---
title: "Keerthana Vegesna - Member of Technical Staff - Backend & Platform in Vancouver | Tal"
description: "Meet Keerthana Vegesna, Platform Engineer | Purdue CS based in Vancouver. AI stack includes antigravity, claude, and codex. Explore public work links including kvegesna.vercel.app."
image: "https://tal.club/meet/keerthana-vegesna/share-image"
---

# Keerthana Vegesna on Tal

## Headline

Platform Engineer \| Purdue CS

## About

I am a Backend and Platform Infrastructure Engineer dedicated to building resilient AI application infrastructure, agent orchestration pipelines, and low\-latency distributed backend services\. My focus is bridging the gap between low\-level container runtime environments and production\-grade AI applications\. With a B\.S\. in Computer Science from Purdue University and production experience scaling platforms across stealth startups, I specialize in architecting asynchronous ingestion pipelines, semantic retrieval architectures, and cloud observability systems\. Core Engineering Competencies: • AI & Retrieval Infrastructure: Agent Orchestration \(ADK\), RAG Pipelines, Vector Search \(PostgreSQL, pgvector, PostGIS\), Async Ingestion, Redis Caching\. • Platform & Containerization: Kubernetes, k3s, containerd, Docker, Linux systemd, Edge Automation, System Diagnostics\. • Cloud & Distributed Systems: AWS \(ECS, Lambda, S3, SQS, CloudWatch\), Microservices, RESTful APIs, Fault\-Tolerant Async Workflows\. • Languages & Frameworks: Python, TypeScript, SQL, C/C\+\+, FastAPI, Next\.js, React\.

## Location

Vancouver

## AI stack

antigravity

claude

codex

notion

claudecode

huggingface

## Work experience

Member of Technical Staff \- Backend & Platform at Stealth Startup, Jul 2026 \- Present · 5 mos, Hyderabad, Telangana, India, ApexFlo\.AI • Architected and operated multi\-node Kubernetes infrastructure \(k3s, containerd\) across dedicated Intel and NVIDIA hardware, managing container registries and custom scheduling resources for high\-throughput AI workloads\. • Engineered Linux\-based edge automation services using Go, Python, systemd, and OpenCV to maintain sub\-10ms execution latencies across physical hardware environments\. • Ensured production service availability through kernel\-level resource optimization, container runtime debugging, and automated failure recovery pipelines\.

Platform and AgentOps Engineer at Emvo, Oct 2025 \- Jan 2026 · 4 mos, Hyderabad, Telangana, India, • Optimized production AWS cloud services through enhanced monitoring, CloudWatch metrics, operational automation, and developer tooling, significantly reducing API response latency\. • Engineered backend agent orchestration workflows using Agent Development Kits \(ADK\), integrating LLM tool execution with external REST APIs, authentication protocols, and state management systems\. • Investigated and resolved critical production incidents involving asynchronous execution failures, API timeouts, and cloud infrastructure bottlenecks\. • Built and optimized data ingestion and retrieval pipelines for vector\-based search, improving response relevance and system performance\.

Web Developer at Purdue University \| John Martinson Honors College, Jan 2024 \- May 2025 · 1 yr 5 mos, West Lafayette, Indiana, United States, • Maintained production campus web services and automated CI/CD deployment pipelines across 40\+ web properties, cutting update release overhead by 45%\. • Trained and mentored student developers in CMS deployment workflows, teaching web architecture principles and organizing sprint plans\.

Software Engineering Intern at Cummins Inc\., Jun 2022 \- Aug 2022 · 3 mos, Indianapolis, Indiana, United States, • Monitored and debugged distributed AWS\-based workflows, building custom CloudWatch dashboards, S3 storage pipelines, and Lambda functions to reduce MTTR for cloud service failures\. • Automated departmental data transfer flows across asynchronous message queues \(SQS\), improving operational speed and eliminating manual transfer errors\.

Undergraduate Teaching Assistant at The Data Mine \- Purdue University, Aug 2021 \- Jun 2022 · 11 mos, West Lafayette, Indiana, United States, Mentored 600\+ students in Python, R, Bash, Unix, and SQL data pipelines, leading lab sections and improving project completion rates\.

Undergraduate Data Science Researcher at The Data Mine \- Purdue University, Aug 2021 \- Jan 2022 · 6 mos, West Lafayette, Indiana, United States, Developed automated inventory tracking and Python data pipelines using SQL, AWS S3, and Databricks to process operational research data\.

## Education

Bachelor's degree, Computer Science, Purdue University

High School, Mathematics and Computer Science, Delhi Public school Bangalore East

## Public links

- kvegesna\.vercel\.app: https://kvegesna\.vercel\.app/

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

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