const Amarjeet = {
pronouns: "He" | "His",
code: ["Python", "PyTorch", "TensorFlow", "JavaScript", "Node.js", "Shell Scripting"],
askMeAbout: ["MLOps", "Deep Learning", "Computer Vision", "NLP", "RAG Pipelines", "Medical AI"],
technologies: {
MachineLearning: {
frameworks: ["PyTorch", "TensorFlow", "Keras", "Scikit-learn"],
techniques: ["Transfer Learning", "Model Optimization", "Federated Learning"]
},
DeepLearning: {
domains: ["Computer Vision", "NLP", "Medical Imaging", "Brain Tumor Detection"],
architectures: ["CNN", "RNN", "Transformers", "RAG"]
},
MLOps: {
tools: ["Docker", "Kubernetes", "MLflow", "DVC", "CI/CD"],
platforms: ["AWS (EC2, EKS, ECR, S3)", "GitHub Actions"]
},
databases: ["MySQL", "Vector Databases", "XNAT"],
monitoring: ["Prometheus", "Grafana"]
},
currentFocus: "Building scalable MLOps pipelines for medical AI at CDAC Bangalore",
experience: "Project Engineer (MLOps) | 98.3% accuracy in brain tumor detection",
achievements: ["Published ML research", "1st place Developer Hackathon winner"]
};
Programming Languages & Frameworks
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MLOps & Cloud Technologies
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Databases & Tools
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Current Projects & Achievements
- 🧠 Brain Tumor Detection Pipeline: 98.3% accuracy using 3D MRI data with automated MLOps workflow
- 🔬 Medical AI at Scale: Managing XNAT servers across 13 hospitals in India
- 📊 RAG Pipelines: Built scalable retrieval-augmented generation systems from scratch
- 🏆 Research: Published work on "Multilayer Tag Extraction for Music Recommendation Systems"
Socials
GitHub Stats
