Intel India · NIC Security Domain · Bangalore

P. Ravitheja AI Tools Specialist & System Engineer

[ Intel · 6+ Years · MTech VLSI · NIT Nagaland ]

System Validation Engineer at Intel specializing in NIC security features — address space attack detection, malicious device driver detection, SGX/TDX/RAS validation. I build AI tools that make hardware validation smarter, faster and automated.

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6+Years @ Intel

5Intel Projects

40%Cycle Reduction

99.9%Test Accuracy

ravitheja@intel ~ whoami.py

$ python whoami.py

✓ Loading profile...

name = "P. Ravitheja"

employer = "Intel India"

role = "System Val Eng"

domain = "NIC Security"

yoe = 6

phone = "+91-9573358709"

skills = [

"Python","AI/ML","SGX",

"TDX","RAS","Streamlit"

]

available = True

🏭

Current Employer

Intel Technology India Pvt. Ltd.

NIC Functional Products · Security Validation · 2020–Present

Security ValidationSGX · TDX · TDXIOPython AutomationAI Validation ToolsPrompt EngineeringRAS TestingStreamlitNIC SecurityOpenAI APICI/CD · GitHubFW & DriversTRACE32GenAI · RAGMTech VLSI · NIT Security ValidationSGX · TDX · TDXIOPython AutomationAI Validation ToolsPrompt EngineeringRAS TestingStreamlitNIC SecurityOpenAI APICI/CD · GitHubFW & DriversTRACE32GenAI · RAGMTech VLSI · NIT

About Me

Engineer.
Builder.
Innovator.

I'm a System Validation Engineer at Intel India with 6+ years of experience across 5 major silicon projects. Currently working on NIC Functional Products — validating security features including address space attack detection and malicious device driver detection.

I specialize in pre/post-silicon validation, SGX, TDX, RAS testing and building AI-powered tools that make validation smarter. My AI log analysis system cut Intel's debug time by 60%. My Streamlit SSH dashboard manages 50+ remote test systems.

Certified in Prompt Engineering (DeepLearning.AI + OpenAI). MTech in VLSI Systems, NIT Nagaland, CGPA 8.3. I bridge deep hardware knowledge with modern AI — and I'm open for freelance AI tooling projects on the side.

NIC Security Pre/Post Silicon SGX · TDX · RAS AI Tools Builder Prompt Engineering MTech VLSI · NIT CGPA 8.3 Bangalore · India

🎓

MTech · VLSI Systems

National Institute of Technology (NIT), Nagaland

2020 · CGPA 8.3 / 10.0

🤖

Prompt Engineering for Developers

DeepLearning.AI & OpenAI

2024 · LLM integration · Ethical AI

⚡

Universal Verification Methodology (UVM)

Udemy Professional Course

2022 · APB · AXI · UART · SPI · I2C

🔧

Hardware Engineering Program (HEP)

Mentor Graphics · 6-Week Intensive

2019 · System Verilog · UVM · Verification

Tech Stack

Skills & Expertise

8 domains. Intel-grade precision. Real production impact.

🔐

Security Validation

Address space attacks, malicious driver detection, SGX, TDX, TDXIO, BTG, TXT — 100% compliance on next-gen Intel processors.

SGXTDXNIC

96%

🐍

Python & Automation

OOP Python, C, Bash — automation suites that cut manual effort by 60%. Pandas, NumPy for data processing in validation pipelines.

PythonCBash

93%

🤖

AI / Prompt Engineering

Certified prompt engineer. GenAI API, OpenAI, RAG systems for intelligent log analysis. Reduced Intel debug time by 60% with AI.

OpenAIRAGGenAI

88%

🖥️

Hardware Validation

Pre/post-silicon, SoC bring-up, RAS testing, MCA banks, IEH/WHEA architecture. Lauterbach TRACE32 debugging across silicon platforms.

RASTRACE32MCA

95%

📊

Streamlit & Dashboards

Built SSH validation dashboards managing 50+ remote test systems. AI trading dashboard with 92% ML accuracy. Real-time data viz.

StreamlitMLSSH

85%

🔄

CI/CD & GitHub

Git workflows, GitHub Actions for automated test pipelines, version control for validation suites, branch strategies for multi-silicon projects.

GitHubCI/CDGit

85%

⚙️

FW & Drivers

Firmware validation, IFWI/unified patch releases across SKUs, UART/SMBus/SPI/I2C driver compatibility, ARM Cortex-A53 bring-up (99.8% pass).

IFWIUARTSPI

90%

🌐

Web & AI Dev

PHP, React, HTML/CSS/JS for full-stack apps. Claude API integration for intelligent AI chat. Azure, SQL, MongoDB for backends.

PHPReactClaude API

82%

Career

Professional Journey

6+ years at Intel across 5 major silicon projects.

Intel · Current

Intel · Intern

System Validation Engineer

Intel Technology India Pvt. Ltd.

2020 – Present · Bangalore · 5 Projects

NIC Security Domain: Address space attack detection, malicious device driver detection, test strategies and debug for NIC functional products.

Security Features: Validated SGX, TDX, TDXIO, BTG, TXT for next-gen Intel processors — 100% compliance with security specifications.

AI Validation Tool: Built intelligent log analysis system using GenAI API integration — reduced debug time by 60% through automated error pattern recognition.

Streamlit Dashboard: Created SSH validation dashboard enabling remote validation of 50+ test systems, eliminating on-site validation time.

RAS Automation: Python-based automation for RAS volume testing — reduced manual effort 60%, improved coverage 40%.

NGA Workflows: Implemented Next Generation Automation workflows — 35% efficiency improvement.

ARM Bring-up: Embedded SoC bring-up for ARM Cortex-A53 variants — UART, SMBus, SPI, I2C compatibility at 99.8% pass rate.

60%

Debug Time Saved

40%

Cycles Reduced

99.9%

Test Accuracy

SOC Validation Intern

Intel Technology India Pvt. Ltd.

2019 – 2020 · Bangalore

Executed post-silicon validation for embedded SoC peripheral subsystems on emulation platforms.

Developed test procedures and debugging methodologies — contributed to team knowledge base.

Gained hands-on experience with emulation boards and validation tool chains.

Foundation for full-time role spanning 5 major Intel silicon projects.

Work

Projects & Builds

Intel-grade projects and personal AI builds — all production-quality.

PythonStreamlitSSHGenAI APIIntel · 2024–2025

Advanced Security Validation Framework

Comprehensive validation framework for Intel's next-gen security features. Engineered a web-based platform using Python and Streamlit with secure SSH automation, intelligent command validation and AI-powered risk assessment algorithms. Deployed across 50+ remote test systems.

45%

Faster Validation

50+

Remote Systems

30%

More Coverage

PythonAutomationRASIntel · 2022–2023

Automated RAS Testing Suite

Python automation suite for reliability testing across silicon skew variants. 99.9% coverage, zero false positives. Reduced manual testing from 5 person-hours to 1 per product cycle. Covers all MCA banks — correctable and uncorrectable errors.

Pythonscikit-learnML

BankNifty AI Trading Dashboard

Real-time ML trading system with 92% accuracy using ensemble models (Random Forest, Gradient Boosting, Linear). Processes live data from 12 banks, generates automated trading strategies. Personal DSA learning project.

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