Backend engineering - AI-era product systems
Building AI-erabackends withfull-stack gravity.
I craft cinematic product interfaces, secure backend workflows, and performance-first web experiences that feel engineered from the first scroll.
Quick launchpad
Portfolio, profiles, and live project proof surfaced in one place for a faster mobile scan.
Portfolio
Live site
The current portfolio experience and landing surface.
GitHub
@pritish157
Main GitHub profile with public code and activity.
Connect
Professional profile, updates, and hiring context.
Knot of Love
Live project
Realtime trust-focused product with chat and moderation.
Vireon
Live project
Event management app with clean UI and workflows.
Core Engine
Node.js / Python
Focus
High-Performance Arch
Available for Hire
Ready to engineer product workflows and secure backend systems for high-impact roles.
Trust / credibility / shipping signals
engineered for fast recruiter scan speed
03
Flagship systems
58+
Product endpoints
Socket + KYC
Realtime + trust flows
Render + Vercel
Deployment pattern
GitHub-proof work
Public builds, live systems, and repo-linked engineering signals.
Recruiter scan speed
Clear product outcomes, architecture depth, and system metrics in one pass.
Best-fit roles
Frontend-heavy product engineering, full-stack systems, and AI-native interfaces.
Short timeline. Strong signal.
The goal here is not biography overload. It is giving hiring teams enough context to see trajectory, systems thinking, and where the portfolio is headed next.
Current positioning
Frontend-heavy product engineer who still thinks in systems.
The portfolio is intentionally built to show premium frontend judgment without losing backend authority. That mix is the edge: strong surfaces, cleaner contracts, and product logic that stays trustworthy.
Now
AI-native product interface focus
Leaning hard into premium frontend systems, motion discipline, and product experiences that feel built for the modern AI era.
2024 - 2025
Full-stack product systems
Built realtime communication workflows, event operations tooling, and trust-sensitive platform features across React, Node.js, and MongoDB.
Core foundation
Systems-backed engineering mindset
Grounded in DBMS, networking, operating systems, and data structures so architecture decisions stay practical under product pressure.