Featured
Aspiring AI Engineer
Learning to Build Intelligent Systems with LLMs & AI Agents
Aspiring AI Engineer | GenAI Learner | Agentic AI Hobbyist
Focused on
GenAI Focus
Designing useful AI systems powered by LLMs and automation.
Agentic Thinking
Building workflows that plan, act, and adapt with tools.
Fast Learner
Actively learning advanced GenAI, LLM engineering, and deployment.
About Me
I’m an aspiring AI engineer learning to build practical systems with GenAI, LLMs, and agentic workflows.
Hi, I’m Rajesh Chalise
Aspiring AI Engineer | GenAI Learner
I’m exploring language models, retrieval systems, and agentic workflows through hands-on projects and prototypes. My current focus includes LLM engineering, prompt systems, and building reliable RAG pipelines.
I’m actively learning model evaluation, prompt design, and production patterns to grow into a professional AI engineering role.
Outside of AI, I enjoy solving engineering problems, crafting clean interfaces, and translating technical complexity into simple user experiences.
Skills
My core stack blends AI engineering skills with supporting technical abilities from the original portfolio.
Core AI Skills
Large Language Models (LLMs)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
AI Agents & Agentic Workflows
LangChain / LangGraph
OpenAI API / Gemini API / Hugging Face
Vector Databases
AutoGen / CrewAI
Supporting Skills
Python
C / C++
HTML
CSS / Tailwind
JavaScript
React JS
Node.js
Express.js
Data Analysis
EDA
Git & GitHub
VS Code
Render / Netlify / Streamlit
DSA / OS Concepts
Projects
Learning projects and practical experiments that show how I’m growing into GenAI and agentic system development.
Featured
My AI Learning Journey
A clear roadmap of where I’ve been, what I’m learning now, and what comes next.
Completed
Python Fundamentals
Built a strong base in Python for AI, automation, scripting, and model experimentation.
Completed
Machine Learning Basics
Explored core ML workflows, feature engineering, evaluation, and practical data handling.
In Progress
LLM Engineering
Learning how to design robust LLM applications with prompts, context, retrieval, and evaluation.
In Progress
Building AI Agents
Studying autonomous workflows, tool calling, memory, planning, and agent orchestration patterns.
Next
RAG Systems
Creating retrieval pipelines that connect custom knowledge sources to AI assistants.
Next
Fine-tuning LLMs
Learning optimization workflows for domain-specific behavior and improved model performance.
Next
MLOps & Deployment
Focusing on production deployment, monitoring, observability, and maintainable AI delivery.
Contact
Reach out if you want to collaborate on GenAI, AI agents, or internship opportunities.
Let’s build something intelligent
I’m open to AI Engineer internships, GenAI experiments, and collaboration on LLM or agentic applications. If you have an idea worth building, let’s talk.