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/