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Yukta Kasina

@yuktakasina

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Aspiring AI specialist with hands-on experience in machine learning.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my AI skills to solve real-world problems and grow professionally.

I am a dedicated and passionate AI specialist currently pursuing my Master of Science in Artificial Intelligence at Northeastern University. My academic journey has equipped me with a solid foundation in algorithms, machine learning, and data mining techniques. I have a keen interest in applying my knowledge to real-world challenges, particularly in enhancing model performance and optimizing systems.

During my internships at Kirusa, Inc. and AICTE, I successfully improved model accuracy and efficiency through innovative solutions. My projects, such as the Earthquake First Aftershock Prediction and Explainable AI for Tumor Classification, showcase my ability to leverage advanced machine learning techniques to solve complex problems. I thrive in collaborative environments and am eager to contribute to impactful AI initiatives.

Experience

Work history, roles, and key accomplishments

ML Intern

Kirusa, Inc.

Aug 2023 - Present (1 year 9 months)

Enhanced model performance by 12% using refined input features and optimized training parameters. Integrated optimized ML models into a production pipeline, enhancing system efficiency and scalability. Collaborated with a global team on model deployment, ensuring real-time inference optimization.

Optimization

ML Intern

AICTE

May 2023 - Present (2 years)

Built computer vision models using CNNs and Random Forests, improving accuracy by 15%. Deployed models on AWS SageMaker, reducing operational costs and improving accessibility. Conducted model evaluation and fine-tuning using Scikit-learn, which enhanced predictive performance and increased model accuracy.

Computer Vision CNN Random Forest AWS Sagemaker scikit learn Model Evaluation Model Fine Tuning

Data Engineering Intern

AICTE

Sep 2022 - Present (2 years 8 months)

Built data pipelines for analytics and ML applications, improving data readiness by 20%. Optimized database performance using indexing, partitioning, and caching strategies to handle large-scale datasets. Streamlined ETL processes to improve data accessibility and processing efficiency.

Data Pipelines Database Optimization Indexing Partitioning Caching ETL Processes Data Access

Education

Degrees, certifications, and relevant coursework

Northeastern University

Master of Science, Artificial Intelligence

Pursued a Master of Science in Artificial Intelligence. Coursework included Algorithms, Foundations of Artificial Intelligence, Machine Learning, Data Mining Techniques, and Natural Language Processing.

SRM Institute of Science and Technology

Bachelor of Technology, Computer Science and Engineering

Completed a Bachelor of Technology in Computer Science and Engineering. Key coursework covered AI, Algorithms, Data Structures & Algorithms, Computer Networks, DBMS, Data Mining, and Analytics.