Prashanth Rao
AI Engineer at LanceDB
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolPrashanth Rao is an AI engineer with 8 years of experience building compound AI pipelines that combine NLP, knowledge graphs, vector search, and database systems to solve real-world business problems. He has moved seamlessly between applied research and production engineering—deploying scalable ML/NLP systems at healthcare and financial firms and optimizing graph and vector workflows at RBC and BASF. At Kùzu and LanceDB he’s contributed to open-source communities while designing workflows that pair LLMs and agents with graph-backed retrieval. He’s particularly skilled at transforming heterogeneous relational and document data into graph structures and scalable retrieval pipelines to unlock new insights. Based in Toronto, he blends an aerospace and CS academic background with hands-on engineering, which explains his knack for rigorous systems thinking and optimization. Outside typical AI roles, he brings multidisciplinary experience from CFD and simulation projects, giving him a rare systems-level perspective on data and model pipelines.
8 years of coding experience
9 years of employment as a software developer
Master of Science Aerospace Engineering, Master of Science Aerospace Engineering at University of MichiganMaster of Science Computer Science, Master of Science Computer Science at SFU School of Computing ScienceBachelor of Technology Mechanical Engineering, Bachelor of Technology Mechanical Engineering at National Institute of Technology Karnataka
Stackoverflow
2,746reputation
412kreached
10answers
17questions
xml
top-5%
Github Skills (200)
similarity-search10
language-model10
duckdb10
related-posts10
dataops10
neo4j10
computer-vision10
topic-modeling10
nlp10
flair10
sentiment-classification10
text-classification10
embeddable10
sst10
llm10
Programming languages (18)
Github contributions (5)
prrao87/fine-grained-sentiment
Jun 2019 - Oct 2021
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
Contributions:135 commits, 5 PRs, 133 pushes in 2 years 4 months
nlpcomparisondatasetmachine-learningsentiment
thedataquarry/rustinpieces
Dec 2023 - Mar 2025
Journeys between the two worlds of Python 🐍 and Rust 🦀
Contributions:57 reviews, 86 PRs, 167 pushes in 1 year 3 months
data-engineeringetlpyo3pythonrust
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