SYSTEM STATUS: OPERATIONAL // BACKEND & AI

Roshan Yadav Software Developer Backend • Full-Stack • AI/ML

I'm Roshan Yadav — a software developer focused on backend systems, full-stack applications, and AI/ML. I build practical software where engineering, automation, and performance matter.

VIEW PROJECTS GITHUB CONTACT

FASTAPI / DJANGO Backend Stack

POSTGRESQL Database

PYTORCH ML Framework

DOCKER Containerization

ENGINEERING CONSOLE

import fastapi, asyncio, torch
# Initializing ASGI Backend & Model Engine
app = fastapi.FastAPI(title="Roshan.Backend")
@app.post("/api/v1/predict")
async def execute_inference(payload: PayloadSchema):
    result = await model_service.predict(payload.vector)
    return {"status": "200_OK", "engine": "PyTorch", "data": result}

                                        BACKEND: Python 3.11 / FastAPI ASGI
                                    

                                        PERSISTENCE: PostgreSQL Transactions
                                    

                                        CONTAINER: Docker / Linux Runtime
                                    

// TEST API PAYLOAD STREAM:

// JSON API RESPONSE:

{
  "status": "200_OK",
  "engine": "PyTorch 2.3 ASGI Service",
  "input": "FastAPI backend with PyTorch...",
  "classification": "Backend & AI Infrastructure"
}

SYSTEM STATUS OPERATIONAL

BACKEND ENGINE FASTAPI / DJANGO

DATABASE LAYER POSTGRESQL

ML FRAMEWORK PYTORCH

DEPLOYMENT & INFRA DOCKER / GIT

⚡ PYTHON 3.11 • FASTAPI ASGI • DJANGO PLATFORMS • PYTORCH ML • POSTGRESQL • DOCKER CONTAINERS • ES6+ JAVASCRIPT • REST APIS • STRIPE INTEGRATIONS •

// 01. PROFILE

WHAT I BUILD

Core focus areas and software engineering streams.

ROSHAN YADAV // DEVELOPER

ROSHAN-PY

I am a software developer focused on backend engineering, full-stack web applications, and AI/ML integrations.

I approach software development as a structured engineering discipline — building clean database schemas, fast API endpoints, and maintainable user interfaces.

⚡

Backend Development: Python, FastAPI, and Django applications built for data flow and transaction safety.

🌐

Full-Stack Applications: Responsive, fast web interfaces using vanilla JavaScript and modern CSS.

🧠

AI & ML: Integrating PyTorch and machine learning models into API microservices.

// CAPABILITIES Technical Competencies

🐍 Backend Engineering

FastAPIDjangoREST APIsAsyncIO

🌐 Full-Stack Web

JavaScriptHTML5CSS3Responsive UX

🧠 AI / ML Systems

PyTorchScikit-LearnModel Inference

🗄️ Databases & DevOps

PostgreSQLSQLiteDockerGit

🔌 APIs & Integrations

StripeWebhooksIntegrations

// 02. PROJECTS

SELECTED ENGINEERING WORK

Software platforms and case studies built for real-world functionality.

3shospitalitymanagement.com

3S Hospitality Management Website Preview

LIVE DEMO

HOSPITALITY LIVE SITE

3S Hospitality Management

Multi-property resort reservation engine and unified booking management platform.

// KEY FEATURES:

Centralized multi-property booking matrix & room availability routing.
Automated reservation workflow handling client requests & confirmation receipts.
Transactional PostgreSQL data handling preventing booking collisions.

ENGINEERING CHALLENGE & SOLUTION

Challenge: Preventing race conditions and double-bookings during concurrent traffic.
Solution: Implemented Django transactional atomic blocks (`select_for_update`) with PostgreSQL row locks to ensure consistent booking state changes.

PythonDjangoPostgreSQLREST APIsHTML/CSS/JS

VISIT LIVE SITE

DATABASE: PostgreSQL transactional schema

AUTHENTICATION: Django Session Auth & CSRF protection

API MATRIX: RESTful JSON endpoints for reservation state management

nexarchinfrastructure.com

LIVE DEMO

INFRASTRUCTURE LIVE SITE

Nexarch Infrastructure

Engineering portal for civil developments, structural project portfolios, and technical assets.

// KEY FEATURES:

Structural project showcase & CAD preview viewer interface.
Filterable asset index for engineering blueprints & documentation.
Fast initial page load and responsive layout for mobile & desktop.

ENGINEERING CHALLENGE & SOLUTION

Challenge: Displaying detailed structural project portfolios with heavy visual assets efficiently.
Solution: Implemented lazy-loading and optimized image compression, keeping initial asset loads fast and lightweight.

JavaScript (ES6+)HTML5 / CSS3Asset PipelineWeb APIs

VISIT LIVE SITE

PERFORMANCE: Optimized asset loading & WebP encoding

UI LOGIC: Native ES6+ DOM logic without external frameworks

LAYOUT: CSS Grid & Flexbox

designiconica.com

LIVE DEMO

ARCHITECTURE & DESIGN LIVE SITE

Design Iconica

Architectural design studio showcase engine combining visual assets with client portals.

// KEY FEATURES:

Interactive architectural showcase with fluid page transitions.
Integrated client inquiry forms & design scope selector.
Custom lightweight animations built for fast performance.

ENGINEERING CHALLENGE & SOLUTION

Challenge: Maintaining smooth UI animations while managing interactive client state.
Solution: Used lightweight JavaScript state logic paired with GPU-accelerated CSS transitions.

JavaScript (ES6+)HTML5 / CSS3Web ApplicationsClient Portal

VISIT LIVE SITE

ANIMATION: Hardware-accelerated CSS transforms

FORMS: Asynchronous client payload submission

COMPATIBILITY: Tested across desktop and mobile browsers

neural-predictor.api

TEST IN CONSOLE

MACHINE LEARNING ML SERVICE

Neural Analytics & Predictor

Real-time text classification and anomaly detection microservice powered by PyTorch & FastAPI.

// KEY FEATURES:

Low-latency payload processing using asynchronous FastAPI routes.
PyTorch model evaluation running in a containerized environment.
Clean JSON REST API response structure.

ENGINEERING CHALLENGE & SOLUTION

Challenge: Reducing startup latency when loading PyTorch model weights in ASGI services.
Solution: Pre-loaded model weights during service startup, avoiding on-demand load overhead during API requests.

Python 3.11FastAPIPyTorchDockerREST API

TEST IN HERO CONSOLE

FRAMEWORK: PyTorch 2.3 & TorchScript

SERVER: Uvicorn ASGI worker running FastAPI

CONTAINER: Docker container image

// 03. TECH STACK

Technology Stack

Tools, languages, and technologies I use to build software.

🐍

Python 3.11+ FastAPI, Django, AsyncIO

⚡

FastAPI & Django REST APIs, Microservices, ORM

📜

JavaScript (ES6+) Async/Await, DOM APIs, Dynamic UI

🌐

HTML5 & CSS3 Semantic HTML, Flexbox, Grid

🧠

PyTorch & Scikit-Learn Neural Networks, Classification

🤖

Model Deployment FastAPI Endpoints, Model Inference

🐘

PostgreSQL Relational Schemas, Transactions

🗄️

SQLite Lightweight Storage, Local Development

🐳

Docker & Linux Containerization, Server Environments

🔀

Git & GitHub Version Control, Collaboration

💳

Stripe & Webhooks Payment Flow Integration

🔌

REST APIs & Webhooks JSON Endpoints, Third-Party APIs

// 04. WORKFLOW

Engineering Approach

A practical workflow for designing, building, and maintaining software.

ANALYSIS

UNDERSTAND

Understand the problem, requirements, and constraints before starting development.

DESIGN

ARCHITECT

Design database schemas, API contracts, and system data flows.

IMPLEMENTATION

BUILD

Implement backend services, application logic, and user interfaces.

TESTING

TEST

Validate API functionality, handle edge cases, and ensure reliability.

DEPLOYMENT

DEPLOY

Containerize applications using Docker and deploy to Linux servers.

MAINTENANCE

ITERATE

Monitor performance, collect feedback, and maintain the codebase.

// 05. CONTACT

LET'S BUILD SOMETHING

Have a backend application, web platform, or AI project in mind? Reach out and let's connect.

// DEVELOPER: Roshan Yadav

// EMAIL:

er.roshan.y@gmail.com

// GITHUB: github.com/Roshan-py

// LINKEDIN: linkedin.com/in/roshanyadav

MESSAGE DISPATCH

// YOUR NAME / ORGANIZATION

// EMAIL ADDRESS

// DEVELOPMENT AREA

// PROJECT DETAILS / SCOPE