{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"B.Tech in Applied Electronics and Instrumentation Engineering","company":"College of Engineering Trivandrum","location":null,"range":"2018-08 - 2022-07","url":"https://www.cet.ac.in/"},"html":"<ul>\n<li>Completed a B.Tech in Applied Electronics and Instrumentation Engineering with a CGPA of 8.65/10.</li>\n<li>Built fundamentals in control systems, signals and systems, microprocessors, digital image processing, and programming.</li>\n<li>Developed the engineering and mathematical base that later supported my transition into machine learning and AI.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"MSc in Robotics and Artificial Intelligence","company":"University of Glasgow","location":null,"range":"2022-09 - 2023-09","url":"https://www.gla.ac.uk/"},"html":"<ul>\n<li>Graduated with Merit in Robotics and Artificial Intelligence.</li>\n<li>Built a strong foundation across machine learning, deep learning, human-computer interaction, control systems, and cybersecurity.</li>\n<li>Applied academic learning to hands-on AI and software projects focused on practical problem solving.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Graduate Teaching Assistant","company":"University of Glasgow","location":"Glasgow, UK","range":"2023-01 - 2023-06","url":"https://www.gla.ac.uk/"},"html":"<ul>\n<li>Evaluated coursework for 100+ students, focusing on correctness, efficiency, and problem-solving approach.</li>\n<li>Supported students in understanding algorithms, modeling techniques, and core engineering concepts.</li>\n<li>Helped reinforce analytical thinking and applied problem solving in a technical academic setting.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Independent AI / ML Engineer","company":"Freelance","location":"Remote","range":"2023-12 - Present","url":"https://www.linkedin.com/in/hari-s-darsan/"},"html":"<ul>\n<li>Designed and implemented end-to-end ML pipelines for real-world problems, including data preprocessing, model training, evaluation, and deployment.</li>\n<li>Translated practical problems into machine learning tasks such as classification, estimation, and retrieval-based systems with measurable evaluation metrics.</li>\n<li>Applied MLOps practices using Docker and MLflow, and developed backend services and APIs to integrate models into usable applications.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Programming and Frameworks","company":"Technical Skills","location":null,"range":"Core Stack","url":"https://github.com/hari-599"},"html":"<ul>\n<li>Programming: Python, Java, and SQL.</li>\n<li>Machine learning stack: PyTorch, Scikit-learn, TensorFlow, and Hugging Face.</li>\n<li>Comfortable working across model development, experimentation, and backend integration.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Backend and MLOps Tooling","company":"Production Tools","location":null,"range":"Deployment Stack","url":"https://github.com/hari-599"},"html":"<ul>\n<li>Use Docker and MLflow to support reproducible experiments and deployment-ready workflows.</li>\n<li>Build APIs and backend services with Flask and FastAPI for model integration.</li>\n<li>Work with Git-based development practices for maintainable, production-oriented delivery.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"ML Systems and Evaluation","company":"Applied Focus","location":null,"range":"Workflow Strengths","url":"https://github.com/hari-599"},"html":"<ul>\n<li>Experienced in feature engineering, model evaluation, experimentation, and iterative improvement.</li>\n<li>Build structured workflows for preprocessing, training, validation, and performance comparison.</li>\n<li>Focused on turning ambiguous problems into measurable machine learning tasks.</li>\n</ul>"}}]}}}