Ganesh Sahu

Co-Founder

Hyderabad, Telangana, India4 yrs 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 30% improved platform resilience through architecture design.
  • 60% infrastructure cost reduction via virtualization.
  • 70% faster data pipelines in clinical analytics.
Stackforce AI infers this person is a highly skilled architect in SaaS and Fintech, specializing in distributed systems and AI/ML platforms.

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Skills

Core Skills

Distributed SystemsCloud & Platform ResilienceAi/ml Engineering

Other Skills

NeurosciencePsychologyAWSCloud-native applicationsSecurityResilienceDatabase VirtualizationContainersScalabilityEfficiencyMachine LearningSolution ArchitectureSaaSCloud-native architecturesAvailability

About

First Principles Thinker building and scaling global distributed systems and AI/ML platforms for mission-critical products. Ex-VMware, with a proven record of architecting low-latency, fault-tolerant, and cost-optimized platforms that deliver measurable impact at scale. Selected Achievements Improved platform resilience by 30% through resilient architecture design and platform-level fault tolerance — helping teams achieve high availability and resilience across databases, APIs, and caching layers 60% infrastructure cost reduction through API and database virtualization for testing. 40% reduction in developer tooling overhead with GenAI plugins for IntelliJ/PyCharm. 70% faster data pipelines in clinical analytics via optimized AWS batch and streaming architectures. Core Areas of Expertise Distributed Systems: Kafka, Cassandra, gRPC, WebSockets, TCP/IP, multi-region failover, horizontal scaling. AI/ML Engineering: RAG pipelines, LLM observability, production ML inference, GPU acceleration. Cloud & Platform Resilience: AWS, Kubernetes, serverless, cost-performance optimization, API virtualization. Technical Leadership: Zero-downtime migrations, roadmap ownership, architecture reviews, mentoring. I specialize in reverse-engineering black-box systems and leading cross-functional teams through high-stakes architecture decisions — transforming complex engineering challenges into systems that are predictable, resilient, and built to last.

Experience

4 yrs 3 mos
Total Experience
2 yrs
Average Tenure
2 mos
Current Experience

Self-employed

Independent Researcher

Mar 2026Present · 2 mos

  • Exploring the intersection of neuroscience, economics, and psychology to understand systems. Applying insights to product thinking, leadership, and communication.
NeurosciencePsychology

Jpmorgan chase & co.

Staff || VP (Lead) || Core Platform Engineering

Jan 2024Mar 2026 · 2 yrs 2 mos · Hyderabad, Telangana, India · On-site

  • Worked on core framework for 8,000+ microservices, enhancing integration, security, and resilience for cloud-native applications.
  • Standardized encryption, observability, and fault tolerance, allowing engineers to focus on building high-performance systems.
  • Database Virtualisation project using containers for improved scalability and efficiency.
Distributed SystemsAWSCloud & Platform Resilience

Vmware

Senior Engineer

Jan 2022Dec 2023 · 1 yr 11 mos · Bengaluru, Karnataka, India

  • 1. Deliver highly scalable and highly available (99.99% uptime) SaaS services across cloud and data centers using cloud-native architectures .
  • 2. Evolve technology roadmaps and engineer solutions for SaaS subscription commerce, SaaS on-demand cloud services, mobile app development, and CMS (Content Management System) aligned with VMware's SaaS transformation strategy.
Machine LearningSolution ArchitectureAI/ML EngineeringCloud & Platform Resilience

Education

CV Raman College of Engineering (CVRCE), Bhubaneswar

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