Back to Projects
PersonalPresent
AI Agents & LLM Engineering Experiments
Personal ProjectAI / Full-Stack Engineer (Learning & R&D)Present
Exploring AI engineering through Python-based LLM integrations, agent systems, and practical automation tools built around modern large language models.
Tech Stack
Python
Actively researching and building AI-powered systems focused on Large Language Models (LLMs), agent architectures, and intelligent automation workflows. The work includes experimenting with prompt engineering, tool-based AI agents, structured data processing, and integrating AI capabilities into real-world applications. The goal of this ongoing project is to combine full-stack engineering experience with modern AI development practices.
Responsibilities
- Building AI agents using Python and modern LLM frameworks
- Experimenting with prompt engineering and structured outputs
- Designing tool-calling workflows and agent decision pipelines
- Integrating LLM capabilities into web applications
- Working with embeddings, context management, and retrieval concepts
- Exploring automation and developer productivity tooling powered by AI
Challenges
- Understanding probabilistic behavior vs deterministic software systems
- Designing reliable agent workflows and guardrails
- Managing context windows and information retrieval strategies
Highlights
Represents transition toward AI-augmented software engineering, combining strong frontend/full-stack background with modern LLM-based system design.