Open to opportunities

Amrutha Kanakatte Ravishankar

@amruthakanakatteravi

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AI Research Engineer with expertise in machine learning and NLP.

United States

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can apply my skills in AI and machine learning to drive impactful projects and contribute to a forward-thinking team.

I am an AI Research Engineer Intern with a strong foundation in machine learning and natural language processing. Currently, I am enhancing healthcare datasets through innovative diffusion models, achieving a 35% improvement in synthetic data quality. My experience includes creating robust preprocessing pipelines that have significantly increased classification accuracy in disease detection tasks.

As a Graduate Research Assistant at Stevens Institute of Technology, I led the development of FinVoc2Vec, a tone-aware embedding that captures vocal tones from financial reports. This research has been recognized at leading workshops, demonstrating my ability to merge AI with finance for actionable insights. I am passionate about leveraging technology to solve complex problems and drive impactful results.

Experience

Work history, roles, and key accomplishments

Current

AI Research Engineer Intern

Current

PONS

Jun 2025 - Present (1 year)

Designed diffusion models (DDPM) for ultrasound synthesis using PyTorch, improving synthetic data quality by 35% for rare-class representation in healthcare datasets. Reduced inference time by 40% via model pruning and hyperparameter tuning while maintaining target accuracy benchmarks.

PyTorch Diffusion Models Docker

Current

Graduate Research Assistant

Current

Stevens Institute of Technology

May 2025 - Present (1 year 1 month)

Led research on FinVoc2Vec, a novel tone-aware embedding capturing vocal tone from financial reports and earnings calls to generate actionable trading signals. Integrated tone-aware embeddings with LLMs and tested on market trend prediction tasks, showing 12% improvement over textual-only models.

NLP LLM Financial Forecasting Research Data Pipelines

Education

Degrees, certifications, and relevant coursework

JSS Science and Technology University

B.E., Electronics and Communication Engineering

Grade: 8.94 / 10

Activities and societies: Focus: Signal Processing, Data Structures, Computer Architecture, VLSI Design

Completed a Bachelor of Engineering in Electronics and Communication Engineering, with a strong emphasis on Signal Processing, Data Structures, Computer Architecture, and VLSI Design. Graduated with a CGPA of 8.94 out of 10.

Stevens Institute of Technology

Master of Science, Computer Science

Grade: 3.867 / 4.0

Activities and societies: Coursework: Machine Learning, NLP, Deep Learning, Generative AI, Knowledge Discovery, Advanced Algorithms

Pursued a Master of Science in Computer Science, focusing on advanced topics such as Machine Learning, Natural Language Processing, Deep Learning, and Generative AI. Achieved a strong academic record with a CGPA of 3.867 out of 4.0.