Scholar
S. VenkataKeerthy
Google Scholar ID: UjRU7EAAAAAJ
Indian Institute of Technology Hyderabad
Citations & Impact
Citations
180
H-index
6
i10-index
4
Publications
12
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- VexIR2Vec accepted at ACM TOSEM; IR2Vec now part of LLVM; Received Qualcomm Innovation Fellowship 2024; Paper 'The Next 700 ML-Enabled Compiler Optimizations' accepted at CC 2024; Presented 'Experiments on different ML-Compiler Communication approaches' at ML-Guided Compiler Optimization Workshop, LLVM Developers’ Meeting; Gave a technical talk 'ML-LLVM-Tools: Towards Seamless Integration of Machine Learning in Compiler Optimizations' at EuroLLVM Developers’ Meeting; Presentation 'GeMS: Generating Millions of SCoPs' accepted at IMPACT 2023.
Research Experience
- Currently a Student Researcher at Google; Previously worked as an Associate Software Engineer at Symantec (now Norton Lifelock).
Education
- PhD student, Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, advised by Dr. Ramakrishna Upadrasta; B.Tech in Information Technology from SASTRA University, 2016.
Background
- Research Interests: Intersection of programming languages and machine learning, focusing on designing semantically rich program representations (embeddings) for performance optimizations in compilers and program understanding for software engineering applications. Aims to model complex, heuristic-driven problems in these domains as machine learning tasks while ensuring semantic correctness.
