---
title: "Shayan Azmi - Software Engineer 1 in Greater Bengaluru Area | Tal"
description: "Meet Shayan Azmi, Software Engineer I @ Dell Technologies | AI & Backend Engineer | Amazon ML Summer School 2026 | Google Cloud Agentic AI Day Finalist | Ex-Intern @ Nokia based in Greater Bengaluru Area. AI stack includes claude, langchain, and langgraph. Explore public work links including leetco..."
image: "https://tal.club/meet/shayan-azmi/share-image"
---

# Shayan Azmi on Tal

## Headline

Software Engineer I @ Dell Technologies \| AI & Backend Engineer \| Amazon ML Summer School 2026 \| Google Cloud Agentic AI Day Finalist \| Ex\-Intern @ Nokia

## About

I'm a Software Engineer 1 at Dell Technologies and a B\.Tech Computer Science student at RV University, passionate about building scalable backend systems and AI\-powered applications that solve real\-world problems\. Over the past few years, I've had the opportunity to work with Dell Technologies, Nokia, and multiple startups, gaining hands\-on experience across Backend Engineering, AI Agents, Large Language Models \(LLMs\), Kubernetes, Cloud, and DevOps\. My technical interests lie at the intersection of AI, Backend Engineering, Distributed Systems, and Cloud Infrastructure\. I enjoy building products that are not only technically sound but also create meaningful impact\. Some projects I've particularly enjoyed building include: 🔹 TenantFlow – A tenant management platform introducing the concept of Tenant Scoring to help landlords identify reliable tenants\. 🔹 StudentSync – A platform that generates beautifully designed mark sheets with personalized student insights and automated email delivery\. 🔹 Agentic AI Platform @ Dell Technologies – Built a multi\-agent AI system using LangGraph and LangChain to automate driver selection workflows\. I'm also grateful to have been selected for Amazon ML Summer School 2026, where I'm deepening my understanding of Machine Learning, Deep Learning, Reinforcement Learning, Generative AI, and Large Language Models under the guidance of Amazon Scientists\. I enjoy learning new technologies, participating in hackathons, sharing knowledge, and collaborating on challenging engineering problems\. Always open to connecting with engineers, researchers, founders, and people passionate about building impactful technology\.

## Location

Greater Bengaluru Area

## AI stack

claude

langchain

langgraph

openai

openclaw

windsurf

## Work experience

Software Engineer 1 at Dell Technologies, Aug 2026 \- Present · 2 mos, Bengaluru

Amazon Machine Learning Summer School Scholar at Amazon, Jul 2026 \- Aug 2026 · 2 mos, Remote, • Selected for Amazon ML Summer School 2026, a competitive Machine Learning program conducted by Amazon\. • Selected through a multi\-stage process involving resume screening, Statement of Purpose \(SOP\), and a technical selection test\. • Learning from Amazon Scientists through modules covering Supervised Learning, Deep Neural Networks, Unsupervised Learning, Reinforcement Learning, Generative AI & Large Language Models \(LLMs\), and Causal Inference\. • Strengthening practical Machine Learning skills while collaborating with high\-performing students from across India\.

Software Engineer Intern at Dell Technologies, Feb 2026 \- Jun 2026 · 5 mos, Bengaluru, • Built an agentic AI\-powered driver automation pipeline using Python, LangGraph, LangChain, RAG, and Streamlit to automate platform detection, driver selection, conversion, and integration workflows\. • Architected a 5\-agent workflow incorporating AI\-driven driver selection, human feedback, RAG\-based learning, and automated driver processing, replacing a highly manual workflow\. • Automated the review and processing of 100–200 drivers per platform, reducing platform onboarding time from approximately 3 days to 15 minutes \(12× faster\)\. • Developed a custom INF\-based driver downsizing tool and integrated the solution with Dell’s internal systems for end\-to\-end automation\. • Built a production Streamlit dashboard for pipeline monitoring and learning history, supported by 1,670\+ lines of automated tests\. • Implemented a continuous learning mechanism using human corrections and vector similarity search to improve driver\-selection accuracy over time\.

Full Stack Developer at GovernAIce, Jun 2025 \- Aug 2025 · 3 mos, Berkeley, California, United States, Developed a full\-stack AI compliance platform analyzing documents against HIPAA, EU AI Act, and CPRA\. Built React frontend for file uploads, framework selection, and compliance dashboards\. Created Node\.js and MongoDB backend APIs for document management and gap analysis\. Integrated RAG pipeline for legal insights\.

Software Engineer Intern at Nokia, Apr 2025 \- Nov 2025 · 8 mos, Bengaluru, Deployed KAgent, an open\-source CNCF framework for AI inside Kubernetes, on an on\-prem OpenShift CRC cluster\. Built a custom Kyverno Auditor AI Agent integrated with GPT\-4o to analyze, explain, and auto\-fix Kubernetes policy violations\. Configured ModelConfigs, MCPServers, and Agents via declarative YAML to enable real\-time policy audits, kubectl tool execution, and natural\- language reasoning within the cluster\. Achieved full in\-cluster functionality with double\-tunnel UI access, automated policy validation, and live YAML correction\. Demonstrated complete AI\-driven policy compliance with 100% internal connectivity, real\-time auditing, and secure on\-prem inference\.

DevOps Engineer at OpenGrant Inc\., Jul 2024 \- Aug 2024 · 1 mo, Remote, Resolved backend connectivity issues, configured Docker and Docker Compose for PostgreSQL, pgAdmin, and Django, and executed database migrations\.

DevOps Engineer at AIIRIFY, Jun 2024 \- Dec 2024 · 6 mo, Remote, Managed Amazon EKS clusters for Flask apps, implemented Amazon Cognito for authentication, and designed CI/CD pipelines using Jenkins, Docker, and Kubernetes\. • Automated infrastructure provisioning with Terraform and developed workflows for mail and calendar management\.

AI Engineer at BroadrangeAI, Oct 2023 \- Feb 2024 · 4 mo, Remote, Developed an AI\-driven ad\-generation model using Stable Diffusion, GANs, and VAEs • Co\-authored a research paper: Ad\-Generating Generative AI Models\- A Way Forward To Transform Advertising\.

## Education

Bachelor of Technology \- BTech\(Hons\), Computer Science, Rv university

Delhi Public School \(DPS\)

## Public links

- leetcode: https://leetcode\.com/user7784sl

[View the original profile](https://tal.club/meet/shayan-azmi)

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