Final-year AI & Data Science engineer building healthcare AI platforms, computer vision systems, clinical NLP pipelines, and hybrid recommender engines. Production-first, always deployed.
I'm a final-year B.E. student in Artificial Intelligence & Data Science at the University of Mysore School of Engineering, holding a 9.74 GPA across 7 semesters.
My work spans clinical NLP, radiology computer vision, semantic segmentation for disaster response, and hybrid recommender systems. I don't just train models — I build end-to-end systems with FastAPI backends, Streamlit interfaces, and cloud deployments.
Currently interning at Kinetrix Technologies LLP, building an AI-integrated healthcare platform with Whisper + BERT NLP pipelines and YOLO + ResNet radiology modules.
B.E. Artificial Intelligence & Data Science
Advanced Diploma in Computer Programming
AI Development Intern
July 2026
Full-stack healthcare AI with NLP voice dictation (Whisper + BERT → structured clinical reports), radiology CV (YOLO + ResNet for X-ray/CT/MRI analysis), EHR interoperability via HL7 FHIR/DICOM, and OAuth2/JWT/RBAC security.
Case study coming soon →Semantic segmentation of flood-affected zones from UAV/aerial imagery using U-Net + ResNet34 on FloodNet. Full end-to-end pipeline: preprocessing, augmentation, training, evaluation, and visual diagnostics.
Hybrid recommendation engine combining SVD collaborative filtering (70%) with TF-IDF content similarity (30%). Interactive Streamlit UI with EDA dashboard showing rating distributions, city insights, and cuisine patterns.
View Repository →Streamlit app that structures synthetic doctor voice notes into Chief Complaint, Diagnosis, Medications, Follow-up Plan, and Summary using open-source NLP models. Deployed on Hugging Face Spaces.
View Repository →Especially interested in startups building real products with NLP, computer vision, or healthcare AI — Bangalore and remote.