AI/ML Systems Engineer

Monish Erode Sridhar is an M.S. Computer Science student at North Carolina State University with a 3.83/4.0 GPA and GSSP Fellow. He possesses extensive experience across machine learning, software engineering, computer vision, ML infrastructure, generative AI, scientific computing, and applied data science. He has a proven track record of building large-scale ML pipelines, experiment-tracking platforms, model-evaluation systems, anomaly-detection workflows, and reproducible ML infrastructure for real-world time-series and imaging data. His project experience includes computer-vision pipelines for fluorescence microscopy, confidence-aware time-series classification, diffusion/transformer-based scientific imaging research, and real-time wearable-sensor ML for Samsung Galaxy Watch. He is particularly interested in roles focused on building production-grade AI systems, including applied ML, AI engineering, backend/data infrastructure for ML, computer vision, LLM/RAG systems, agentic AI tools, data science, and model evaluation platforms. He is open to Software Engineer, Machine Learning Engineer, AI Engineer, Applied Scientist, Data Scientist, Computer Vision Engineer, Generative AI Engineer, and ML Infrastructure roles at both startups and larger companies.