Moazzam Hussain

CTO

San Jose, California, United States9 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 7 years in high-performance distributed storage systems.
Expert in algorithm optimization and system design.
Proven track record in AI-driven platforms for developer productivity.

Stackforce AI infers this person is a SaaS expert specializing in distributed storage and algorithm optimization.

Contact

Skills

Core Skills

Distributed Storage SystemsAlgorithm Optimization

Other Skills

AlgorithmsCC++CSSComputer ScienceCore JavaData StructuresDatabasesDistributed File System (DFS)Distributed SystemsEclipseEmbedded SystemsEnglishGitHTML

About

Results-driven software engineer with over 7 years of experience specializing in high-performance distributed storage systems, algorithm optimization, and robust system design. Currently serving as a Senior Member of Technical Staff at Nutanix USA, leading enhancements in distributed storage through efficient MapReduce-style frameworks and metadata management. Demonstrated expertise in developing innovative algorithms for optimizing system scalability, resilience, and performance. Proven track record in quantitative research and algorithmic trading, having implemented AI-driven platforms that significantly accelerated developer productivity. Strong academic background from IIT Kanpur with publications in premier algorithmic conferences and multiple accolades, including recognition awards from industry leaders and prestigious academic distinctions.

Experience

Nutanix

4 roles

Senior Member of Technical Staff

Promoted

Aug 2024 – Present · 1 yr 7 mos

Optimize and enhance Curator Service of Nutanix Distributed Storage.
Curator is a background, MapReduce-style execution framework managing cluster tasks across Nutanix’s distributed storage platform.
Enhanced system resilience by improving Curator’s ability to audit and heal during VM crashes, metadata inconsistencies, and multi-disk failures.
Accelerated metadata scans by optimizing garbage collection and massive metadata handling for large-scale clusters.
Designed a novel snapshot optimization algorithm to reduce snapshot chain length, allowing more aggressive snapshotting and longer retention without bloating metadata.
Improved cache efficiency across Curator workflows, reducing I/O bottlenecks and speeding up background job completion.
Strengthened system scalability by minimizing scan latency and improving Curator throughput under heavy metadata workloads.
Mentored project teams and bootstrapped new hires through structured technical bootcamps and documentation.
These enhancements improved cluster health, metadata efficiency, and snapshot performance while ensuring Curator scaled gracefully with enterprise cluster growth.

Distributed File System (DFS)MapReduceOperating SystemsHyper-Converged InfrastructureMentorshipC+++3

MTS-4 Core Data Path

Nov 2023 – Jul 2024 · 8 mos

MTS-4, Core Data Path

Aug 2020 – Oct 2023 · 3 yrs 2 mos

MTS-3, Core Data Path

Jun 2018 – Aug 2020 · 2 yrs 2 mos

Worldquant llc

Senior Quantitative Researcher

Jul 2016 – May 2018 · 1 yr 10 mos · Mumbai Area, India

Senior Quantitative Researcher.
Designs fully pipelined, resource efficient, automated algorithmic trading applications
Distributed Computing Platform: Condor for coarse-grained distributed parallelization of tasks.
Programming Platform: C++ (STL,Boost,GSL libraries) , Python

Vmware

Devops Internship

May 2014 – Jul 2014 · 2 mos · Bangalore

VMware vCloud Automation Center
Orchestrated efficient asynchronous deployment and configuration of VMware vCloud Automation Center Machines on an ESX host using VMware vCenter Orchestrator Workflow.