data engineering , Ml, React, Typescript, Javascript, Python, LangChain, GenAI, LLMs, full-stack development, Ai

vectorization , data structures, Python, Etl, backend system architecture, Pipelines, LangGraph, embeddings, LLMs, secure APIs, LangSmith

Gcp, MLops, Docker, Databricks, Azure, Python, AWS

Tensorflow, Pytorch, Gcp, Docker, Distributed Systems, Azure, Kubernetes, Python, AWS, Airflow, SHAP, LLMs, generative AI, Scikit-learn, MLflow, prompt engineering, LIME, Kubeflow, CI CD pipelines, explainability tools, RAG architectures

React, Typescript, Postgres, Node.js, Python, Firebase, Next.js, Supabase

Perl, Bash, Python, Linux operating systems, cluster management software, job schedulers, parallel file systems, high-performance computing hardware, HPC technologies

Databricks, Microservices, AWS, Python, Kubernetes, Apis, vector databases, AI systems orchestration frameworks, backend services, AI-powered automation solutions, orchestration frameworks, event-driven systems, agentic workflows, AI data pipelines, cloud-native development, lakehouse platforms, tool-calling architectures, data lakes

ticketing systems , workflow engines , Logging, Incident Response, Authentication, Python, release management, Apis, Containers, post-incident review, CI CD, Memory Design, alerting, agent architecture, enterprise APIs, multi-agent workflows, Access Control, identity systems, cost management, orchestration frameworks, rollback, production observability, data platforms, cloud platforms, RAG model routing, Monitoring, LLM agentic AI, ML automation, backend services, code repositories

Servicenow, Kafka, Docker, Apache Kafka, Rest Apis, Python, LangChain, pgvector, Qdrant, Anthropic, Claude, vLLM, LangGraph, DeepSeek, Qwen, Mistral, Pulsar, LLM orchestration, AI observability tools, Milvus, RAG pipelines, OpenAI, LlamaIndex