Professional Overview
AI Algorithm Engineer with 3+ years of experience designing, deploying, and optimizing production-grade Computer Vision and Generative AI solutions. Experienced in DeepStream, CUDA, Triton Inference Server, Docker, PyTorch, YOLO, RAG, and LLM integration for large-scale video analytics. Led end-to-end AI deployments across cloud and edge.
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
