Anuj G.

CTO

San Francisco, California, United States15 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led the development of a Product Lifecycle Management system.
Spearheaded Generative AI adoption, reducing man-hours significantly.
Expert in building scalable distributed systems.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in E-Commerce and Distributed Systems.

Contact

agupta@fanatics.com LinkedIn

Skills

Core Skills

Team LeadershipE-commerceSoftware DevelopmentLeadership

Other Skills

JavaScalaGoPythonGraph-QLCassandraMySQLPostgresParquetStar-RocksKafkaDockerSpring BootNetflix ConductorTemporal

About

-- Publication :- Secure Data Storage and Retrieval in the Cloud. Developed framework on hadoop and hive. -- Academic - MS from University of Texas at Dallas. -- Professional Experience in Java Development , Scala,Spring , Ajax, XML ,ruby -- Experience in Distributed Programming , Multi-threaded programming , Object Oriented Programming , Map-Reduce programming. -- Experience in Service Oriented Architecture. SOA , WSDL design Rest Services. -- Experience in MVC Architecture in Spring , Raptor -- Mobile Application Development - Google Doc App in Android. -- Software Configuration Management Tools (SCM) - GIT , Clear Case , Maven -- Algorithms design and development. -- DataBases - Mysql , Mongo DB , Cassandra , zookeeper -- Operating Systems: Windows, Linux/Unix, Mac. -- Complete SDLC development - Scrum and Agile development , Continuous Integration , working across teams to develop common product -- Tools - Eclipse , Netbeans , Tomcat , Germino , Rally , JIRA , JAX-B,Jersy -- Certification - Sun Certified Java Programmer -- DataCenter Mangement:- Vsphere,Vcloud Director,Vagrant,Puppet,Mesos,Marathon,Cassandra,Docker,Container Java, Scala, Go, Python, Kafka, Micro-Services, Cassandra, MySQL, Spark 2.3x, Hive ,Parquet ,Aws S3, Lambda, EC2, ECS,EMR, Redshift, Docker, Containers, Spring Boot, Netflix Conductor, Hystrix Interests -- BIG data , Data Mining, Back End Services.

Experience

15 yrs 7 mos

Total Experience

3 yrs 1 mo

Average Tenure

9 yrs 11 mos

Current Experience

Fanatics

2 roles

Director of Software Engineering

Promoted

Mar 2026 – Present · 2 mos · On-site

E-CommerceTeam Leadership

Senior Software Engineering Manager

Jun 2016 – Mar 2026 · 9 yrs 9 mos · On-site

Product Information Management
Managing a team of engineers to develop a Product Lifecycle Management system for Fanatics' Global Merchandising and Business Management, streamlining item setup, content, images, and assortment management enhancing competitive advantage in product and customer experiences.
Spearheaded the adoption of Google Gemini Generative AI for product content creation and auditing, reducing man-hours.
Architected a Product Information Feed System to provide real-time product data to vendors and ad publishers, leveraging daily Spark pipelines
AD-Tech
Architected an item price change event system to manage price updates for 9 million items across 1,000 sites, enabling real-time updates on ad publisher platforms within 5 minutes
Optimized ETL pipelines on Redshift with Spark, accelerating ad performance reporting in MicroStrategy
People Leadership
Collaborated with leadership, product management, and stakeholders to create a 6-month product roadmap with key KPIs, translating it into actionable Tech OKRs for team alignment and focus.
Streamlined the sprint process, implementing efficient planning and review practices that reduced cycle times and improved team velocity , enabling faster feature delivery.
Languages: Java, Scala, Go, Python, Graph-QL
Databases: Cassandra, MySQL, Postgres, Parquet, Star-Rocks
Tools: Kafka, Docker, Spring Boot, Netflix Conductor, Temporal, Spark 3.x
Cloud: AWS (S3, Lambda, EC2), Redshift, EMR
Others: Microservices, Agile, Gen AI, Distributed Systems

Software DevelopmentLeadershipJavaScalaGoPython+19

Vmware

MTS-3

Jul 2014 – Jun 2016 · 1 yr 11 mos · San Francisco Bay Area

Distributed Systems.
Messaging Platform.
Global Cassandra Cluster.
Scala/Akka.
Deployment Pipeline using Docker.
Register Services using zookeeper

Distributed SystemsMessaging PlatformCassandraScalaDocker

Ebay

Software Engineer 2

Jan 2012 – Jul 2014 · 2 yrs 6 mos · San Francisco Bay Area

Product Development in Foundations Team(CommerceOS).
Building tools and standards for ebay services and assets.
Product Development in Shopping Cart Team(Checkout Platform).
Shopping cart is a key component of ebay checkout platform as it is used by million of customers of ebay every day. Everyday we have a new challenge to give our customers new features and improve the existing features. We follow SCRUM model that means there is a release every 2 weeks. I have developed end to end features for shopping cart.
Worked on back end SOA Services in java for Shopping Cart. This includes WSDL design , Java development , multi threaded programming , Data base clean up batch , consuming other services of ebay , talking to multiple teams gathering their requirement for WSDL , algorithm design for various features , A/B Testing for features. This service has clients like web shopping cart and Mobile shopping cart.
Worked on shopping cart web application.I have developed new features like extended sign-in on cart page.Some of the features are in A/B testing mode. . This includes consuming shopping cart services , Designing models , java development , controller design , spring , raptor , working with UI engineers , worked with different teams to show features like cart count , authentication polices , merchandizing.
The Global Shipping Program (GSP) at eBay streamlines this process for both by automatically including all shipping and customs charges in the buyer's checkout purchase total and reducing the seller's effort to a simple domestic US shipment.
I worked on very low level Order Management Service for GSP. My work included changing the existing service and integrating it with checkout and shipping services. This includes WSDL design , Java development , Database access layer of ebay.

JavaSOA ServicesWSDL DesignMulti-threaded ProgrammingDatabase Management

Research in motion

Software Developer Intern,Mobile Advertising Platform(R&D)

Jan 2011 – Aug 2011 · 7 mos · San Francisco Bay Area

Working in Platform Engagement Team.
I am currently working on developing a java-script Adsdk for web works application development.
Development and testing of java-script library for first release of web-works Adsdk.
Developed test app for java Adsdk.
Wrote ant build scripts for SCM builds for java and web works -Adsdk.
Developing callback framework for Adsdk so that developer can write his own callback functions for events Banner events.
Helping in implementing ORRMA standard in Adsdk for ad developers.
Prototyping different UX for Ad SDK for all platforms.
Helping in doing a proof of concept for hosting local ad network -Helped SV&V in testing cycles for on time release of projects

JavaScriptJavaAdsdk DevelopmentTesting

The university of texas at dallas

2 roles

Graduate Student (C.S)

Sep 2010 – Sep 2010 · 0 mo

I am currrently making an android app which fetches google document from google cloud and give user option to secure it with his own key.
Develop google doc protocol using google.api.client.googleapis to get the list of google docs ,download google doc ,upload google doc and create google doc on Android.
1) Android Google Doc app.
2) Web Based Meeting Scheduler System
3) Forward-Only Uni-Directional Routing (Computer Networks) : using Java and Unix.
4) Skeen's Alogrithm for Causal Message Ordering : Java, Socket Programming
5) Raymond Algorithm for Mutual Exclusion : Java, Socket Programming

Android DevelopmentJavaGoogle API

Student Worker,Research

Apr 2010 – Dec 2010 · 8 mos

Developed a web framework that provides secure access to Hadoop Distributed File System (HDFS) files stored as tables in Hive. Framework also give basic query re-writing to user i/p query. Framework is tested on 19 node-cluster in cloud computing lab.
Developing a web application for semantic web which takes user feedback for different ontologies as input and run label propagation algorithm (machine learning algorithm) to assign different concepts its appropriate levels such that we can match different concepts based on that level.

HadoopWeb Framework DevelopmentMachine Learning