The Shift to AI-Native Software Architectures
How software design changes when autonomous AI agents are treated as core runtime components, not just optional API integration points.
A Computer Science student building at the intersection of Artificial Intelligence and software engineering. I design AI-driven systems focused on intelligent automation, real-world execution, and scalable product thinking.
I use autonomous coding agents to accelerate development and experimentation, while maintaining full ownership of architecture, design, and implementation across everything I build.
Engineering autonomous software agents that can read codebases, write code, run test suites, and self-correct using LLM reasoning loops.
Designing intelligent, multi-step workflows that string together LLMs, vector search, and API integrations to automate complex business processes.
Building clean, highly interactive web applications that connect deep learning models and data dashboards to end-users.
Architecting growth infrastructure β CRM integrations, conversion funnels, analytics pipelines, and marketing automation systems.
Building systems that generate, optimize, and deploy content at scale using templating engines, NLP, and search intelligence.
Automating document parsing, data extraction, and decision-making workflows with cognitive AI pipelines and intelligent routing.
Actively architecting autonomous AI systems, ML pipelines, and full-stack applications. Featured projects will drop here soon!
Contributed to the design and development of AI-driven products, automation frameworks, and full-stack applications. Used Large Language Models (LLMs), RAG architectures, and modern web technologies to create scalable solutions for knowledge retrieval, workflow automation, and business process improvement. Delivered measurable gains in efficiency and user experience.
Deep dives into AI engineering, autonomous loops, and software architectures.
How software design changes when autonomous AI agents are treated as core runtime components, not just optional API integration points.
A deep dive into the engineering loop that enables an AI agent to write code, parse compiler errors, execute tests, and repair its own mistakes.
Why the raw print-inspired aesthetic of neobrutalism makes developer portfolios stand out, and how to build it using vanilla CSS and Tailwind.
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