Semantic structure, accessibility, and content-first layouts.
AI engineer portfolio
AI Engineer building practical, useful digital experiences.
I'm Prakash Chaudhary, a Computer Engineering student with a strong interest in Artificial Intelligence, Machine Learning, and LLM-based applications. I'm focused on building practical projects while strengthening my fundamentals in Python, data science, and software engineering.
Prakash Chaudhary
AI Engineer
I want to become an AI engineer who develops intelligent systems that solve real-world problems while continuing to learn through hands-on work.
About
Simple now, stronger with every project.
This site starts lean so it feels finished even before the bigger portfolio pieces are ready. The structure is built to support future case studies, service details, and project highlights without a redesign.
Skills
Core tools I use for AI, software, and problem-solving projects.
Responsive design, layout systems, animations, and visual polish.
Core scripting, AI workflows, data processing, and model experimentation.
Querying, filtering, joins, and working with structured data for AI projects.
Problem solving, performance-aware coding, and strong programming fundamentals.
Data structures and algorithms.
NumPy, Pandas, Scikit-Learn, Matplotlib, and Seaborn for analysis and machine learning.
Docker, deployment, LLM applications, RAG systems, APIs, and end-to-end AI engineering workflows.
Work
Projects will live here as they get completed.
Building the portfolio foundation
This first version establishes the layout, tone, and structure for the site so new projects can slot in smoothly later.
AI engineering projects coming next
RAG chatbot, image classifier, and basic LLM, neural network, and deep learning projects will be built and uploaded here as they’re completed.
Contact
Let’s connect when you’re ready to collaborate.
Replace these placeholders with your real links when they’re ready.
02prakashchaudhary@gmail.com Back to top