Harsh Rathi

CTO

Hyderabad, Telangana, India11 yrs 9 mos experience

Highly Stable

Key Highlights

Decade of experience in distributed systems and data engineering.
Led significant projects in Azure VMware Solution and supercomputing.
Expert in microservice architecture and job orchestration.

Stackforce AI infers this person is a seasoned Engineering Leader in SaaS with expertise in distributed systems and data engineering.

Contact

Skills

Core Skills

Engineering LeadershipDistributed SystemsMicroservice ArchitectureSupercomputingKubernetesData ProcessingApache Spark

Other Skills

Advanced AnalyticsAlgorithmsAssessment ServiceAzure VMware SolutionBig DataBudgetingBusiness Case ServiceCC++Data AnalysisData ConsistencyData ModelsData StructuresData Volume ManagementDatabases

About

Engineering Leader with decade of experience in distributed systems, data engineering, data science and supercomputing.

Experience

Salesforce

Engineering Leader

Jan 2025 – Present · 1 yr 2 mos

Engineering LeadershipTechnical LeadershipDistributed Systems

Microsoft

Engineering Leader

Dec 2019 – Jan 2025 · 5 yrs 1 mo

Azure Specialized - Azure VMware Solution (AVS)
Envisioned, spearheaded the execution of milestones across 4 distinct microservice architecture based verticals in AVS Ecosystem
Job Orchestration and Self Service Platform - seamless job orchestration enabling self-service for users
Business Case Service and Assessment Service - improving decision-making processes and reducing analysis time
AVS on Arc - ensuring seamless interoperability and extended functionality in Azure, boosted user adoption
AVS Job Orchestration and Self Service Platform
Spearheaded design and implementation of new microservice architecture
Created a distributed, highly available service automating lifecycle for various AVS jobs
Automated the onboarding process for partners, cutting onboarding time
Designed constraints-based algorithmic scheduling, optimizing resource allocation and reducing scheduling conflicts
Designed and delivered a pipeline for automated customer notifications across multiple channels for job state to AVS customers improving satisfaction
Enabled user self-service features, leading to increase in efficiency and a reduction in support requests.
Designed robust protocols for managing and mitigating failures for the AVS jobs running in customers’ private cloud
Azure Specialized - Odyssey
Architected control plane of supercomputing services for OpenAI’s ChatGPT Service
Led a team to develop a Kubernetes-based microservices architecture for scalable control plane
It ensures reliability and fault tolerance through robust failover mechanisms and real-time monitoring
Ensured 99.99% service availability while handling data volume of 500 GBs/hour

Azure VMware SolutionMicroservice ArchitectureJob OrchestrationSelf-Service PlatformBusiness Case ServiceAssessment Service+3

Adobe

Computer Scientist

Jul 2014 – Dec 2019 · 5 yrs 5 mos · Noida, Uttar Pradesh, India

Led the development of a new Processing Engine to stitch and process multiple datasets using Apache Spark to provide a unified view of data.
Designed a domain-specific language for processing instructions and implemented its compiler to convert it into Apache Spark SQL, improving data processing efficiency
Established Standard Data Models to represent complex dataset relationships, improving data consistency and enabling advanced analytics.

Apache SparkData ProcessingData ModelsData ConsistencyAdvanced Analytics