const ashish = {
education: "B.Tech CSE, IIITDM Jabalpur (Graduated)",
role: "Software Engineer Intern @ Classplus",
focus: ["Full-stack product engineering", "Mobile security research", "Scalable backend architecture"],
experience: ["Internal tooling & dashboards", "Android app security research", "Reverse engineering", "AI-powered platforms"],
mindset: "Ship real products, not demos"
};- Building internal tools and dashboards at Classplus (Next.js, Prisma, PostgreSQL, Cloudflare Workers)
- Conducting mobile security research β SSL pinning bypass, Frida instrumentation, Play Integrity attestation
- Reverse-engineered app internals (video templates, animation pipelines, FFmpeg compositing) to inform new product builds
- Active competitive programmer on LeetCode, hundreds of problems solved
- Prior internships: AI Talent Force (Japan, remote), BlueStack
- Goal: Build impactful software that survives production
const frontend = {
frameworks: ["Next.js (App Router)", "React"],
languages: ["TypeScript", "JavaScript"],
styling: ["TailwindCSS", "shadcn/ui", "Framer Motion"],
expertise: "Building responsive, production-grade dashboards & 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, Cloudflare Workers (OpenNext)
database_hosting: Supabase, GCP Cloud SQL
auth: NextAuth.js (Google OAuth), Clerk
storage: Cloudinary
monitoring: Real-time analyticsclass SecurityResearch:
def __init__(self):
self.specialties = [
"π SSL/certificate pinning bypass (Frida, OkHttp)",
"π± Android app instrumentation & USB debug detection",
"π§© Google Play Integrity attestation analysis",
"π₯ App reverse-engineering (video/animation pipelines, FFmpeg)",
"π€ AI-powered security detection & explainability"
]
def current_focus(self):
return "Turning security research into actionable, documented findings"π― Always learning, always building, always shipping
- Built end-to-end proposal tracking & approval dashboard for employees to submit and review Experiment/New Business proposals
- Stack: Next.js 15 (App Router), Prisma, Supabase Postgres β GCP Cloud SQL, NextAuth.js, Cloudflare Workers via OpenNext
- Designed strict status workflow (Draft β In Review β Feedback β Accepted/Rejected/Expired) with post-MVP implementation tracking
- Resolved production infra issues: SSL/Hyperdrive conflicts, private-IP-only GCP DB access from Cloudflare Workers
- Investigated SSL pinning bypass techniques (Frida, OkHttp certificate pinning), Play Integrity attestation, and USB debugging detection on Android
- Authored detailed investigation reports with timelines, API inventories, and prioritized recommendations for future researchers
- Reverse-engineered a video template and animation system to inform a new product build
- Documented MP4 animation baking, FFmpeg compositing pipelines, and platform-specific implementations (React Native, Web, Kotlin)
- AI-based phishing email detection & deepfake voice detection (audio ML)
- Real-time Chrome Extension for Gmail with multi-language support (EN/JP)
- Shipping internal tools & production features at Classplus
- Going deeper into Go & backend systems
- Exploring security Γ AI intersections
- Prepping for SDE new-grad roles





