const ashish = {
education: "B.Tech CSE @ IIITDM Jabalpur",
role: "Full-Stack Engineer (Backend-leaning)",
focus: ["AI-powered SaaS", "Security systems", "Scalable backend architecture"],
experience: ["AI security platforms", "Chrome extensions", "RAG systems", "Enterprise dashboards"],
mindset: "Ship real products, not demos"
};- 🔭 Built production-grade AI security platforms
- 🔐 Worked on phishing detection & deepfake voice analysis
- 🧠 Experience with RAG systems, AI explainability & inference pipelines
- ⚙️ Strong focus on backend APIs, data modeling & system design
- 🎯 Goal: Build impactful software that survives production
╔══════════════════════════════════════════════════════════════╗
║ 🚀 FULL-STACK ENGINEER ║
╚══════════════════════════════════════════════════════════════╝
const frontend = {
frameworks: ["Next.js", "React"],
languages: ["TypeScript", "JavaScript"],
styling: ["TailwindCSS", "Framer Motion"],
expertise: "Building responsive, performant UIs"
};
type BackendSkills struct {
Runtime []string `json:"runtime"`
Frameworks []string `json:"frameworks"`
Languages []string `json:"languages"`
Focus string `json:"focus"`
}
skills := BackendSkills{
Runtime: []string{"Node.js", "Bun"},
Frameworks: []string{"Express.js", "FastAPI"},
Languages: []string{"Go", "TypeScript"},
Focus: "Scalable APIs & System Design",
}
-- Database Arsenal
SELECT
'MongoDB' as NoSQL,
'PostgreSQL' as Relational,
'Prisma' as ORM,
'Redis' as Cache
FROM tech_stack
WHERE expertise = 'Data Modeling & Performance';
infrastructure:
containerization: Docker
deployment: Vercel, Railway
cdn: Cloudflare
auth: Clerk
storage: Cloudinary
monitoring: Real-time analytics
class AIExpertise:
def __init__(self):
self.specialties = [
"🔍 Retrieval-Augmented Generation (RAG)",
"🧠 Multi-model inference pipelines",
"📊 Explainable AI outputs",
"🎵 Audio & NLP classification systems",
"🔐 AI-powered security detection"
]
def current_focus(self):
return "Building production-ready AI systems that actually work"🎯 Always learning, always building, always shipping
- AI-based phishing email detection
- Deepfake voice detection (audio ML)
- Real-time Chrome Extension for Gmail
- Multi-language support (EN / JP)
- Enterprise-ready dashboards & analytics
- Secure auth flows with Clerk
- Media pipelines using Cloudinary
- Scalable APIs with Prisma + MongoDB
- Production-ready UI & backend systems
- 🚀 Building AI-first SaaS products
- ⚙️ Going deeper into Go & backend systems
- 🔐 Exploring security × AI intersections
- ✍️ Sharing real-world engineering learnings