---
title: "Nancy Saxena - Driver Validation Engineer in Chennai | Tal"
description: "Meet Nancy Saxena, Driver Validation Engineer @ Intel based in Chennai. AI stack includes claude code, github copilot, and hugging face."
image: "https://tal.club/meet/nancy-saxena/share-image"
---

# Nancy Saxena on Tal

## Headline

Driver Validation Engineer @ Intel

## About

I build and own the CI/CD infrastructure behind Intel's SOF audio and GPU driver validation pipelines — LLM\-grounded failure\-analysis tooling, Ansible\-driven fleet provisioning across 40\+ hardware test boards, GitHub Actions workflows shared by 13\+ pipelines\. As a Driver Validation Engineer, I root\-cause distributed\-systems failures — race conditions, silent no\-ops, proxy/TLS issues, network\-boot misconfigurations — in Python, Ansible, Linux, and GitHub Actions\. Recent work: an LLM\-grounded CI failure\-analysis platform, a DUT reservation system \(closed a command\-injection vulnerability\), and a fix for a silent kernel\-version\-mismatch defect that was corrupting validation results\. Previously, as a GPU Software Development Intern: a MongoDB\-based DSL for non\-programmer validation reporting, an executive Power BI KPI scorecard, and a \~1\.5M\-record database migration\. Core stack: Linux, Ansible, GitHub Actions, CI/CD, Python, MongoDB, Docker, Redis, SSH/TLS, Kernel/GRUB debugging, Sound Open Firmware \(SOF\), ALSA\. Interested in systems engineering, CI/CD infrastructure, and applying LLMs to make engineering operations autonomous\. Open to connecting with people building hardware validation infrastructure\.

## Location

Chennai

## AI stack

claude code

github copilot

hugging face

langchain

## Work experience

Driver Validation Engineer at Intel, Jun 2026 \- Present · 4 mos, On\-site, • Architected LLM\-grounded CI failure\-analysis platform \(GitHub Actions, Python\) — automated root\-cause reports \+ HTML email digests, eliminating manual log review across \~10 daily validation workflows; designed roadmap for MCP\-based auto\-ticketing \(Jira/HSDES\) and token\-budget capping\. • Root\-caused silent kernel\-version\-mismatch defect \(GRUB menu\-matching \+ GitHub Actions operator\-precedence bugs\); merged unified fix across two code paths\. • Root\-caused orphaned Redis process on self\-hosted runners via live SSH debugging; shipped self\-healing lifecycle fix, ending redundant PR re\-triggers\. • Cut hardware test\-bed contention: opt\-in smoke\-test gating, PR matrix trimmed 5→2 systems, fixed runner\-label race condition across 13\+ VMs\. • Built DUT reservation system \(SSH\-only CLI \+ CI integration\) for \~30 shared boards; closed shell command\-injection vulnerability\. • Own CI fleet reliability: \~10 daily workflows/pollers, 40\+ DUTs — crashed\-runner recovery, host\-level network triage\.

GPU Software Development Intern at Intel, Jul 2025 \- May 2026 · 11 mos, Hybrid, • Built Result Filtering API \(OOP, MongoDB\) \+ custom DSL on MongoDB Aggregation Pipeline — non\-programmer validation reporting without code\. • Implemented Validation Guidance reporting: DSL\-based API \+ JSON rule engine; extended for Test Plan coverage tracking and pre\-release gap detection\. • Migrated Account Manager DB user\-role model \(\~1\.5M records\) via SQL script with rollback; containerized service with Docker for secure deployment\. • Built executive KPI Scorecard \(Power BI, automated pipelines\) — validation performance tracking, Intel graphics SKUs vs\. competitor GPUs\. • Delivered end\-to\-end Overclocking \(OC\) reporting pipeline: MongoDB collection, hourly batch ingestion, downloadable reports\. • Diagnosed and fixed SAML/Azure SSO outage — traced expired certificates and misaligned auth URLs\.

Machine Learning Intern at Next Gen Dev, Jun 2024 \- Jul 2024 · 2 mos, Remote, Gained hands\-on experience in machine learning by working on credit card fraud detection, customer churn prediction, and spam SMS detection during a 4\-week remote internship at NextGenDev\. Enhanced skills in data analysis, model development, and predictive analytics\.

Development Intern at KareXpert, Aug 2023 \- Oct 2023 · 3 mos, Remote, During my software development internship, I'm crafting a unique chatbot using LangChain and Llama2\. Showcasing adept prompt engineering, I'm seamlessly blending language models to create dynamic and contextually aware interactions\. Through this internship, I'm honing my skills in cutting\-edge AI technologies while contributing to innovative conversational software solutions\.

Team member at Data Science Club VIT Chennai, Oct 2022 \- Jun 2023 · 9 mos, Chennai, Tamil Nadu, India

## Education

Mtech Integrated, Computer Software Engineering, Vellore Institute of Technology

class 12th, PCM, Girls'​ High School & College, Allahabad

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

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