Tableau, Sql, Azure ML, Powerbi, Databricks, versioning, Model lifecycle management, Reproducibility, Deployment tracking, MLOps tools, Cloud ML platforms, CI/CD toolchain, MLflow, Model registry, Lineage, Monitoring

Machine Learning, Deep Learning, Tensorflow, Numpy, Pytorch, Pandas, MLops, Docker, Opencv, Rest Apis, Python, Computer Vision, scikit-learn, CNNs, Mask R-CNN, CLIP-like models, SAM-like models, YOLO, Transformers, Vision Transformers

workflow applications , Aml, Ml, Data Analytics, Fircosoft, Actimize, Tookitaki, Compliance, Ai, Detica, Quantexa

conducting workshops , Machine Learning, Openshift, Solution Delivery, AI Agents, Platform Modernization, Planning, AI Governance, Architectural Design, Workflow Orchestration

Ml, Data Quality, ETF experience, systematic equities research, portfolio integration, Ai, cost modelling, live deployment

MLops, AI ML, data pipelines, streaming systems, event-driven architecture, CI CD, observability

Cloud Architecture, AI workloads, Technical Program Management, Data Center GPU architecture

Keras, Opencl, Java, Tensorflow, Django, Rust, Pytorch, Cuda, FastAPI, Kubernetes, Python, Docker, Flask, Azure ML, Go, ONNX, AWS Sagemaker, DeepStream, Caffe, TensorRT

Sql, Pytorch, Java, Nosql, Python, Kubernetes, Tensorflow, Docker, MLflow, KServe, R, Scikit-learn

solace , Sonarqube, Spring Boot, Java, Numpy, Kafka, Pandas, AWS, Kotlin, Python, Azure, Veracode, Gcp, Project Loom, Checkmarx, Cython, GraalVM, GenAI Agentic AI, asyncio