Pawan kumar

1. Lead development of multimodal AI, NLP, and LLM chatbot solutions, boosting user satisfaction with RAG-powered applications. 2. Optimize MLOps pipelines and cloud infrastructure, reducing overall project costs by 40% and accelerating delivery. 3. Drive innovation in AI with advanced techniques like synthetic data and multi-agent architectures. 4. Mentor teams, fostering a culture of collaboration and responsible AI practices.

1. Architect and develop cutting-edge, LLM-based agentic applications using frameworks like LangChain and LangGraph, from design to production deployment. 2. Implement and optimize advanced Retrieval-Augmented Generation (RAG) pipelines, utilizing techniques like hybrid search, query translation, and fine-tuning. 3. Design scalable, cloud-native AI systems with a microservices architecture, and establish robust LLM observability and monitoring using Datadog and Databricks.

Designed RL-based scheduling algorithm for Kubernetes clusters under EU-fundedBraine Project, improving resource utilization by 40% and reducing pod scheduling latency by 60% across distributed environments.

1. Managed installation, configuration, administration, and automation of WebSphere Application Server and Oracle WebLogic Server. 2. Set up security permissions in WebSphere environments to authenticate against LDAP servers and secure consoles using SSL. 3. Troubleshot JEE runtime environment issues by analyzing server logs, diagnosing thread-dumps, and heap-dumps using MAT, IBM heap analyzer, and Oracle Visual JVM.