Ml, Typescript, Distributed Systems, Gcp, Docker, PostgreSQL, Node.js, Redis, Kubernetes, Ai, OpenSearch

Java, C, C++, Assembly Language, Debugging Tools, Uefi, Python, Linux Kernel, ACPI, Build systems, Software virtual platforms, Distributed version control systems, Low-level boot firmware, SystemReady

Machine Learning, Distributed Systems, Tensorflow, Pytorch, Predictive Analytics, Python, Big Data, Clustering, Deep Learning, MLops, Spark, GenAI, Telemetry Analytics, Data Pipelines, Random Forests, MLflow, Vector Databases, Time-Series Forecasting, AIOps, LLMs, Production AI Systems, anomaly detection, Cloud Data Architecture, Statistical Modeling

Technical Leadership, Foundation model API integration, Production-grade agentic AI system design and development, AI Observability Monitoring, LLMOps, Cloud AI Platforms Services, AI Governance Lifecycle Management, Cloud-Native Infrastructure Deployment, Graph-RAG architectures, Technical communication and documentation, Agent orchestration frameworks, Agentic AI, Multi-Agent Systems, AI Cost Management, Embedding strategies, MCP and AI tool integration architecture

object storage , Replication, Algorithms, Virtualization, Distributed Systems, Data structures, Cloud Storage, Clustering, Performance Tuning, Debugging, Os Internals, File storage, De-duplication, Memory Space management, Software systems design, Multi-threaded programming, Storage product development

Golang, Node.js, Typescript, Distributed Systems, Kubernetes, Python, System observability, Containerized workloads, Cloud-native architectures, Infrastructure engineering, SRE practices, Resiliency design, ML GenAI applications

Golang, Saml, metrics, Sns, AWS API Gateway, Python, AWS, Api Gateway, RDS, Oauth2, Cloudwatch, ECS, Iam, Sqs, Kubernetes, Multi-tenant systems design, Secrets Manager, Distributed tracing, Aurora, Apache APISIX, SCIM, Kong, Observability, Structured logging, AI-driven development, AWS Cognito, Istio, EKS, Async event-driven architectures, Envoy, OIDC

Python, MLops, GenAI LLM-based applications, retrieval systems, Memory management architectures, Vector databases, agent orchestration frameworks, LLM APIs and ecosystems, context engineering, Prompt design and optimization, autonomous systems design, RAG orchestration layers, LLMOps practices, multi-agent system design and coordination, PII risk governance, secure and compliant AI systems, evaluation frameworks, enterprise AI platform design

Devops, Jenkins, Git, Docker, Kubernetes, Python, AgenticAI frameworks, R, AI ML engineering, CI CD tools