Aruna Murugesan

Experience

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  Uniq Technologies

  May 2020 - Jul 2020

  Machine Learning Intern

  • Analyzed missing values, outliers, and feature relationships to inform data cleaning and preprocessing strategies.• Conducted exploratory data analysis (EDA) to uncover insights and patterns within the data.• Implemented AI algorithms for various tasks, including classification, regression, clustering, and recommendation systems.• Used principal component analysis (PCA) to reduce dimensionality and improve model efficiency.

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  KaaShiv InfoTech

  Mar 2021 - Jun 2021

  AI Intern

  • Utilized tools such as Pandas, NumPy, and Matplotlib for data manipulation and visualization.• Documented processes, models, datasets, and experimental results for technical reports and internal use.• Stayed updated on AI/ML advancements, participating in research and internal knowledge-sharing sessions.• Contributed to the optimization and fine-tuning of machine learning models, improving speed and performance.• Implemented machine learning and deep learning models under the guidance of senior developers, experimenting with algorithms. Show less

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  V3 Tech Solutions

  Aug 2023 - now

  Junior AI Engineer

  • Assisted in data preprocessing tasks, including data collection, cleaning, and feature engineering for machine learning models.• Evaluated model performance using metrics like accuracy, precision, recall, and F1-score to ensure optimal outcomes.• Wrote efficient, maintainable code for AI models and data pipelines using libraries such as TensorFlow, PyTorch, and Scikit-learn.• Collaborated with cross-functional teams to understand business requirements and integrate AI solutions into production environment.• Debugged and troubleshot AI models and data pipelines to resolve performance issues and model inaccuracies. Show less

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  PORTER LEE CORPORATION

  Apr 2024 - Aug 2024

  Software Engineer Intern

  • Developed RESTful APIs for integrating machine learning models with web-based applications.• Developed endpoints for model inference, enabling seamless communication between front-end interfaces and AI models.• Improved data security with JWT-based authentication and authorization protocols. • Increased performance by 20% through SQL query optimization and caching. • Facilitated seamless integration and understanding for developers by creating detailed API documentation using Swagger. Show less