Professional Overview
AI/ML Engineer with a Master's degree in Engineering and hands-on experience developing real-world AI-powered applications. Skilled in Python, Machine Learning, Deep Learning, Generative AI, LLMs, RAG architectures, AI Agents, and backend development using FastAPI. Experienced in building intelligent automation workflows, integrating AI models and
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.
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.
