Aman Samani amansamani

The Architect

👨‍💻 System.log(About_Me)

I build production-oriented systems with a focus on clean architecture, backend scalability, and real-world product development.

📍 Location: Lucknow, IN
🎓 Education: Final-year B.Tech CS @ BBDU (2026)
🔭 Current Focus: Clean Architecture & Scalable APIs
⚡ Status: open_to_work: true

📡 Live Metrics

Featured Case Studies

🏢 HireKarlo

Recruitment & Interview Platform

A full-stack recruitment platform designed to manage the hiring workflow from job creation to interviews.

Key Features: Role-based access, Recruiter workflows, Candidate management, Auth, Dashboard.

🤖 Rookie Agent

AI-Powered Recruitment Platform

A product-oriented AI application focused on improving the recruitment workflow using intelligent automation.

Key Features: AI-powered workflows, Interview-oriented UX, Modern dashboard, Role-based functionality.

🥗 Fitlip

React Native Health & Nutrition App

A mobile application designed around personalized nutrition and food tracking with a robust backend.

Key Features: Redis caching, Razorpay payments, BMR/TDEE calculation, Indian food database.

🕵️ Fraud Detection

Machine Learning Fraud System

A machine learning system designed to identify fraudulent financial transactions under imbalanced data.

Result: 92% ROC-AUC with XGBoost & SMOTE.

🖼️ Gallery Toons

Wallpaper Web Application

A production-deployed wallpaper platform built with a lightweight frontend architecture.

Key Features: Responsive UI, Dynamic content, Optimized frontend, Production deployment.

🎬 Sentiment Classifier

NLP Sentiment Analysis System

A deep-learning based sentiment classification system trained on movie-review data.

Key Features: Text preprocessing, Word2Vec embeddings, LSTM neural network.

System Architecture

I enjoy working across the entire stack. Here is how I structure production applications:

flowchart TD
    %% Styling
    classDef neon fill:#0d1117,stroke:#ADFF2F,stroke-width:2px,color:#ADFF2F

    subgraph FRONTEND [ 🎨 Frontend Layer ]
        direction TB
        F1[React / React Native]
        F2[Responsive UI / UX]
        F1 --- F2
    end

    subgraph BACKEND [ ⚙️ Backend Layer ]
        direction TB
        B1[Node.js / Express]
        B2[REST APIs / Auth]
        B1 --- B2
    end

    subgraph DATA [ 🗄️ Data Layer ]
        direction TB
        D1[(MongoDB / Postgres)]
        D2[(Redis Caching)]
        D1 --- D2
    end

    subgraph PRODUCT [ 🚀 Product Layer ]
        direction TB
        P1[SaaS / Payments]
        P2[AI Features / Prod]
        P1 --- P2
    end

    FRONTEND ==> BACKEND ==> DATA ==> PRODUCT
    
    class FRONTEND,BACKEND,DATA,PRODUCT neon

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