Neha Padole
Software Engineer at Cisco
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolNeha Padole is a Software Engineer with 9 years of experience building robust, Linux-based systems in C, C++ and Python across enterprise and HPC domains. She has a strong track record at companies like Altair, Dell Technologies and now Cisco, working through full product lifecycles and focusing on backend stability and test automation. Her open-source contributions to the widely used OpenPBS project show hands-on expertise fixing scheduler race conditions, preventing negative job counts after restarts, and hardening interactive job startup—demonstrating deep systems-level understanding. Trained in Electrical, Electronics and Communications Engineering from Savitribai Phule Pune University, she blends low-level engineering rigor with practical automation to deliver reliable production software.
8 years of coding experience
11 years of employment as a software developer
Shri Brijlal Biyani Science College , Near Dashara Ground, Durga Vihar, Amravati.Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering at Savitribai Phule Pune University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
f-test10
hpc10
python10
job-scheduling10
functional-testing10
functional10
test-automation10
testing10
c178
c118
Programming languages (1)
Github contributions (5)
openpbs/openpbs
Nov 2017 - Mar 2021
An HPC workload manager and job scheduler for desktops, clusters, and clouds.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:37 reviews, 23 commits, 37 PRs in 3 years 4 months
Contributions summary:Neha primarily focused on identifying and fixing bugs related to job scheduling and queuing within the HPC workload manager. Their contributions involved modifying and enhancing existing tests to ensure correct job state reporting and prevent negative job counts after server restarts. The user also addressed race conditions in interactive job startup and ALPS reservation handling, indicating a focus on system stability and reliability. Code changes included modifications to core server code and test files, demonstrating a strong understanding of the system's inner workings.
slurmprovisioningschedulingclustersscheduler
npadole20/pbspro
May 2017 - May 2022
An HPC workload manager and job scheduler for desktops, clusters, and clouds.
Contributions:488 pushes, 111 branches, 3 comments in 5 years
slurmschedulingclustersschedulersap-hana
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