---
title: "Subham Sharma - Software Engineer in Bengaluru | Tal"
description: "Meet Subham Sharma, Software Engineer @ Visa based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/subham-sharma-4/share-image"
---

# Subham Sharma on Tal

## Headline

Software Engineer @ Visa

## About

Backend Software Engineer at Visa specializing in MLOps, cloud\-native architecture, and distributed systems\. I currently focus on architecting and building Visa's next\-generation Machine Learning Platform to AWS EKS, building a cloud\-agnostic Kubeflow stack designed to serve 1,000\+ data scientists\. My expertise lies in developing high\-performance backend services in Golang and Python, designing robust multi\-tenant isolation models, and implementing complex identity federation \(OAuth2/OIDC\) across distributed network boundaries\. Recent highlights include: • Architecting a comprehensive Kubeflow ecosystem \(Notebook, TrainJob, Pipelines, KServe\) on AWS EKS, implementing a custom identity federation chain for secure, zero\-secret workload isolation across multiple AWS accounts\. • Integrating NVIDIA DGX H100 clusters with Run:ai orchestration via custom FastAPI services to streamline GPU workloads\. • Building real\-time monitoring and resource allocation pipelines that reduced failed job submissions by 35% and improved backend API response times by 60%\. I am passionate about tackling complex resource constraints, platform security, and building scalable, developer\-first infrastructure from the ground up\. Top Skills: Golang • Python • Kubernetes &amp; AWS \(EKS\) • Kubeflow &amp; MLOps • Distributed Systems • Identity &amp; Access Management \(OIDC/OAuth2\)

## Location

Bengaluru

## AI stack

claude code

claude

codex

gemini

github copilot

mcp

## Work experience

Software Engineer at Visa, Jun 2024 \- Present · 2 yrs 4 mos, Bengaluru, Karnataka, India, Building and scaling Visa's Machine Learning Platform to support 1,000\+ data scientists, focusing on cloud\-native architecture, multi\-tenant isolation, and backend orchestration\. ☁️ 𝐍𝐞𝐱𝐭\-𝐆𝐞𝐧 𝐌𝐋 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 \(𝐀𝐖𝐒 𝐄𝐊𝐒\): • Architected and engineered Visa's new cloud\-agnostic Kubeflow ecosystem \(Notebooks, Pipelines, KServe, MLflow, Volcano\) on AWS EKS from scratch, successfully replacing the legacy on\-premises platform\. • Implemented cross\-account, per\-user identity propagation between AWS SageMaker Unified Studio \(SMUS\) and the MLP EKS cluster\. Designed a complex federation chain \(AD SCIM → IAM Identity Center → EKS Pod Identity\) enabling secure, user\-scoped data access across VPC boundaries with zero long\-lived secrets\. • Designed a strict multi\-tenant isolation model utilizing per\-user Kubeflow Profiles, namespace\-scoped RBAC, and EFS\-backed persistent storage, ensuring strong workload isolation across shared GPU nodes\. • Built the multi\-tenant auth plane by directly integrating Microsoft Entra ID with OAuth2 Proxy, implementing JWKS validation against the EKS OIDC issuer\. ⚙️ 𝐍𝐕𝐈𝐃𝐈𝐀 𝐃𝐆𝐗 𝐇𝟏𝟎𝟎 &amp; 𝐑𝐮𝐧:𝐚𝐢 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: • Developed a FastAPI orchestration service to abstract the Run:ai API ecosystem, managing complex GPU workloads on DGX H100 clusters\. • Unblocked a 6\-month production bottleneck by auditing and standardizing the OIDC identity bridge between Keycloak and ForgeRock\. 📊 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 &amp; 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐢𝐧𝐠: • Architected a real\-time resource monitoring system \(Golang, Prometheus, Volcano Scheduler\) that tracks 100\+ node clusters, reducing failed job submissions by 75% and saving 20\+ engineering hours weekly\. • Optimized backend concurrency with goroutines and thread\-safe caching, cutting response times by 60%\.

Software Engineer Intern at Visa, Jan 2024 \- Jun 2024 · 6 mos, Bengaluru, Karnataka, India, \-&gt; Designed and built a full\-stack LLM deployment solution using React, Golang, and Python, reducing model deployment time by 90% through a seamless Docker and Kubernetes\-based workflow\. \-&gt; Engineered an intuitive model selection UI with RESTful APIs that supported 10\+ model architectures, enabling easy integration and rapid A/B testing for researchers\. \-&gt; Developed a responsive, real\-time chat interface, enabling researchers to conduct interactive, qualitative evaluations of LLM conversational abilities\.

Software Engineer Intern at Visa, Jun 2023 \- Jul 2023 · 2 mos, Bengaluru, Karnataka, India, \-&gt; Automated the Apache Bigtop RPMs signing process, improving efficiency and reducing manual intervention per release cycle\. \-&gt; Developed an automated system for comparing current RPM versions with previous versions, ensuring compatibility and identifying potential issues before deployment, increasing productivity reducing post\-deployment bugs by 40%\. \-&gt; Analyzed Apache Bigtop build time bottlenecks and implemented targeted optimizations, reducing build time by 20\-30% for each component and saving approximately 45 minutes per build across 8\+ components\.

## Education

Bachelor of Technology, Computer Engineering, Motilal Nehru National Institute of Technology

[View the original profile](https://tal.club/meet/subham-sharma-4)

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