Abhinay Nagpal

CTO

San Francisco, California, United States18 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 15 years of experience in software engineering leadership.
Expertise in scalable cloud infrastructure and distributed systems.
Proven track record in driving platform architecture transformation.

Stackforce AI infers this person is a Cloud Computing and Infrastructure expert with a focus on scalable systems.

Contact

Skills

Core Skills

Cloud ComputingDistributed SystemsApi InfrastructureEvent Driven ArchitectureProduct DevelopmentTeam ManagementMachine LearningEtl PipelinesAnalytics InfrastructureHadoopMapreduceGeostatistical ModelingDatabase SystemsJavaAndroidData Etl

Other Skills

Enterprise SoftwareEngineering ManagementOpen API StandardsSpring BootGolangKubernetesSeed FundingData GovernanceGraphQLMonitoringAlertsAvroKernel TechniquesData MiningHTML5

About

As a Senior Director of Software Engineering with over 15 years of experience, I lead the engineering organization at Nutanix, focusing on Nutanix Cloud Clusters (NC2) and the Nutanix control plane platform. My work enables seamless hybrid cloud deployments across AWS, Azure, and Google Cloud. My expertise centers on scalable cloud infrastructure, distributed systems, data systems, privacy, data governance and enterprise software, supported by a background in hands-on software engineering and management. I am committed to driving platform architecture transformation, enhancing engineering productivity, and delivering high-performance distributed infrastructure. I value servant leadership and fostering collaborative teams, empowering them to deliver impactful and reliable solutions.

Experience

Nutanix

4 roles

Senior Director of Software Engineering

Promoted

Oct 2025 – Present · 5 mos

Engineer with 15+ years of experience building and scaling large cloud infrastructure platforms, distributed systems, and enterprise software products. Currently leading the engineering organization responsible for Nutanix Cloud Clusters (NC2) and the Nutanix control plane platform, enabling hybrid cloud deployments across AWS, Azure, and Google Cloud.
Proven track record of:
Scaling global engineering organizations
Driving platform architecture transformation
Delivering high-performance distributed infrastructure
Improving engineering productivity and operational excellence

Cloud ComputingDistributed SystemsEnterprise SoftwareEngineering Management

Director Of Engineering

Promoted

Jun 2021 – Oct 2025 · 4 yrs 4 mos

Managing teams working on Cloud control plane/ API infra across 3 geos.
Laid out multi year strategy for overhauling the control plane using open api standards/ observability/ event driven architecture using spring boot/ golang/ kubernetes. This has led to 5x improvement in throughput and latency .
Improved product quality - reducing CFDs by over 75%.
Increased Operational efficiency by better release planning, reducing regressions and growing strong operational leads
Hired top class talent and grew the team. Work closely with product management and support to improve product quality.
Systems built:
Infrastructure orchestration services
Distributed operational databases (RAFT log, offering a SQL like interface)
Time-series telemetry platforms (Columnar store, Roaring bitmaps, S3)
Messaging and notification infrastructure (NATS, websockets, webhooks)
IAM and trust systems (SPIFFE, Zanzibar like IAM)
MCP servers and agents using React Pattern, Langgraph
Also hands on contributor (fixing bugs, design and implementation of features)

API InfrastructureOpen API StandardsEvent Driven ArchitectureSpring BootGolangKubernetes

Senior Staff Engineer / TLM

Promoted

Sep 2019 – Nov 2020 · 1 yr 2 mos · San Francisco Bay Area

Tech lead manager and architect for Prism Pro, Nutanix's IT/ AIOPS product. This product is at the intersection of data center operations and monitoring, machine learning and automation. My team and I have written home grown machine learning algorithms, ETL pipelines and any DIY work to ship the fastest growing product in the Nutanix portfolio.
I have also contributed to the core Nutanix infrastructure , I helped rewrite the Nutanix middleware using Graphql, Golang to get 15x-50x speedup in the middleware itself which translates to about 3x-10x speedup in UI workflows with a reduced memory footprint.

Machine LearningETL PipelinesGraphQLGolang

Staff Software Engineer

Aug 2013 – Aug 2019 · 6 yrs · San Francisco Bay Area

(MTS 4/ Sr.MTS/ Staff)
Software Engineer developing scalable, distributed, analytics infrastructure. I worked in the monitoring / alerts teams, the hypervisor management team as well as the analytics team.
Design, develop a scalable scheduler for VM's as well as storage for Acropolis
http://www.nutanix.com/2016/09/20/advanced-vm-placement-intelligence-allows-vms-focus-running-workloads/
======================================
Part of the team behind the Nutanix X-Fit machine learning platform.
Design and implement:
Predictive analytics + distributed systems for capacity planning and system optimization
http://www.nutanix.com/products/features/operational-insights/
======================================
Build a distributed resilient health check engine.
Cluster Health/ NCC (Nutanix cluster checker)
http://nutanix.blogspot.com/2014/07/40-feature-cluster-health-framework.html
http://www.nutanix.com/blog/2014/04/16/nos-4-0-cluster-health-slices-dices/
======================================
Provide rolling upgrades for the cluster checker.
1 click upgrade for NCC:
http://aakashjacob.blogspot.in/2015/01/ncc-one-click-upgrade.html
======================================
Mentored an intern to develop a failure injection framework and automating tests

Distributed SystemsAnalytics InfrastructureMonitoringAlerts

Lightbeam.ai

Co-Founder

Nov 2020 – Jun 2021 · 7 mos · Palo Alto, California, United States

Build initial product, hired a stellar team and raised seed funding. Managed a team of 20 and also wrote code and QA.
Keywords: Named entity recognition/ Document Layout Analysis/ Data Catalog/ Data governance / Database ABAC proxy/ Presto/ DB wire protocol / celery / kubernetes / hasura

Product DevelopmentTeam ManagementSeed FundingData Governance

Software Engineer

Jul 2012 – Aug 2013 · 1 yr 1 mo · San Francisco Bay Area

Engineer in Project Voldemort. Worked in a critical infrastructure team.
Some major things i worked on :
Map reduce jobs for Hadoop and Avro for the read-only stores:
https://github.com/abh1nay/voldemort/tree/new-build-and-push

HadoopMapReduceJavaAvro

Stealth startup

Intern

Dec 2011 – Mar 2012 · 3 mos · San Francisco Bay Area

Worked with a really early stage stealth mode cloud storage security startup. Duties involved designing and prototyping of the alpha releases.
Technologies: Java/ Android/ Html5

Data ETLJavaHadoopPigAvroHive

Engineering Intern

Jun 2011 – Sep 2011 · 3 mos

Worked as an intern in the data services group.
Worked on a couple of projects
The first project involved data ETL using Aster Data, Java, Hadoop, Pig, Avro and Hive. Wrote a couple of UDFs for the transformations.
The second project involved a proof of concept dashboard for capturing and visualizing key metrics .
The visualization layer involved state of the art pseudo 3d transforms for generating 3d cubes,protovis and jquery svg for generating the charts and Tag Clouds. The services layer was implemented using Java and Jersey. Implemented a thread safe, cached store for holding the query and results to boost performance.

Stanford university

3 roles

Research Assistant

Jan 2011 – Jun 2012 · 1 yr 5 mos

I was a part of Professor Monica Lam's mobisocial group
Publications:
Effective Browsing and Serendipitous Discovery with an Experience-Infused Browser
Sudheendra Hangal, Abhinay Nagpal, and Monica S. Lam
To appear in Proceedings of the 2012 International Conference on Intelligent User Interfaces (IUI)
Friends, Romans, Countrymen: Lend me your URLs.
Using Social Chatter to Personalize Web Search.
Abhinay Nagpal, Sudheendra Hangal, Rifat Reza Joyee, and Monica S. Lam
To appear in Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW)

Geostatistical ModelingKernel Techniques

Graduate Student - Masters in Computer Science

Sep 2010 – Jun 2012 · 1 yr 9 mos

Specialisation: Databases
Courses : Database Systems, Parallel/Distributed Databases, Operating Systems, Database System Implementation, Machine Learning, Data Mining, Parallel programming, Programming Languages , Object oriented Modeling and Simulation, Research project in social and mobile networks
I am pursuing a research study in Professor Monica Lam's group in the areas of decentralized social networks and data mining
You can see some of the work I was been involved in at:
http://mobisocial.stanford.edu/musemonkey/RNN
http://mobisocial.stanford.edu/musegroups
http://mobisocial.stanford.edu/socialflows

Database SystemsMachine LearningData Mining

Research Assistant

Sep 2010 – Dec 2010 · 3 mos

Implementing the front end / uncertainty module for the Stanford Geostatistical Modeling Software (SGeMS).
http://sgems.sourceforge.net/
Spatial uncertainty for stochastic processes is modeled using kernel techniques to aid scientific computing and oil reservoir modeling.
Models generated by stochastic spatial simulation are mapped from metric space onto feature space via multidimensional scaling, then clustered for model selection.

JavaAndroidHTML5

Ibm

Software Engineer DB2

Dec 2007 – Aug 2010 · 2 yrs 8 mos

Working in highly technical environments, operating systems, and information warehouses

Tata consultancy services

Research Intern at Tata Research Design and Development Center (TRDDC)

Jun 2006 – Apr 2007 · 10 mos

Was offered a much coveted annual internship. I worked with senior scientists in a project to automatically generate test cases , test data and managing heterogenous data sources.
This has been implemented using Java and Eclipse framework