Applied Machine Learning • Deep Learning • Computer Vision • NLP
I build production-minded ML and CV systems end-to-end—from data + modeling to evaluation, explainability, and deployment-ready pipelines.
- Core focus: CV (detection/segmentation), NLP/Transformers, medical imaging, efficient fine-tuning
- Tooling: PyTorch/TensorFlow, Hugging Face, OpenCV, FastAPI, Docker, Git
- Looking for: AI/ML / CV / NLP internships & entry roles
Transformer-based vulnerability detection (CodeBERT + LoRA)
- F1: 74.3% on a real-world C/C++ vulnerability dataset
- Parameter-efficient fine-tuning with LoRA / PEFT (PyTorch + Hugging Face)
- Security-focused ML project demonstrating strong NLP-on-code modeling + evaluation
Tech: CodeBERT, LoRA, PEFT, PyTorch, Transformers
Civic AI operating system for urban sanitation: multimodal reporting + route optimization + epidemic risk forecasting
- Hackathon-grade, end-to-end system design with strong real-world product thinking (citizens → workers → authorities)
- Multimodal inputs: photo-first reporting + multilingual voice notes; spam filtering & verification workflow
- Cloud-native architecture with AWS Lambda + API Gateway + DynamoDB + S3, and GenAI services via Amazon Bedrock
Live / Demo: https://main.d18a1q87hofbl9.amplifyapp.com/
Tech: AWS (Lambda, API Gateway, DynamoDB, S3), Amazon Bedrock, RAG/Knowledge Base, Next.js, TypeScript, Python
Multimodal medical imaging: text-guided brain tumor segmentation (BraTS)
- Newest repo (updated May 16, 2026) and a strong direction for multimodal CV + medical AI
- Positioning: bridging natural language guidance with 3D/medical segmentation workflows
Tech: Medical imaging, segmentation, multimodal learning
Pediatric bone age prediction from hand X-rays (RSNA)
- R² = 0.9169 | MAE = 9.04 months on 12,600+ images
- Transfer learning with Xception + regression head
- Added Grad-CAM explainability and checked gender bias
Tech: TensorFlow/Keras, transfer learning, Grad-CAM, medical imaging
YOLOv8-based object tracking + monitoring
- Real-time detection/tracking pipeline with OpenCV
- Practical CV system design: alerts + monitoring use-case
Tech: YOLOv8, OpenCV, Python
- Research Agent — Python research/agent experiments (updated Apr 19, 2026)
Languages: Python, C/C++, JavaScript, SQL
ML/DL: PyTorch, TensorFlow/Keras, scikit-learn, Hugging Face Transformers
Computer Vision: OpenCV, YOLO, CNNs, Transfer Learning, Segmentation
NLP: BERT/CodeBERT, LoRA, PEFT, Transformers
Backend/Tools: FastAPI, REST APIs, Docker, Git, Jupyter, Pandas, NumPy
- Email: Amit.ak0599@gmail.com
- LinkedIn: www.linkedin.com/in/amit-kamble-b893b5214