Ashutosh Tiwari

I am a Software Engineer with 4+ years of experience across embedded systems, software quality engineering, test automation, Python development, and AI-powered engineering tools.
My work sits at the intersection of hardware and software. I have experience supporting embedded Linux platforms, firmware validation, board bring-up activities, automation frameworks, developer tooling, and intelligent software systems that help engineers solve complex technical problems more efficiently.
I enjoy building practical solutions that automate workflows, improve engineering productivity, and transform complicated technical processes into reliable software products.
Core Expertise
• Python Application Development
• Embedded Software & Firmware Engineering
• Embedded Linux & Yocto Environments
• Test Automation & Validation Systems
• AI-Powered Engineering Tools
• REST APIs & Backend Development
• Hardware Communication Protocols (UART, SPI, I2C)
• Software Architecture & System Design
• CLI Tools & Developer Productivity Platforms
• Technical Documentation & Engineering Workflows
Notable Projects
Built and maintained multiple software products and engineering tools including:
• AI-powered document learning and tutoring systems
• Real-time multimedia processing and automation applications
• Engineering knowledge management platforms
• Embedded engineering assistant frameworks
• Test management and reporting systems
• Automation utilities for engineering teams
• Local-first AI applications using modern LLM technologies

Technologies

Python, C, C++, SQLite, FastAPI, Django, Linux, Git, REST APIs, Embedded Linux, Yocto, ARM-based systems, OpenOCD, Automation Frameworks, AI/LLM Integration, Docker, Bash, CI/CD workflows.

How I Work

I focus on understanding the real engineering problem before writing code. Whether the project involves embedded systems, automation, backend services, AI integration, or developer tooling, my goal is to deliver maintainable, scalable, and production-ready solutions.

I communicate clearly, document thoroughly, and treat every project as a long-term engineering asset rather than a quick implementation.

If you need help with embedded software, Python development, automation frameworks, AI-enabled applications, or custom engineering tools, let's discuss your project.