Jul 2024 – Mar 2025 · 8 mos · London Area, United Kingdom

Jul 2022 – Jun 2024 · 1 yr 11 mos · London Area, United Kingdom

• AWS Security

Mar 2020 – Jun 2022 · 2 yrs 3 mos · Geneva, Switzerland

• Worked with the storage team on an EU-funded project to develop a collaboration and resource-sharing mesh across different cloud sync-and-share providers. I'm developing a distributed interoperability platform between storage and application endpoints.
• Built the backend microservices for creating and sharing resources between heterogeneous systems over WebDAV, powered by interoperable, pluggable drivers.
• Implemented metadata manipulation and propagation, file versioning, permission control and share reference drivers for multiple file system backends.
• Revamped the token authentication mechanism with role-based access control.
• Designed and integrated an rclone plugin for cross-node on-demand data transfers.

Jun 2019 – Aug 2019 · 2 mos · Geneva Metropolitan Area

• Worked with the File Storage team on developing a diagnosis and remediation platform through expert anomaly detection systems for the CERN cloud sync utility, which would enable the automation of mitigation procedures for troubleshooting tasks.

Aug 2019 – Feb 2020 · 6 mos · Bengaluru Area, India

• Worked with the Stargate team on performance improvements for a log-structured data store for handling random user writes. Increased the user I/O receptivity performance by over 20%.
• Enabled smoother background draining from the log store, resulting in lower frontend latencies.
• Parallelized the distributed recovery of the in-memory data index during disk rehosting.
• Optimized the write path for slice-unaligned sequential writes to minimize the number of slice drains to the HDD backend.
• As part of Nutanix Hackathon 2020, I also worked in a team to prototype utilizing persistent memory hardware for the current in-memory log store index, as well as the metadata cache, through which we could significantly increase the cache size, resulting in more hits and a 30% improvement in performance. This prototype was selected amongst the top hacks in the 'Strengthen the Core' category.

Jan 2019 – May 2019 · 4 mos · Singapore

• Worked at the School of Computing on developing novel high-dimensional Bayesian optimization algorithms using generalized tree-structured additive models defined on overlapping variable instances, making the kernel learning much more efficient.

May 2018 – Jul 2018 · 2 mos · Hannover-Braunschweig-Göttingen-Wolfsburg Region

• Worked with the Information Systems and Machine Learning Lab (ISMLL) under Prof. Lars Schmidt-Thieme on the extrapolation of partially trained learning curves across different datasets through deep CNNs, which outperform the state of the art Bayesian counterparts, to automate the process of architecture search and meta-modeling.

May 2017 – Jul 2017 · 2 mos · Bengaluru, Karnataka, India

• Worked with the Stargate team on the development and automation of QoS Phase-II which implements user policies for VMs and Volume Groups through multiple interfaces.
• Integrated the Undefined Behavior Sanitizer (UBSan) for GCC for catching bugs related to integer overflows and misaligned pointers at runtime.

Aug 2016 – May 2018 · 1 yr 9 mos · Greater Allahabad Area

• Responsibilities included taking laboratory and tutorial sessions for the students, and setting assignment and lab exam problems.

May 2016 – Jul 2016 · 2 mos · New Delhi Area, India

• Guide: Dr. Saibal K. Pal, Senior Research Scientist (Scientist ‘G')
• Implemented hybrid and binary versions of nature inspired swarm optimization algorithms, Artificial Bee Colony, Firefly algorithm and Particle Swarm Optimization for solving NP and NP Hard problems such as Integer Factorization, Knapsack problem and the Set Covering Problem.
• Explored the possibility of developing better versions of the algorithms by coupling with a combination of genetic and differential evolution techniques and introduction of new control parameters.