clarity and execution.

At the heart of his work lies a consistent theme: exploring the intersection of code, data, and decision-making. With a formal background in computer science and certifications in deep learning and neural networks, he brings both engineering depth and analytical precision to the table.

This website began as a personal outlet to share thoughts on technology and programming. But over time, life got busy. The site went into a quiet 7-year hiatus—paused, but never forgotten. Now revived, it returns as a broader space where Anup writes about technical architecture, machine learning, strategic leadership, productivity, and occasionally trading. Most of his market-related research appears under a separate project called Fractiz, dedicated to modeling market behavior using data and time cycles.

Anup is curious about how systems behave—whether in codebases, companies, or financial markets. This site is where he reflects, questions, and sometimes builds in public.

AnupShinde.com serves as his digital home—a place where engineering, experimentation, and reflection come together.

You can explore more of Anup's work on LinkedIn, browse open-source projects and code on GitHub, follow his thoughts and experiments on Twitter, or subscribe to his newsletter below.