Professional Overview
AI/ML Engineer and Researcher with 2+ years of hands-on experience building production-grade computer vision systems, generative AI pipelines, and multimodal deep learning models. Strong foundation in PyTorch, model optimization, and scalable MLOps workflows. Published researcher at ICCV 2025 with proven expertise
Experience
AI Expertise
Skills
Employment Type
Education
Field of Study: Machine Learning and AI
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.
