Applied ML engineer with 8 years building ML Products in search & retrieval, and recently agentic LLM systems in production. At Eka.care I built agent-native retrieval (MCP tools, hybrid late-interaction reranking) grounding LLMs in external data, and open-sourced an LLM evaluation library (KARMA, adopted by the Gates Foundation).
Currently doing ML consulting and independent research on agentic search, training models with GRPO to plan, issue, and refine their own search-tool queries. Strong in Python and Go.
I have EU work authorization, no sponsorship needed.
Remote: Yes (preferred; hybrid also fine)
Willing to relocate: No (remote, or hybrid within Germany)
Technologies: Python, Go, search & retrieval, ranking, RAG, agentic LLM systems (MCP, tool use), LLM post-training (GRPO/RLHF), evaluation, vLLM, Kubernetes, AWS/GCP, ML Product building
Résumé/CV: https://bluenotebook.io/about (https://linkedin.com/in/nikhil-kasukurthi GitHub https://github.com/nikhil-kasukurthi)
Email: [email protected]
Applied ML engineer with 8 years building ML Products in search & retrieval, and recently agentic LLM systems in production. At Eka.care I built agent-native retrieval (MCP tools, hybrid late-interaction reranking) grounding LLMs in external data, and open-sourced an LLM evaluation library (KARMA, adopted by the Gates Foundation).
Currently doing ML consulting and independent research on agentic search, training models with GRPO to plan, issue, and refine their own search-tool queries. Strong in Python and Go.
I have EU work authorization, no sponsorship needed.