I’m a Data Scientist & ML Engineer with 6+ years of hands-on experience delivering end-to-end AI/ML solutions—from research and model development to cloud-native deployment and full-stack integration. At Northbay Solutions, I architected and deployed an AI-powered attendance system using facial recognition on AWS Panorama, and optimized LLM prompts (GPT & Claude) via AWS Bedrock, SageMaker, and Lambda for real-time insights. Prior to that, I led intent-classification and sentiment-analysis pipelines for high-volume Urdu audio at Sybrid Pvt. Ltd., and built interactive MERN-stack dashboards in Power BI for enterprise-grade reporting. I thrive on solving complex problems in Computer Vision, NLP and Generative AI, and am passionate about building scalable, cost-effective ML systems in AWS/GCP. Key strengths include: LLM Prompt Engineering & RAG: Designing retrieval-augmented pipelines and optimizing model responses Cloud ML Ops: Automating end-to-end workflows with SageMaker, Kubernetes, Docker and Terraform Deep Learning & CV: Real-time object detection, human-action recognition (OpenPose), and custom neural architectures Data Visualization & BI: Power BI, Matplotlib, and interactive dashboards I’m actively seeking remote opportunities where I can leverage my expertise to accelerate AI adoption, drive measurable ROI, and mentor teams in best practices. Let’s connect if you’re looking for a results-driven partner to bring your ML/AI initiatives to life!