M.S. Computer Science, NC State University (GPA 3.83, GSSP Fellow), Thesis in Algorithms. Experience spanning machine learning, computer vision, ML infrastructure, generative AI, and scientific computing.
Previously built experiment-tracking platforms, large-scale ML pipelines, computer-vision systems for fluorescence microscopy, wearable-sensor algorithms for Samsung Galaxy Watch, and deep-learning forecasting systems for scientific imaging.
Interested in Software Engineer, Machine Learning Engineer, AI Engineer, Applied Scientist, Computer Vision, Data Science, and Generative AI roles. Open to startups and larger companies.
Remote: Yes
Willing to relocate: Yes
Technologies:
Machine Learning & AI — PyTorch, Transformers, Diffusion Models, Computer Vision, Time-Series Modeling, Retrieval Systems, RAG, Agentic Workflows, Model Evaluation, Experiment Tracking, Statistical Learning, Anomaly Detection
Software Engineering — Python, C++, TypeScript, Kotlin, FastAPI, REST APIs, PostgreSQL, MongoDB, Distributed Systems, Data Processing Pipelines, Reproducible ML Infrastructure
Computer Vision & Scientific Computing - OpenCV, Image Registration, Motion Compensation, Segmentation, Image Reconstruction, Signal Processing, Scientific Imaging
Infrastructure & MLOps - Docker, GitHub Actions, CI/CD, Monitoring, Performance Analysis, Cloud-Based ML Workflows
Résumé/CV: https://docs.google.com/document/d/1U7FXha5sRlFPV4VU9GScmuNc...
LinkedIn: https://www.linkedin.com/in/monish-erode-sridhar-7a1b16198/
Email: [email protected]
M.S. Computer Science, NC State University (GPA 3.83, GSSP Fellow), Thesis in Algorithms. Experience spanning machine learning, computer vision, ML infrastructure, generative AI, and scientific computing.
Previously built experiment-tracking platforms, large-scale ML pipelines, computer-vision systems for fluorescence microscopy, wearable-sensor algorithms for Samsung Galaxy Watch, and deep-learning forecasting systems for scientific imaging.
Interested in Software Engineer, Machine Learning Engineer, AI Engineer, Applied Scientist, Computer Vision, Data Science, and Generative AI roles. Open to startups and larger companies.