Hitesh Arora
@hitesharora
MTS / Backend-focused engineer driving reliability, storage systems, and automation improvements.
What I'm looking for
I am a Member of Technical Staff with 4+ years of experience in systems, storage, and backend engineering, holding an M.Tech in Computer Science. I specialize in designing and optimizing storage and replication models, improving availability and reducing data loss for business-critical workloads.
At NetApp I led initiatives that reduced disaster-time data loss by 60% and implemented a synchronous replication model delivering zero data loss (0 RPO) and improved RTO for critical workloads. I also drove C++ feature optimizations and refactoring that cut customer-reported defects by 80%.
I mentor and accelerate onboarding for new engineers, having routinely guided multiple hires across sister teams and improving onboarding speed and code quality. I led a code-coverage push adding CxxTest unit tests that increased coverage by 30% and reduced issues by 25%.
Earlier roles include building an AI ticket-similarity POC (Word2Vec) and delivering automation and RPA solutions that sustained high bot efficiency and faster incident communication. I combine hands-on debugging, core-dump analysis, and cross-functional collaboration to deliver scalable, reliable systems.
Experience
Work history, roles, and key accomplishments
Delivered storage and backend features for Snapshots/SnapMirror that enabled 0 RPO synchronous replication and improved scalability, reducing disaster-time data loss by 60% and customer defects by 80%. Mentored new engineers and increased unit-test coverage by 30%.
Led an AI case-similarity proof-of-concept on 50k+ tickets using Word2Vec and TensorFlow, cutting manual ticket categorization time by 50% and achieving 70–80% top-5 relevance.
Maintained RPA solutions and optimized SQL and automation workflows to sustain 99% bot processing efficiency and automated failure alerts, improving incident communication speed by 80%.
Education
Degrees, certifications, and relevant coursework
Indraprastha Institute of Information Technology Delhi
Master of Technology, Computer Science and Engineering
2020 - 2022
Grade: 8.01/10
Activities and societies: Teaching assistant for Operating Systems and Data Structures & Algorithms; led a team on a hybrid ML project achieving 93.69% accuracy; student ambassador and mentorship activities.
Completed M.Tech. in Computer Science and Engineering with coursework in OOP, databases, data structures, algorithms, and operating systems; graduated with a CGPA of 8.01/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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