Bhanu Varshini
@bhanuvarshini
I build production AI agents, RAG systems, and scalable LLM infrastructure.
United StatesWhat I'm looking for
At Perplexity, I build Python-based AI agent workflows, RAG services, and distributed inference systems supporting 12,500+ daily active users. My work improved response accuracy by 24%, reduced task latency by 31%, and lowered inference costs by 19% through AWS, Kubernetes, vLLM, and TensorRT-LLM.
Previously at NVIDIA and Accenture, I delivered enterprise LLM applications, fine-tuning pipelines, retrieval systems, and MLOps platforms. I've improved model accuracy, reduced hallucinations and latency, and built reliable production services using PyTorch, Databricks, FastAPI, Docker, and AWS.
Experience
Work history, roles, and key accomplishments
Developed Python-based agent orchestration workflows and RAG pipelines, improving response accuracy by 24% and reducing task completion latency by 31%. Engineered distributed inference and evaluation frameworks supporting 12,500+ daily active users.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master of Science, Advanced Data Analytics
Pursued a Master's degree in Advanced Data Analytics.
Jawaharlal Nehru Technological University
Bachelor of Technology, Computer Science Engineering
Earned a Bachelor of Technology in Computer Science Engineering.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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