Vishal Keswani

CEO

Bengaluru, Karnataka, India10 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in architecting scalable AI systems.
Proven track record in CI/CD for microservices.
Strong background in cloud transformation initiatives.

Stackforce AI infers this person is a DevOps and AI Engineering expert in SaaS and Fintech.

Contact

Skills

Core Skills

Ai EngineeringCloud ComputingDevops

Other Skills

LLMsRetrieval-Augmented Generation (RAG)AWSAzureInfrastructure as Code (Terraform)CI/CDFluxCDTerraformKubernetesFluxDockerHelm ChartsAzure Kubernetes Service (AKS)Shell ScriptingAmazon EKS

About

As a DevOps Engineer and AI Systems Builder, I thrive on solving complex engineering problems and designing scalable, intelligent platforms across cloud and on-premises environments. With experience spanning industries such as Travel & Hospitality and Banking, I bring deep expertise in building resilient, secure, and production-grade systems. My work spans across DevSecOps, large-scale microservices ecosystems, and modern cloud transformation initiatives. I have architected and managed CI/CD frameworks supporting 250+ microservices, implemented GitOps-driven deployments using FluxCD, and built Terraform-based infrastructure pipelines for enterprise-scale environments. Currently, I am developing agentic AI applications powered by LLMs and Retrieval-Augmented Generation (RAG) architectures. This includes designing orchestration workflows, integrating vector databases, optimizing prompt strategies, and deploying secure, scalable AI workloads in cloud-native environments.

Experience

10 yrs

Total Experience

2 yrs 6 mos

Average Tenure

2 yrs 3 mos

Current Experience

Standard chartered

2 roles

Associate Vice President

Promoted

Apr 2026 – Present · 0 mo · Bengaluru · Hybrid

Senior Software Engineer

Dec 2023 – Mar 2026 · 2 yrs 3 mos · Bengaluru · Hybrid

Currently working on designing and building agentic AI applications powered by LLMs and Retrieval-Augmented Generation (RAG) architectures.
Key Responsibilities:
Designing and implementing Agentic AI workflows using LLM orchestration frameworks.
Building RAG pipelines integrating vector databases, embeddings, and contextual retrieval.
Architecting secure, scalable AI workloads on AWS & Azure.
Working on brownfield to greenfield cloud migrations, modernizing legacy workloads into containerized and Kubernetes-based environments.
Implementing Infrastructure as Code (Terraform) for reproducible environments.

LLMsRetrieval-Augmented Generation (RAG)AWSAzureInfrastructure as Code (Terraform)AI Engineering+1

Zscaler

Senior Software Engineer

Jun 2022 – Dec 2023 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Designed and maintained CI/CD pipelines for 250+ microservices across multi-environment deployments.
Implemented GitOps-based release automation using FluxCD, enabling declarative and version-controlled deployments.
Built and maintained enterprise-scale Terraform pipelines to provision and manage cloud infrastructure.
Automated application release workflows, reducing manual intervention and improving deployment reliability.
Integrated security controls into pipelines (SAST, DAST, container scanning, dependency scanning).
Designed branching and environment promotion strategies for controlled releases.
Managed containerized workloads deployed on Kubernetes clusters.
Improved deployment frequency while maintaining high system stability.