SDE 2 at Dell Technologies | Storage, File Systems & Distributed Systems Reliability | Agentic AI Development, Automation, Testing & Validation

Bengaluru

Banglore

Bengaluru




India







Master of Engineering - MEng, Big Data Analytics
Manipal School of Information Sciences

Bachelor's degree, Information Technology
Nmam Institute of Technology
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I’m a Software Engineer 2 at Dell Technologies working on PowerScale OneFS, focused on storage systems, file systems, distributed systems reliability, system testing, and validation. My work involves debugging complex system behavior, improving reliability, validating fixes, and contributing to product and test infrastructure for large-scale enterprise environments. I’ve contributed 128+ merged code changes, supported 325+ engineering work items, and delivered 132+ verified fixes across product code and test infrastructure. I also use AI as an engineering productivity layer. I build structured AI-assisted workflows for debugging, triage, validation, automation, and documentation, helping repetitive engineering tasks become faster, more consistent, and easier to repeat with proper human review. Earlier, I worked as a Graduate Intern at Dell on DDLH/data-platform workflows, contributing to Spark and different data connector testing, automation, storage-configuration workflows, and release validation in distributed data environments. My academic background includes a Bachelor’s degree in Information Technology and a Master of Engineering in Big Data Analytics, giving me a strong foundation in software fundamentals, data-intensive systems, performance trade-offs, and systems at scale. I’m interested in storage systems, distributed systems, Linux/kernel engineering, reliability, developer tooling, system validation, and practical AI for software engineering productivity.
Greater Bengaluru Area
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Software Engineer 2 at Dell Technologies, Sep 2025 - Aug 2026 · 1 yr, Bengaluru, - Work on PowerScale OneFS storage, file-system reliability, and distributed-systems validation in large-scale enterprise environments. - Contribute to kernel-focused systems work, solving low-level reliability and performance issues in storage-related workflows. - Delivered a memory-aware scaling improvement that removed write stalls of up to 11 seconds in high-scale scenarios. - Investigate and resolve critical issues through root-cause analysis, trace-based debugging, and system-level validation for both customer side and during developmet . - Build AI-assisted automation that makes debugging, triage, testing, and validation faster and more repeatable. - Built personalised AI harness which strategically enhanced overall work proficiency 10x. - Contributed 128+ merged code changes, supported 325+ engineering work items, and delivered 132+ verified fixes across product code and test infrastructure.
Software Engineer Intern at Dell Technologies, Jul 2024 - Aug 2025 · 1 y 1 mo, Banglore, Data Engineering Platform | Bangalore, India • Contributed to Dell’s Data Lakehouse (DDLH) workflows involving Apache Spark batch jobs, PySpark/Trino connector testing, automation, and storage-configuration workflows. • Improved CI/CD automation around custom connectors, environment setup, and cleanup logic, significantly increasing regression coverage and test execution reliability. • Diagnosed promoted-build and infrastructure failures, effectively separating product defects from environment issues to strengthen release confidence. • Presented product features and operational workflows during an Engineering Knowledge Transfer (EKT) session for support engineers responsible for customer deployments and issue resolution.
DevOps Intern at Cognizant, Mar 2022 - Sep 2022 · 7 mos, Bengaluru, Gained hands-on experience with DevOps practices, automation workflows, and collaborative software delivery in a team environment as a part of my training.
Machine Learning Lead at Robotics Club Nitte, Aug 2021 - Jul 2022 · 1 yr, - Led Machine Learning Domain for Robotics Club for academic year 2021-22. - Conducted Profile Building Workshop for Students. - Conducted weekly workshops for Machine Learning domains. Coordinated for organizing all Robotics competitions at Collegiate fest Incridea - Conducted Robotics Skill lab for first year students. Led the Publicity, Design, Rotox project team
Team Manager (Alligators - Combat Robotics Division) at Robotics Club Nitte, Aug 2021 - Jul 2022 · 1 yr, - Led Recruitment drive for the team. Organized written tests and interview rounds for candidates - Brought in team sponsors across various industries. - Shared knowledge and experience regarding participating and building new robots for events
Data Science Intern at Exposys Data Labs, Jul 2021 - Aug 2021 · 2 mos
Business Analytics Trainee at MedTourEasy, Oct 2020 - Nov 2020 · 2 mos, India
Master of Engineering - MEng, Big Data Analytics, Manipal School of Information Sciences
Bachelor's degree, Information Technology, Nmam Institute of Technology