Pooja Kulkarni
Master Thesis Project at Technical University of Munich
Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolPooja Kulkarni is a software engineer and data enthusiast with 10 years of experience applying deep learning, cloud-native tooling, and systems programming to research and production problems. Currently pursuing an MSc in Informatics at Technical University of Munich, she is completing a thesis on improving out-of-core graph analytics through graph pre-processing—bridging theory and practical graph-engine optimizations for sparse, streaming, and power-law networks. Her background spans network and systems engineering at Cisco and HPE, hands-on cloud orchestration with OpenStack/OpenNebula and Kubernetes, and research into memory-usage classification and static analysis. Skilled in Python, Java, and C, she combines low-level debugging and symbolic analysis experience with modern container and observability stacks. Pooja’s profile reflects a rare mix of applied research and production engineering, with a particular knack for squeezing performance out of large graph and virtualized systems. Based in Bavaria, she brings cross-domain fluency from enterprise networking to advanced graph analytics.
10 years of coding experience
4 years of employment as a software developer
Pre University College, Pre University College at Alva's Pre-University College. MoodbidriMaster of Science - MS, Informatics, 1.9, Master of Science - MS, Informatics, 1.9 at Technical University MunichBachelor of Engineering (BEng), Computer Science, 9.13/10, Bachelor of Engineering (BEng), Computer Science, 9.13/10 at Sri Jayachamarajendra College Of Engineering. MysoreSSLC, SSLC at K.E.Board's High School. Dharwad
Github Skills (8)
src2
graph2
opennebula1
python-bindings1
python1
virtual-machine1
nebula1
klee1
Programming languages (3)
Github contributions (5)
kulkarpo/sparkfiles
Dec 2019 - Dec 2019
Contributions:10 pushes, 1 branch in 2 days
kulkarpo/flaskapp
Jul 2020 - Jul 2020
Contributions:7 pushes, 1 branch in 6 days
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