sriram User
@sriramuser1
I am a machine learning researcher in medical imaging and NLP, focused on research.
What I'm looking for
I am a machine learning researcher specializing in medical imaging and natural language processing, with strong foundations in deep learning and computer vision.
I have completed research internships working on zero-shot stance detection using the KPatch framework and on liver tumor segmentation with deep learning in a medical imaging group. I co-authored a paper accepted at IEEE ICETCI 2025.
My projects include Causality-Aware CNNs for retinal disease classification, an EfficientPS implementation for panoptic segmentation on Cityscapes, and a YOLOv8-based monkey detection system deployed on Raspberry Pi that won a university tech fest prize.
I work primarily with Python, PyTorch and TensorFlow and emphasize reproducible experimentation, rigorous evaluation, and publishing research. I am eager to join teams that translate research into impactful healthcare and NLP applications.
Experience
Work history, roles, and key accomplishments
Research Intern
Indian Institute of Science
Conducted deep-learning research on liver tumor segmentation, evaluating state-of-the-art segmentation architectures and improving performance through experimental analysis on medical imaging datasets. Collaborated with the Computational Data Science (Medical Imaging) group to contribute to ongoing healthcare AI research.
Summer Research Intern
National Institute of Technology Andhra Pradesh
Implemented the KPatch framework for zero-shot stance detection to enhance pre-trained language models with external knowledge and applied it to social media data. Contributed to experiments and drafting of a research publication on improved stance detection methods.
Education
Degrees, certifications, and relevant coursework
Rajiv Gandhi University of Knowledge Technologies, Nuzvid
Pre-University Course, Pre-University
2022 - 2026
Grade: 9.95/10
Pre-University Course with a CGPA of 9.95/10 at Rajiv Gandhi University of Knowledge Technologies, Nuzvid (2022–2026).
Rajiv Gandhi University of Knowledge Technologies, Nuzvid
Bachelor of Technology, Computer Science and Engineering
2020 - 2022
Grade: 8.97/10
B.Tech in Computer Science and Engineering with a CGPA of 8.97/10 from Rajiv Gandhi University of Knowledge Technologies, Nuzvid (2020–2022).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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