Professional Overview
I am an aspiring AI Engineer driven by curiosity, persistence, and a genuine passion for building intelligent systems that solve real-world problems. My journey into Artificial Intelligence has been built through independent learning, experimentation, and countless hours of hands-on development. I have spent time exploring unfamiliar technologies, understanding complex concepts, integrating AI models, debugging unexpected failures, and finding solutions to problems that initially seemed impossible. There have been challenging moments when implementations failed repeatedly, concepts took longer than expected to understand, and I had to rethink my entire approach. But I have never considered these struggles reasons to give up. They have become an important part of how I learn and grow. I believe in learning by building. My practical AI work includes developing a Customer Support AI Assistant using LLMs, RAG, LangGraph, Python, and FastAPI; Jerrid AI, a Windows-based AI agent focused on intelligent assistance and automation; and exploring Computer Vision applications. These projects have allowed me to work with AI agents, conversational memory, knowledge retrieval, model integration
Education
Field of Study: Computer Science
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
