Summary
Praneet Pabolu is a Senior Staff Applied Scientist based in San Francisco with 10 years of experience building and scaling generative AI, LLMs, computer vision, and time-series systems for enterprise products. He blends research-driven innovation with production engineering—leading foundation-model efforts, authoring multiple patents across NLP, CV and forecasting, and publishing research on hierarchical agentic RL and retrieval-interleaved generation. At Oracle and Splunk he developed end-to-end model lifecycles (pre-training, finetuning, RLHF/RLAIF) and architected low-latency, high-throughput pipelines using PyTorch/TensorFlow, Kafka, Flink and Sagemaker. He has a track record of shipping real-time CV/NLP services (including 5 ms object-detection inference pipelines) and building distributed deep-learning stream processors for millions of events. Known for connecting academic ideas to production constraints, he also led Cornell research on self-optimizing multi-agent systems for graphical report generation.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology - BTech Mathematics and Computer Science, Bachelor of Technology - BTech Mathematics and Computer Science at ITM UNIVERSITY, GWALIOR
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell University
English