
Karthik Kashyap HV
@karthikkashyaphv
I build production LLM inference, agent systems, and GPU-serving platforms.
What I'm looking for
I'm focused on building production LLM inference, evaluation, agent infrastructure, GPU performance, safety, and applied AI delivery.
I design model-to-production systems spanning Transformers, RAG, vLLM serving, observability, Kubernetes, quantization, speculative decoding, distributed training, MCP, and mechanistic interpretability. My project direction includes LLM serving platforms, inference performance benchmarking, optimization toolkits, agent/MCP platforms, and interpretability labs.
I value measurable artifacts, reproducible benchmarks, and systems another engineer can run.
Experience
Work history, roles, and key accomplishments
HV AI Engineer
Karthik Kashyap
AI engineer focused on production LLM inference, evaluation, agent infrastructure, GPU performance, safety/alignment, and applied AI delivery. Portfolio spans model-to-production engineering from Transformer internals and RAG through vLLM serving, observability, Kubernetes, quantization, speculative decoding, distributed training, MCP, and mechanistic interpretability.
Education
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Karthik hasn't added their education
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Tech stack
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