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I’m an AI Engineer and M.S. Artificial Intelligence candidate at Northeastern University with a strong focus on building production-ready machine learning systems. I specialize in applied AI, LLM-powered applications, multimodal models, and end-to-end ML pipelines — from data preprocessing and model training to deployment and optimization. I’ve worked on projects spanning explainable AI for medical imaging, multimodal emotion recognition, NLP-driven systems, and LLM-based agents. My approach combines strong technical foundations (Python, PyTorch, TensorFlow, data engineering, and system design) with product thinking — I care not just about model performance, but about building scalable AI systems that deliver real-world impact. I’m particularly excited about opportunities where AI moves beyond experimentation into fully deployed, user-facing products.…I’m an AI Engineer and M.S. Artificial Intelligence candidate at Northeastern University with a strong focus on building production-ready machine learning systems. I specialize in applied AI, LLM-powered applications, multimodal models, and end-to-end ML pipelines — from data preprocessing and model training to deployment and optimization. I’ve worked on projects spanning explainable AI for medical imaging, multimodal emotion recognition, NLP-driven systems, and LLM-based agents. My approach combines strong technical foundations (Python, PyTorch, TensorFlow, data engineering, and system design) with product thinking — I care not just about model performance, but about building scalable AI systems that deliver real-world impact. I’m particularly excited about opportunities where AI moves beyond experimentation into fully deployed, user-facing products.

Yukta Kasina

AI Engineer, Data Scientist, AI Developer, +3

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I’m an AI Engineer and M.S. Artificial Intelligence candidate at Northeastern University with a strong focus on building production-ready machine learning systems. I specialize in applied AI, LLM-powered applications, multimodal models, and end-to-end ML pipelines — from data preprocessing and model training to deployment and optimization. I’ve worked on projects spanning explainable AI for medical imaging, multimodal emotion recognition, NLP-driven systems, and LLM-based agents. My approach combines strong technical foundations (Python, PyTorch, TensorFlow, data engineering, and system design) with product thinking — I care not just about model performance, but about building scalable AI systems that deliver real-world impact. I’m particularly excited about opportunities where AI moves beyond experimentation into fully deployed, user-facing products.…I’m an AI Engineer and M.S. Artificial Intelligence candidate at Northeastern University with a strong focus on building production-ready machine learning systems. I specialize in applied AI, LLM-powered applications, multimodal models, and end-to-end ML pipelines — from data preprocessing and model training to deployment and optimization. I’ve worked on projects spanning explainable AI for medical imaging, multimodal emotion recognition, NLP-driven systems, and LLM-based agents. My approach combines strong technical foundations (Python, PyTorch, TensorFlow, data engineering, and system design) with product thinking — I care not just about model performance, but about building scalable AI systems that deliver real-world impact. I’m particularly excited about opportunities where AI moves beyond experimentation into fully deployed, user-facing products.

Available to hire

I’m an AI Engineer and M.S. Artificial Intelligence candidate at Northeastern University with a strong focus on building production-ready machine learning systems. I specialize in applied AI, LLM-powered applications, multimodal models, and end-to-end ML pipelines — from data preprocessing and model training to deployment and optimization.

I’ve worked on projects spanning explainable AI for medical imaging, multimodal emotion recognition, NLP-driven systems, and LLM-based agents. My approach combines strong technical foundations (Python, PyTorch, TensorFlow, data engineering, and system design) with product thinking — I care not just about model performance, but about building scalable AI systems that deliver real-world impact.

I’m particularly excited about opportunities where AI moves beyond experimentation into fully deployed, user-facing products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Machine Learning Intern at Kirusa, Inc.

August 1, 2023 - November 30, 2023

Fine-tuned and deployed NLP models using HuggingFace Transformers; integrated zero-shot classification for text summarization tasks. Designed preprocessing pipelines for large-scale unstructured datasets; collaborated with cross-functional teams to align AI solutions with business goals; improved accuracy by 12%.

Machine Learning Intern at AICTE

May 1, 2023 - July 31, 2023

Built deep learning-based recommendation components for image classification workflows. Developed model evaluation frameworks to assess performance against domain-specific benchmarks. Produced visual and written reports for both technical and non-technical stakeholders.

Data Engineering Intern at AICTE

September 1, 2022 - November 30, 2022

Developed automated ETL pipelines for large, heterogeneous datasets, improving analytics readiness by 20%. Integrated preprocessing steps including feature extraction, normalization, and data validation.