Professional Overview
AI/ML Engineer | Actively Seeking Remote RolesResults-driven Machine Learning Engineer focused on building and deploying scalable AI solutions across Deep Learning, Computer Vision (YOLOv8), and NLP/RAG. I manage the entire ML lifecycle, leveraging PyTorch, TensorFlow, and MLOps practices (Docker, basic AWS) to deliver production-ready systems.Actively seeking a challenging remote role where my expertise in RAG Chatbots and real-time vision systems can drive measurable business impact.Top Skills:Deep Learning, MLOps, RAG/LLMs (LangChain, Ollama).YOLOv8, Python, Data Analysis, Statistical Modeling.
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.
