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falchatech
Your Future Rule

Who We Are

Falcha Technologies is an AI Infrastructure and Enterprise AI Platform engineering company helping organizations design, build and operate scalable AI platforms.

Our expertise spans GPU and HPC infrastructure, Generative AI platforms, LLMOps, MLOps, Kubernetes, cloud infrastructure, Terraform automation and enterprise AI architecture.

Our Mission

To empower organisations with enterprise-grade AI Infrastructure that is scalable, secure and production ready.


Our Vision

To become a trusted global consulting partner for AI Infrastructure, GPU Computing, HPC and Platform Engineering.


Core Values

Innovation

Engineering Excellence

Customer Success

Security

Transparency

Continuous Learning


We do our best


Core Values

Innovation

Engineering Excellence

Customer Success

Security

Transparency

Continuous Learning





Our Trusted team


Umesh Phendarkar
​Founder & Principal AI Infrastructure Consultant 
​

With nearly two decades of experience in enterprise infrastructure, cloud engineering and platform architecture, Umesh Phendarkar specialises in designing and delivering modern AI Infrastructure, HPC platforms and cloud-native environments.

His expertise includes:

  • AI Infrastructure Architecture
  • NVIDIA GPU Infrastructure
  • High Performance Computing (HPC)
  • Kubernetes & Platform Engineering
  • AWS, Microsoft Azure & Google Cloud
  • DevOps & Infrastructure Automation
  • MLOps & LLMOps
  • Enterprise Linux
  • Cloud Migration & Modernisation
  • Infrastructure as Code (Terraform & Ansible)
  • CI/CD Platforms
  • Observability & Performance Engineering

Throughout his career, he has worked with global enterprises across cloud transformation, automation and scalable infrastructure initiatives, helping organisations accelerate the adoption of AI and cloud-native technologies.

At Falcha Technologies, he focuses on enabling businesses to build secure, scalable and production-ready AI platforms that support machine learning and generative AI workloads.

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