Sibtain S.

I am an AI Researcher and Machine Learning Engineer with proven experience in building and deploying production-grade AI systems across computer vision, time-series forecasting, and large language models. With multiple peer-reviewed publications—including acceptance at AAAI—I bring a strong research foundation combined with real-world engineering expertise. I specialize in developing scalable, high-performance AI solutions that move beyond experimentation into deployment. My core expertise includes: * Computer Vision (Face Recognition, Medical Imaging, OCR, Liveness Detection) * Time-Series Forecasting (Cryptocurrency, Financial Data, Streaming Pipelines) * Large Language Models (Fine-tuning, Multi-Agent Systems, Conversational AI) * End-to-End MLOps (Docker, Kubernetes, Triton Inference Server, GPU optimization) I have hands-on experience designing real-time data pipelines using Deephaven, Timeplus, and Redpanda, and deploying AI models on GPU infrastructure (RTX/A-series) with optimized inference workflows. I’ve successfully delivered AI solutions in domains such as: * Healthcare (multi-modal diagnostic systems using CT, MRI, X-ray) * FinTech & Crypto (low-latency predictive models) * Intelligent Automation & Recommendation Systems As a Top-rated freelance Machine Learning Engineer on Upwork, I understand client expectations, timelines, and the importance of clean, production-ready delivery. If you're looking for someone who can design, build, and deploy AI systems end-to-end—with both research depth and engineering rigor—I can help.