Mukul Nag — Software Engineer

Software Engineer with 4+ years spanning firmware validation and AI-driven automation. At Qualcomm, I'm the sole automation contributor for App Compatibility testing on X Elite ARM-based laptops, having built 4 enterprise tools deployed organization-wide. Previously at AMD, I validated BIOS/UEFI firmware for EPYC server platforms, earning 5 Spotlight Awards. QUALCOMM - AUTOMATION & AI INTEGRATION • Sole Automation Contributor • Built 4 production-ready tools deployed organization-wide • First to integrate LLM-powered analysis into testing workflows • Architected complex multi-agent LLM systems through advanced prompt engineering TOOLS DEVELOPED 1. AI-Driven Test Automation Framework CrewAI multi-agent| faster test creation | 3x coverage | 85-90% self-healing | Natural language → tests | 15+ AI models 2. QCompare - AI File Comparison Replaces Beyond Compare licensing | 75% faster reviews (30min→5min) | 90MB standalone | 50+ editor features | 15+ AI models | Offline-capable 3. Trending Apps Framework MS Store automation | ARM64 architecture detection | 60% time savings 4. AppQompat - Performance Testing Sub-millisecond accuracy launch latency (95%)| Multi-architecture (x86/x64/ARM64) | 70% CPU reduction | 5k+ apps automated testing AMD - FIRMWARE VALIDATION (3 Years) Pre-Silicon BIOS/UEFI Validation for EPYC Turin & Venice Servers • Developed 150+ test cases; automated 120+ reducing manual testing by 40% • Earned 5 Spotlight Awards for bug-free firmware delivery and validation excellence • Validated critical modules: Memory Controller, PCIe, CXL, RAS, Power Management, Interrupt Handling, Platform Security, Bootflow, Caliptra • Architected Python/Bash automation framework integrated with Jenkins CI/CD • Collaborated with Firmware Architects on CPU/GPU microarchitecture (Northbridge, Southbridge, NUMA, I/O, Registers) • Contributed to open-source Platform Security (Caliptra) TECHNICAL EXPERTISE AI/ML: Claude Gemini GPT, CrewAI, LiteLLM , Prompt Engineering, Multi-Agent Systems Automation: PyAutoGUI, PyWinAuto, UI Automation, Test Framework Design Firmware: BIOS/UEFI, Platform Security, Bootflow, RAS, Memory Controller, Power Management, PCIe, CXL Languages: Python, Bash, PowerShell,Tkinter , Jenkins, Selenium, Git Specialization: ARM64 Windows, Performance Testing, Enterprise Tool Development Im passionate about building AI-driven automation solutions, designing robust architectures & delivering measurable business impact through innovative technical solutions.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI-driven automation and firmware validation.

Location: Bengaluru, Karnataka, India

Experience: 3 yrs 11 mos

Skills

Ai/ml
Automation
Firmware Validation
Network Automation

Career Highlights

Sole automation contributor at Qualcomm with 4 enterprise tools.
5 Spotlight Awards for firmware validation excellence at AMD.
Expert in AI-driven automation and performance testing.

Work Experience

Qualcomm

Engineer (1 yr 1 mo)

AMD

System Software Developer (2 yrs 4 mos)

Co-Op (7 mos)

Jaipur Smart City Limited

Student Intern (2 mos)

Smart City Lucknow

Student Intern (2 mos)

Education

Bachelor of Technology Honors (B.Tech Honors) at GCET

10+2 at Air Force School , kanpur

high school at Air Force School ,kanpur

Salesforce Developer Catalyst Plus at Trailhead by Salesforce

Mukul Nag

Software Engineer

Bengaluru, Karnataka, India3 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Sole automation contributor at Qualcomm with 4 enterprise tools.
5 Spotlight Awards for firmware validation excellence at AMD.
Expert in AI-driven automation and performance testing.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI-driven automation and firmware validation.

Contact

Skills

Core Skills

Ai/mlAutomationFirmware ValidationNetwork Automation

Other Skills

PythonCrewAILiteLLMClaudeGeminiGPTPyAutoGUIPyWinAutoTkinterPyInstallerImageHashWindows APIGitBashJenkins

About

Experience

3 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

1 yr 1 mo

Current Experience

Qualcomm

Engineer

May 2025 – Present · 1 yr 1 mo · Bengaluru · On-site

Core Achievement: Sole automation contributor building 4 production-ready tools deployed organization-wide for Windows on ARM validation on Snapdragon X-Elite platforms.
AI/ML Integration & Prompt Engineering
Designed multi-agent LLM system (CrewAI, 5 agents) achieving 70% faster test creation and 3x coverage
Reduced LLM costs by 67% through intelligent prompt design and token optimization
Created self-healing system with LLM reasoning (90% recovery rate)
Integrated 15+ AI models (Claude Gemini GPT) via unified LiteLLM interface
Implemented adaptive prompting adjusting dynamically to UI changes
Technical Implementation
Architected 5-agent system: Planner, UI Analyzer, Executor, Validator, Self-Healing
Implemented 3-tier element detection: PyWinAuto→keyboard → vision
Built custom syntax highlighter (50+ languages) with viewport rendering
Designed progressive sleep optimization reducing CPU 70%
Implemented perceptual hashing (ImageHash) for dynamic UI detection
Created multi-architecture detection: PE header parsing + IsWow64Process2 API
User Experience & Tools
Delivered modular Tkinter GUI for plug-and-play adoption
Built 90MB standalone executable replacing Beyond Compare licensing
Created portable execution with window-relative coordinates
Designed HTML reporting with embedded screenshots
Performance & Optimization
75% faster code reviews (30min→5min) through AI-powered comparison
Optimized LLM tokens by 62.5% through context truncation
Multi-level caching (UI, LLM, screenshots) for 40% faster operations
Sub-millisecond measurement with 95% accuracy (perf_counter)
60% time savings through intelligent failure detection
Impact: 4 production tools | 70% faster creation | 3x coverage | 90% maintenance reduction | 90% self-healing | 75% faster reviews | 60% time savings | 70% CPU reduction
Technologies: Python, CrewAI, LiteLLM, Claude, Gemini, GPT, PyAutoGUI, PyWinAuto, Tkinter, PyInstaller, ImageHash, Windows API, Git

PythonCrewAILiteLLMClaudeGeminiGPT+9

Amd

2 roles

System Software Developer

Feb 2023 – Jun 2025 · 2 yrs 4 mos

Worked on pre-silicon firmware validation for server products such as Epic Turin, Venice & Mi3xx Ai DGPU, ensuring the delivery of bug-free UEFI Firmware through rigorous test case development and execution
Architected and implemented robust Python/Bash automation framework for BIOS functional testing across critical firmware modules (Memory Controller, I/O, CXL, PCIE, RAS, Platform Security), significantly reducing manual testing time by 40%.
Developed 150+ independent test cases and automated 120+ critical tests for the latest server platform over the last release cycle, contributing to a reduction in post-silicon defects.
Received 5 AMD Spotlight Awards for exceptional contributions to the validation of Epic Turin and Venice server chips, specifically for pioneering new pre-silicon test methodologies and driving significant improvements in test efficiency and bug reduction.
Contributed significantly to the development and validation of an open-source Platform Security solution, enhancing system integrity and reducing potential security vulnerabilities
Established and maintained automated testing environments for Platform Integration releases and Weekly Firmware releases, streamlining the release pipeline using Jenkins
Collaborated closely with Firmware Architects to develop firmware and BIOS test cases, leveraging a deep understanding of CPU/GPU Microarchitecture modules (Platform Security, Bootflow, Interrupt Handling, RAS, Error Handling, PCIE, Northbridge, Southbridge, Registers, NUMA, I/O) to ensure comprehensive test coverage
Gained in-depth working knowledge of complex Firmware modules and concepts such as Platform Security, Bootflow, Interrupt Handling, RAS, Error Handling, Memory Controller, Power Management, PCIE, and Firmware Simulation.

PythonBashJenkinsQA AutomationFirmware ValidationAutomation

Co-Op

Jul 2022 – Feb 2023 · 7 mos

Developed automations for Network infrastructure using Selenium and Paramiko
Worked hands-on with global network infrastructure and various network devices (Cisco/Aruba/HPE routers, F5 GTMs/LTMs, hubs, Netgear).
Gained practical experience in ITSM and ITIL frameworks, applying best practices to network management

SeleniumParamikoQA AutomationNetwork Automation

Jaipur smart city limited

Student Intern

Feb 2022 – Apr 2022 · 2 mos · Jaipur, Rajasthan, India

In association with AICTE and UP Government
Assisted in implementing image recognition for speed infringement and traffic management systems, contributing to enhanced urban safety and efficiency.
Provided research work for future expansion of smart city systems, including city-wide Wi-Fi services.

Leadership