Kubeflow Core Contributor • Available for Internships

Ayush Gupta

Software Engineer specializing in Scaling Intelligence with Distributed RAG Systems and production-grade AI infrastructure.

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Professional Overview

SystemsEngineering&AI

Executive Summary

I am Ayush Gupta, a Software Engineer specialized in building production-ready Gen AI systems and high-concurrency backend infrastructure.

Currently engineering distributed RAG systems and contributing to Kubeflow core. I solve complex scaling challenges at the intersection of systems engineering and large language models.

B.Tech Graduation

2028 @ VIT Bhopal

Primary Target

FAANG Engineering

Gen AI & RAG

Architecting Retrieval-Augmented Generation systems with vector embeddings, semantic search, and prompt engineering.

ML Infrastructure

Optimizing training pipelines and serving infrastructure for large-scale models using Kubernetes and Kubeflow.

Backend Systems

Designing distributed architectures with a focus on high throughput, low latency, and efficient data processing.

Computer Vision

Implementing real-time spatial and temporal analysis systems using deep learning for surveillance and safety.

Engineered With

LangChainKubernetesPyTorchgRPCGoNext.jsTypeScriptFAISSPineconeDockerRedis

Technical Track Record

WorkExperience

Kubeflow

Open Source Contributor

Contributing to Katib (AutoML) and Docs-Agent. Fixed HuggingFace trainer startup crashes, ensured backward compatibility for empty payloads, and optimized backend retrieval for the documentation agent.

DSC Winter of Code

Contributor

Contributed to various open-source repositories, focusing on bug fixes, code maintainability, and passing automated CI/CD checks during technical reviews.

Recognition

TechnicalRecognition

Open Source Architect

Kubeflow

Successfully merged core architecture and bug-fix pull requests into Kubeflow (Katib and Docs-Agent), impacting a global ML infrastructure platform.

DSC Winter of Code 2026

Google Developer Student Clubs

Selected from a highly competitive applicant pool to maintain and scale community-driven open-source repositories.

#T20DSAChallenge Competitor

Coding Challenge

Completed an intensive data structures and algorithms challenge, demonstrating proficiency in complex problem-solving.

Technical Certifications

Coursera & Google Cloud

Applied Machine Learning in Python (U. Michigan) & Introduction to Generative AI (Google Cloud Skills Boost).

Impact

Leadership&Roles

Core Member - Technical Team

TechnoMech Club, VIT Bhopal

Architected and deployed internal campus tools for 5,000+ users. Improved system load times by 82% and established strict version control practices as a lead technical member.

Core Member - Technical Team

MATRIX Club, VIT Bhopal

Collaborate with team members to organize coding competitions and technical workshops. Mentor junior students in Python programming and Data Structures.

Systems Engineering