Amrutha Kanakatte Ravishankar
@amruthakanakatteravi
AI Research Engineer with expertise in machine learning and NLP.
United StatesWhat I'm looking for
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
AI Research Engineer Intern
PONS
Jun 2025 - Present (0 months)
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.
Graduate Research Assistant
Stevens Institute of Technology
May 2025 - Present (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.
Education
Degrees, certifications, and relevant coursework
JUJSS 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.
STStevens 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.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
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