class KrishanYadav:
def __init__(self):
self.name = "Krishan Yadav"
self.alias = "Krishan2874Tech"
self.pronouns = "he/him"
self.role = ["π‘οΈ AI Security Architect", "π AI Auditor", "β‘ Edge AI Researcher"]
self.location = "π Noida, Uttar Pradesh, India"
self.education = {
"MCA" : "Robotics Technology β Amity University (2025β2027)",
"BCA" : "Computer Applications β Amity University (2022β2025)",
}
self.current_focus = "π€ AI-Powered Automated Virtual Patching & Neural Network Security"
self.mission = "π Shift security: Reactive βββββββΊ Predictive using AI"
self.startup = "Founder & CEO β Building AI security ecosystem"
self.summit = "π India-AI Impact Summit 2026 Contributor"
def tech_stack(self):
return {
"Languages" : ["Python π", "Java β", "HTML5", "CSS3"],
"AI / ML" : ["PyTorch", "TensorFlow", "NVIDIA TensorRT", "CUDA"],
"Security" : ["Adversarial ML", "Zero-Trust", "Model Auditing", "Threat Modelling"],
"Cloud" : ["Azure βοΈ", "Google Cloud βοΈ"],
"DevOps" : ["Git", "GitHub", "Bitbucket", "NPM"],
"OS" : ["Ubuntu π§", "Linux", "Windows", "macOS"],
"Tools" : ["VS Code", "Android Studio", "Tableau", "Power BI"],
"Frameworks" : ["Flutter", "Android/XML"],
"Hardware" : ["NVIDIA DGX2-A100 π₯οΈ", "Acer Super ZX 5G", "MediaTek Dimensity 6300"],
}
def currently_building(self):
return "π AI that detects & neutralizes threats BEFORE exploitation"
def fun_fact(self):
return "π‘ Speaks Sanskrit, English, Hindi & learning Japanese π―π΅"| π’ Organisation | π― Role | π Period |
|---|---|---|
| π’ NVIDIA DLI Γ ACAI, Amity University | AI Security Researcher β Edge AI & Deep Learning | Jan 2026 β Present |
| π΅ IIC Γ AIDC, Amity University | AI Research Lead β Security-Focused Projects | Mar 2024 β Jan 2026 |
| π ANK NGO | Group Project Lead β Tech for Social Good | Jan 2024 β Jan 2026 |
| π£ Amity University | Alumni Mentor-Mentee Program Lead (BCA 2022β25) | Jan 2022 β Jan 2026 |
| βͺ Appy Pie | Project Lead β App Development | Mar 2014 β May 2024 |
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β π€ AI-POWERED AUTOMATED VIRTUAL PATCHING π€ β
β β
β π Detect βββΊ π§ AI Audit βββΊ β‘ Auto-Patch βββΊ π‘οΈ Deploy β
β β
β ββ NVIDIA DGX2-A100 ββ TensorRT ββ CUDA ββ PyTorch ββ β
β β
β Reactive Security βββββββββββββββββββΊ Predictive AI Defence β
β (Yesterday) (Next 10 Years) β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
- ποΈ Training transformer models on NVIDIA DGX2-A100 for large-scale security inference
- π± On-device neural net deployment β no cloud dependency, real-time edge patching
- π₯ AI in Healthcare at India-AI Impact Summit 2026 β deep learning for medical diagnostics
- π¬ Researching adversarial ML, model drift, bias & exploitability in production
- π NVIDIA DLI Certified β Computer Vision & CUDA Programming
Languages
AI Β· ML Β· Security
Cloud Β· DevOps
Tools Β· Platforms
2025 ββββββββββββββββββββββββββββββββββββββββββββββββ 2035
β β
βΌ βΌ
π¬ Research π‘οΈ Architect π Global Lead
Edge AI Security βββΊ AI Virtual Patching βββΊ AI SecOps Leader
β β β
βββ NVIDIA DLI βββ Enterprise AI βββ Policy &
Certifications Deployment Standards
| π― Role | π Domain | β±οΈ Timeline |
|---|---|---|
| AI Security Architect | Automated Virtual Patching Systems | 2025β2027 |
| AI Auditor | Neural Network Vulnerability Assessment | 2026β2028 |
| MLSecOps Engineer | Model Drift, Bias & Exploit Detection | 2027β2029 |
| Head of Predictive AI Defence | Enterprise & Government AI Security | 2030+ |
"I build AI systems that find and neutralize threats before they're exploited β
shifting security from reactive incident response to predictive, automated defence."
Open to: AI Security Architect Β· AI Auditor Β· MLSecOps Β· Automated Threat Response Β· Edge AI Security
β Star my repos if you find the work interesting β every star fuels the next build!