Tcp, PostgreSQL, Containers, Json, Http, Concurrency, Ruby, Tls, Kubernetes, Profiling, Go, Observability

Prometheus, Grafana, Kubernetes, Python, RDMA, GitOps, Go, NVSwitch, Volcano, NVIDIA NVL72 GB300, OpenTelemetry, KAI, NVLink, GPU scheduling, YuniKorn, Kueue, Slurm

C++, Tensorflow, Pytorch, Api, Keras, Firmware, System Security, Production Technical Services, concurrent engineering, AI Evaluation, Access Control System, Fine Tuning, low latency, Responsible AI, Model Quantisation, Prompt Injection

data engineering , ML Libraries (scikit-learn), Version Control (Git), PyTorch), Containerization (Docker), Deep Learning Frameworks (TensorFlow, Data Processing (pandas, Orchestration (Kubernetes), NumPy), Java, Spring Boot, Python, Machine Learning, Distributed Systems, Artificial Intelligence, Restful Services, Agentic AI, Microservices Architecture, API Design Principles, Event-driven Architectures

Web Application Development, Data Science, Database Design, Agentic AI frameworks, AI techniques, Agile delivery methodologies, containerisation and orchestration, cloud computing platforms, automated build test and deployment pipelines

Node.js, Python, API services, Go, LLM application development, vector databases, Monitoring, Caching, AI coding tools, performance optimization, RAG pipelines, Deployment

Tensorflow, Deep Learning, Databases, Pytorch, Docker, Python, AWS, Apis, Backend Development, MLops, Gcp, Machine Learning, Azure, Cloud-based application development, Application development using APIs and microservices, Hugging Face, Data processing and analytics, Responsible AI practices, LangGraph, Data pipelines, LangChain, Generative AI, Vector databases, AI security governance

Data Security, Kafka, Sql, Spark, Data Governance, Databricks, Python, data pipelines, ClickHouse, Flink, AI applications, data models, dbt

Docker, FastAPI, Kubernetes, Python, CI CD pipelines, Kubeflow, MLflow