Amarjeet Kumar — Consultant

I am an MLOps Engineer with expertise in building and deploying scalable machine learning systems and pipelines for production environments. Over the years, I have developed end-to-end ML pipelines for various applications, including medical imaging (brain tumor detection, epilepsy classification) and AI-driven solutions. Expertise includes: - Machine Learning & Deep Learning: Model training, optimization, and deployment for real-world applications. - MLOps: Building and automating ML pipelines with CI/CD, automated retraining, and continuous monitoring. Tools & Technologies: - Frameworks: TensorFlow, PyTorch, HuggingFace, LangChain. - MLOps Tools: MLflow, DVC, GitHub Actions, Docker, Kubernetes. - Cloud & Infrastructure: AWS (EC2, S3, EKS), FastAPI for model deployment. - Monitoring & Automation: Prometheus, Grafana, automated monitoring, and alerting. - ML Pipeline Development: Full-cycle pipeline creation, including data ingestion, preprocessing, model training, deployment, and monitoring. - Model Versioning & Performance Tracking: Ensuring scalable, reproducible, and continuously optimized machine learning models. I’m passionate about optimizing machine learning workflows, enhancing model performance, and leveraging MLOps to scale ML systems effectively in real-world applications.

Stackforce AI infers this person is a Healthcare-focused MLOps Engineer with expertise in scalable machine learning systems.

Location: Bengaluru, Karnataka, India

Experience: 4 yrs 9 mos