---
title: "Navin Bahadur - Lead Software Engineer in Noida | Tal"
description: "Meet Navin Bahadur, Lead Software Engineer @ Adobe | AI Evaluation & LLM Benchmarking | AutoEval Frameworks | Python Automation | CI/CD Infrastructure | Distributed Systems based in Noida."
image: "https://tal.club/meet/navin-4/share-image"
---

# Navin Bahadur on Tal

## Headline

Lead Software Engineer @ Adobe \| AI Evaluation & LLM Benchmarking \| AutoEval Frameworks \| Python Automation \| CI/CD Infrastructure \| Distributed Systems

## About

I am a Lead Software Engineer at Adobe with 6\+ years of experience building large\-scale automation systems, CI/CD infrastructure, and AI evaluation frameworks\. My recent work focuses on developing evaluation systems for AI\-powered research agents\. I designed and implemented a Python\-based AutoEval framework and scalable LLM\-judge pipelines that benchmark AI models across reasoning, synthesis, and source attribution tasks\. These systems use prompt\-engineered evaluation workflows and multi\-judge consensus to automate qualitative assessment of AI\-generated responses\. Previously, I worked extensively on CI/CD infrastructure supporting Adobe Acrobat PDF processing and tagging pipelines across Windows, macOS, and Linux environments\. I also architected containerized stability testing frameworks and built internal tools that improved automation reliability and debugging efficiency across distributed build environments\. I enjoy building engineering systems that improve developer productivity, automate complex workflows, and enable reliable evaluation of modern AI systems\. Key areas of interest • AI Evaluation & LLM Benchmarking • Automation Infrastructure • Python Engineering • CI/CD Systems • Distributed Systems • Developer Productivity Tooling I’m always interested in conversations around AI systems, automation infrastructure, and large\-scale engineering challenges\.

## Location

Noida

## Work experience

Lead Software Engineer at Adobe, Feb 2025 \- Present · 1 yr 5 mos, Noida, Uttar Pradesh, India, • Designed and implemented a Python\-based AutoEval framework for Deep Research AI agents, defining structured evaluation metrics across research comprehension, multi\-hop reasoning, insight synthesis, and document/web attribution to benchmark performance across LLM systems\. • Built scalable LLM\-judge evaluation pipelines using prompt\-engineered GPT and Claude models, enabling multi\-judge consensus and dataset\-driven evaluation to automate qualitative assessment of AI\-generated research outputs\. • Collaborated with research teams to standardize evaluation workflows for AI research agents, enabling consistent benchmarking and stability comparisons across model iterations\. • Developed heuristic\-based algorithms to extract slide templates, layouts, and styling metadata from PowerPoint files, enabling automated and scalable presentation generation while maintaining design consistency\.

Software Engineer 2 at Adobe, Jul 2021 \- Feb 2025 · 3 yrs 8 mos, Noida, Uttar Pradesh, India, • Managed and optimized CI/CD pipelines for Adobe Acrobat PDF tagging components, integrating automated unit testing, objective quality metrics, and structured error reporting across Windows, macOS, and Linux environments\. • Architected and deployed a containerized Stability Testing Framework using Docker, improving automation reliability and enabling advanced analytics and reporting through Tableau dashboards\. • Improved build reliability by rapidly diagnosing and resolving CI pipeline failures across distributed build environments\.

Software Engineer at Adobe, Sep 2019 \- Jul 2021 · 1 yr 11 mos, On\-site, • Developed an HTML\-based visual diff tool using Python, JavaScript, and HTML to compare Liquid Mode rendering outputs across PDF versions and highlight structural differences\. • Led automation of quality and qualifier pipelines on real Android devices, reducing manual configuration dependency by 50% and improving automated test execution reliability\. • Built internal automation tools to support large\-scale PDF rendering validation workflows\.

## Education

Bachelor of Engineering \- BE, Computer Science, CHANDIGARH UNIVERSITY

[View the original profile](https://tal.club/meet/navin-4)

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