About sujala
As an AI Engineer specializing in Generative and Agentic AI at NVIDIA, I focus on building robust LLM infrastructure capable of handling high traffic and delivering reliable, low-latency services. My work includes Machine learning(deep learning), architecting multi-tenant LLM platforms with GPU autoscaling, optimizing inference pipelines using vLLM and TensorRT, and implementing production-ready RAG pipelines for hybrid retrieval and reranking. These efforts have contributed to enhanced system performance, reliability, and scalability, ensuring a high-performance AI experience for end users. I hold a Master’s degree from Webster University and a Bachelor of Technology in Computer Science. My passion lies in advancing generative and agentic AI through innovative ML infrastructure and retrieval architectures. I am eager to continue contributing to teams that deliver impactful, production-grade AI solutions to real-world challenges.
Key Skills
Experience
Ai / Ml Engineer Generative & Agentic Ai
CurrentNvidia
Education
Kakatiya Institute Of Technology & Science, Yerragattu Hillocks, Bheemaram, Hasanparthy, Warangal
Bachelor Of Technology
Kakatiya Institute Of Technology And Science
Bachelors
Webster University
Masters
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Common Questions
What is sujala's expertise?
sujala specializes in Fine-Tuning Engineer, with expertise in .net maui, ado.net, agile scrum, agile sdlc, ai safety and governance.
Where is sujala located?
sujala is based in united states.
How much experience does sujala have?
sujala has 1+ years of professional experience.
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