Professional Overview
I'm an AI Engineer focused on Machine Learning, Generative AI, RAG, and AI Agents. I have hands-on experience building 25+ AI/ML projects, including AI-powered platforms, knowledge graphs, and intelligent automation systems. My technical skills include Python, Scikit-learn, PyTorch, LangChain, LangGraph, FastAPI, PostgreSQL, ChromaDB, and Docker. I enjoy building practical AI solutions, from data processing and model development to API integration and deployment. I'm open to contract-to-hire opportunities where I can contribute to real-world AI projects, solve technical problems, and continue growing as an AI Engineer.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
