Rohit Gandhe

CEO

Palo Alto, California, United States24 yrs 2 mos experience
Highly StableAI Enabled

Key Highlights

  • Founder & CEO with deep expertise in AI and cloud solutions.
  • Proven track record in building scalable software products.
  • Expert in leading teams and driving digital transformation.
Stackforce AI infers this person is a SaaS and Fintech expert with a strong focus on AI-driven solutions and cloud architecture.

Contact

Skills

Core Skills

Cloud ComputingArtificial Intelligence (ai)Digital TransformationElasticsearchAws Data Migration ServiceAws Cloudformation

Other Skills

AWS S3AWS RedshiftAWS GlueDynamoDBAWS LambdaKibanaNeo4jInflux DBAWS IoTMicroservicesAmazon DynamodbAWS CognitoMapReduceRepresentational State Transfer (REST)AI Agents

About

Iโ€™m the Founder & CEO of ๐—”๐˜‚๐—ด๐—บ๐—ฒ๐—ป๐˜๐—ผ๐—ฟ ๐—Ÿ๐—ฎ๐—ฏ๐˜€, where we help small to mid-sized companies ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ ๐—ฎ๐—ป๐—ฑ ๐˜€๐—ฐ๐—ฎ๐—น๐—ฒ ๐˜€๐—ผ๐—ณ๐˜๐˜„๐—ฎ๐—ฟ๐—ฒ ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐˜€ without needing to hire a full-stack engineering team in-house. We specialize in ๐—ผ๐˜‚๐˜๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐—ฑ ๐—ฑ๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜ ๐˜„๐—ถ๐˜๐—ต ๐—ฑ๐—ฒ๐—ฒ๐—ฝ ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฟ๐˜๐—ถ๐˜€๐—ฒ ๐—ถ๐—ป ๐—”๐—œ/๐— ๐—Ÿ, ๐—ฎ๐˜‚๐˜๐—ผ๐—ป๐—ผ๐—บ๐—ผ๐˜‚๐˜€ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€, ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—น๐—ผ๐˜‚๐—ฑ-๐—ป๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ๐˜€. Our engineering teams are fluent across ๐—”๐—ช๐—ฆ, ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—–๐—น๐—ผ๐˜‚๐—ฑ, ๐—ฎ๐—ป๐—ฑ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ, and weโ€™ve delivered everything from LLM-powered SaaS platforms to robust internal tools that automate high-friction workflows. We move fast, write clean code, and deploy into modern CI/CD pipelines with tight feedback loops. I also serve as a ๐—ณ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—–๐—ง๐—ข for startups and growth-stage businessesโ€”owning product strategy, system design, team formation, and vendor management. I work directly with founders to de-risk technology decisions and build scalable systems that don't just workโ€”but evolve with the business. If you need to move fast on an AI-native product, modernize legacy infrastructure, or build something from zero with the right mix of performance and pragmatism, letโ€™s talk.

Experience

24 yrs 2 mos
Total Experience
4 yrs 2 mos
Average Tenure
1 yr 1 mo
Current Experience

Decode finance

Co-Founder & CEO

May 2025 โ€“ Present ยท 1 yr 1 mo ยท Palo Alto, California, United States ยท On-site

Atlassian

Technical Team Lead - Augmentor Labs

Mar 2022 โ€“ Nov 2022 ยท 8 mos ยท Mountain View, California, United States ยท Hybrid

  • Bring your own key (BYOK) for Elasticsearch for Jira and Confluence products
  • BYOK enables Atlassian to implement encryption at the tenant level where each tenant's data is encrypted with their own key and enables them to revoke keys at any time to revoke access. This encrypts data such that even Atlassian doesn't have access to the tenant's data. Moreover, in case of a data breach, the offender can't get hold of all data because each tenant's data is encrypted with a different key.
Elasticsearch

Bill

Consultant - Augmentor Labs

Nov 2018 โ€“ May 2020 ยท 1 yr 6 mos ยท Palo Alto, California, United States ยท On-site

  • PoC on moving large data sets using AWS Data Migration Service
  • Created microservices for Transaction Fraud detection for financial transactions
  • Implemented oAuth for services and consumer login using AWS Cognito
AWS Data Migration ServiceAWS LambdaMicroservicesAmazon Dynamodb

Levi strauss & co.

Technical Team Lead - Augmentor Labs

Mar 2018 โ€“ Nov 2018 ยท 8 mos ยท San Francisco, California, United States ยท On-site

  • Moved large and complex data workloads to the cloud
  • Created a low-latency data pipeline that moves site visit data from Signal to Data lake
  • Created various microservices to expose Inventory, Order, and Product data for internal and external stakeholders
  • Created personalization services and a recommendation engine for recommending relevant products to consumers on Levis.com
ElasticsearchAWS LambdaAmazon DynamodbAWS CloudFormation

Augmentor labs

Founder and CEO

Jan 2016 โ€“ Present ยท 10 yrs 5 mos ยท Palo Alto, California, United States ยท Hybrid

  • CLOUD | AI | DIGITAL
  • In the past couple of years, we've
  • Built a Data Lake on S3 and a Data Warehouse on Redshift.
  • Built an ETL pipeline using AWS Glue and other technologies
  • Built APIs using DynamoDB and ElasticSearch using Serverless technologies such as Lambda and API gateway.
  • Built various executive and marketing dashboards using Kibana.
  • Built PubSub and Peer to peer messaging platform for enterprise integrations.
  • Built a recommendation engine using Neo4j collaborative filtering queries.
  • Built IoT data platform using Influx DB and AWS IoT core.
  • Did a PoC on Hyperledger blockchain
Cloud ComputingDigital TransformationArtificial Intelligence (AI)

Alibaba group

Director, Engineering - Search & Data Science

Aug 2014 โ€“ Aug 2015 ยท 1 yr ยท San Mateo, CA

  • Platform
  • Migrated Catalog, Inventory, Cart and Pricing data to a NoSQL from RDBMS for scalability and ease of development
  • Introduced a unified pub-sub based messaging system, which seamlessly integrates various internal and external systems
  • Search
  • Significantly improved search relevance using ML and other ranking algorithms.
  • Data Science
  • Introduced Hadoop ecosystem for Clickstream and other data analysis
  • Introduced Machine Learning for classifying products and increased search relevance
  • Increased Google PLA feed acceptance rate from 26% to 85% by improving data quality through attribute extraction.
  • Created a social graph of Customers and Shops to create a unique interaction between the two using follower, feed paradigms.
MapReduceRepresentational State Transfer (REST)

Sears holdings corporation

3 roles

Senior Manager, Engineering

Promoted

Apr 2012 โ€“ Jul 2014 ยท 2 yrs 3 mos ยท Redwood City, CA

  • Rebuilt Sears and Kmart OMS platforms from scratch. We migrated all functionality from Websphere and DB2 to an open source platform consisting of JBoss and MySQL.
  • In this position, some of my specific accomplishments include:
  • Creating a scalable OMS platform using Database Scaling.
  • Creating a highly robust and fast Search Infrastructure using Solr.
  • Converting application from single-tenant to multi-tenant application using SOA.
  • Creating a team of highly motivated self-sufficient engineers at Sears on-shore and off-shore facilities.
  • Evangelizing various scaling and SOA strategies to better systems across the organization.
  • We also built Transaction Risk Management System, a first at Sears. As part of TRMS initiative, we are proving software systems using machine learning that identify and prevent fraud and abuse. TRMS will leverage Machine Learning algorithms like Support Vector Machines and Artificial Neural Networks for classifying transactions based on probability of fraud.
MapReduce

Engineering Manager, Order Management and Search Systems

Promoted

Jul 2009 โ€“ Mar 2011 ยท 1 yr 8 mos

  • Post order systems along with various Search Initiatives for Catalog management - Sears Marketplace.
  • I managed a team of Architects and a Sr. Developers in California and two off-shore locations - Minsk, Belarus and Trivandrum, India.

Search Architect

Aug 2008 โ€“ Jul 2009 ยท 11 mos

  • Created a POC with solr as a service, which eventually grew into a 2000 node cluster serving all content on Sears.com and KMart.com

3m public safety- alpr technology

2 roles

Principal Engineer

Feb 2005 โ€“ Jul 2008 ยท 3 yrs 5 mos ยท Michigan

  • Designed and deployed parking infrastructure at JFK, LGA and EWR airports. This constituted a J2EE cluster interfacing with embedded systems in various devices for access and revenue control.

Senior Software Engineer

Mar 2002 โ€“ Jan 2005 ยท 2 yrs 10 mos ยท Michigan

Ford motor company

Software Engineer

Jun 2000 โ€“ Feb 2002 ยท 1 yr 8 mos ยท Dearborn, Michigan, United States

  • Built the very first web-based self-service HR System. Integrated with Peoplesoft backend and exposed functions on the web.

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