Harshini N.D
AI Engineer · LangGraph · Neo4j · LLM Fine-tuning · RAG Pipelines · Computer Vision · GCP
Bangalore Urban
3+ years of work experience
Jun 20251 yr 1 moPresent
Bengaluru, Karnataka, India
Currently part of the Core Computer Vision team, developing software solutions and AI models for deployment on medical device hardware.
Jun 20251 yr 1 moPresent
Dental Disease Detection Pipeline: Designed and deployed an end-to-end YOLOv11 object detection system targeting 4 dental diseases (Caries, Gingivitis, Tooth Discoloration, Ulcer); applied phase-wise fine-tuning with Focal Loss to address class imbalance, improving precision by 20%. MLOps & Automated Retraining: Versioned datasets with DVC on AWS S3, tracked experiments via MLflow, and built a CI/CD pipeline that automatically triggers retraining when metrics drop below threshold; served the model as a Dockerized FastAPI service deployed on EC2 with container registered on ECR. On-Device LLM Inference: Locally inferenced MedGemma 4B-IT using llama.cpp for dental abnormality analysis and automated report generation, enabling fully offline multimodal inference.
Oct 20231 yr 9 mosJun 2025
Hassan, Karnataka, India
Nov 20247 mosMay 2025
Bengaluru, Karnataka, India
Developing and maintaining backend microservices using FastAPI and implementing RESTful APIs.
Nov 20247 mosMay 2025
GauSwastha — Cattle Health Scanner: Built backend REST APIs for an e-commerce platform; developed Order Service, Animal Trading Service, and Auth Service using FastAPI, SQLAlchemy, and PostgreSQL.
Education
Bachelor of Engineering - BE, Computer Science
Visvesvaraya Technological University
20214 yrs2025
Pre University
St. Aloysius (Deemed to be University)
20192 yrs2021
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