Ramesh Kumar Das

Ramesh Kumar Das

Lead Full Stack Developer

AI/ML Enthusiast
Backend Expert

A passionate Lead Full Stack Developer and Backend Expert with 6+ years of experience. Currently leading development at Klikyai, I architect scalable, AI-powered platforms with enterprise-grade backend infrastructure.

Expertise in Python, Django, FastAPI, Node.js, React, Next.js, and cloud technologies. Specialized in microservices architecture, AI/ML integration, and building intelligent systems.

📧 mrdasdeveloper@gmail.com
📱 +977 9700864900
🌐 Nepal

Professional Summary

Core Competencies

  • Backend Architecture: Enterprise-grade backend systems with microservices, APIs, and database design
  • Full Stack Development: End-to-end application development from UI/UX to backend infrastructure
  • AI/ML Integration: Building intelligent systems with TensorFlow, PyTorch, and custom ML models
  • Cloud & DevOps: Scalable solutions on AWS, Docker, and Kubernetes

Key Achievements

  • Architected and delivered 9+ major projects across 4 companies
  • Led development of AI-powered platform serving active users with scalable architecture
  • Implemented microservices architecture reducing system latency by 40%
  • Mentored junior developers and established coding standards

Technology Stack Overview

Technology Distribution

Expertise Level by Category

Project Tracks by Company

Klikyai

Lead AI Full Stack Developer | Current

Leading AI-powered platform development

2022 - Present
3+ Years

Klikyai AI Platform

AI-powered platform with generative AI tools, microservices architecture, and intelligent automation

Featured
Key Technologies:
Django

Robust ORM, admin panel, and rapid development for business logic and user management.

Next.js

SSR capabilities, excellent performance, and seamless API integration.

FastAPI

High-performance AI endpoints with async capabilities, significantly reducing latency.

Docker & K8s

Containerization and auto-scaling for AI workloads.

PostgreSQL

ACID compliance and reliable transaction management.

Redis

Caching and session management, significantly reducing database load.

Microservices Architecture

Each AI feature is an independent service that scales independently.

Text-to-Speech

FastAPI microservice, scales independently

Image Generation

Stable Diffusion, GPU resources isolated

Face Swap

Privacy-focused processing service

User Management

Django-based auth & authorization

Notifications

WebSockets & Firebase integration

Payment

Stripe integration, isolated security

Key Benefits:

Independent Scaling: Each service scales based on demand
High Uptime: Fault isolation ensures reliability
Tech Flexibility: Best tool for each service
35% Cost Reduction: Optimized resource allocation
Key Features Implemented:
  • Text-to-Speech with multiple voice options
  • AI Image Generation using Stable Diffusion
  • Face Swap technology with privacy controls
  • Comprehensive admin dashboard with analytics
  • Real-time notifications system
  • Payment integration and subscription management
Scalable
User Base
High
Uptime
40%
Faster Processing

For Detailed Technical Information:

Backend Architecture Frontend Architecture

WINSTA-AI CMS

Content management system with multi-language support and advanced analytics

Technologies Used & Rationale:
Django

Selected for built-in i18n support, admin customization, and excellent ORM for managing multilingual content relationships.

PostgreSQL

Chosen for JSONB support for flexible content storage, full-text search capabilities, and excellent performance with large datasets.

Redis

Used for caching translated content, session management, and real-time analytics. Significantly reduces database queries.

Nginx

Deployed as reverse proxy and load balancer. Handles SSL termination and static file serving efficiently.

Microservices Architecture:
Content Management

Django service for CRUD and workflow

Translation

18+ languages, caching, localization

Analytics

Content views, user behavior tracking

Search

Elasticsearch for multilingual search

Key Benefits:

• Independent scaling
• Isolated processing
• Zero-downtime updates
Multi-tenant
Architecture
18
Languages
65%
Faster Delivery

For Detailed Technical Information:

Backend Architecture Frontend Architecture

Mobile Notification System

Real-time push notification system for iOS and Android with scheduling and analytics

Technologies Used & Rationale:
Django

Backend service for notification management, user preferences, and scheduling. Excellent for handling complex notification rules.

Firebase Cloud Messaging

Integrated for reliable cross-platform push notifications. Handles iOS and Android delivery with high success rates.

Celery

Task queue for scheduled notifications and batch processing. Ensures notifications are sent at optimal times.

Redis

Message broker for Celery and caching notification templates. Enables fast notification delivery and retry mechanisms.

Microservices Architecture:
Notification API Service

Django REST API for creating and managing notifications.

Delivery Service

Microservice handling Firebase integration and delivery tracking.

Scheduler Service

Celery-based service for scheduled and batch notifications.

Analytics Service

Tracks delivery rates, open rates, and user engagement metrics.

Device Management

Service managing device tokens and platform-specific configurations.

Template Service

Cached notification templates for fast rendering and personalization.

How Microservices Enhance This Project:

  • • Delivery service handles high-volume notifications without affecting API service
  • • Scheduler service processes scheduled notifications independently and efficiently
  • • Analytics service runs asynchronously, not blocking notification delivery
  • • Each service can be optimized for its specific workload (CPU vs I/O intensive)

Impact: Reliable notification delivery system with high delivery rate. Microservices architecture enables handling traffic spikes during campaigns without service degradation.

For Detailed Technical Information:

Backend Architecture

Ajath

Full Stack Developer

Scalable web application development

2021 - 2022
1 Year

E-commerce Platform

Full-featured e-commerce solution with payment integration and inventory management

Technologies Used & Rationale:
Django

Selected for built-in admin panel, security features, and excellent ORM for complex product relationships and inventory management.

React

Chosen for component reusability, state management, and excellent user experience. Enables dynamic product filtering and cart management.

PostgreSQL

Used for ACID compliance, complex queries, and reliable transaction handling crucial for payment processing and order management.

Stripe API

Integrated for secure payment processing, PCI compliance, and support for multiple payment methods including cards and digital wallets.

Microservices Architecture:
Product Catalog Service

Manages product data, inventory, and search functionality independently.

Order Management Service

Handles order processing, status tracking, and fulfillment workflow.

Payment Service

Isolated payment processing with Stripe integration for security compliance.

User Service

Manages user accounts, authentication, and profile data separately.

Microservices Benefits:

  • • Payment service isolated for PCI compliance and security
  • • Product catalog can scale during sales events independently
  • • Order service handles high traffic without affecting browsing experience

Impact: Processed 5,000+ orders with zero payment failures. Achieved 50% faster checkout process through optimized React components and microservices architecture.

Saraj Systems

Full Stack Developer

Enterprise-level applications

2020 - 2021
1 Year

Enterprise Content Management System

Multi-tenant CMS with advanced workflow management and analytics

Technologies Used & Rationale:
Django

Chosen for multi-tenancy support, built-in admin customization, and excellent permission system for role-based access control.

Redis

Implemented for caching frequently accessed content, reducing database load and improving page load times significantly.

AWS S3 & CloudFront

Used for scalable file storage and CDN distribution, ensuring fast content delivery globally with high availability.

Nginx

Deployed as reverse proxy for load balancing and SSL termination, efficiently handling concurrent requests.

Microservices Architecture:
Content Service

Core CMS functionality with multi-tenant support and content versioning.

Caching Service

Redis-based service for content caching, significantly reducing database load.

File Storage Service

AWS S3 integration for scalable media storage and CDN distribution.

Analytics Service

Separate service for tracking content performance and user engagement.

Microservices Benefits:

  • • Caching service handles high read traffic without impacting content updates
  • • File storage service scales independently for media-heavy clients
  • • Analytics processing doesn't slow down content delivery

Impact: Multi-tenant CMS architecture supporting multiple clients. Reduced content delivery time by 65% through CDN optimization and microservices caching.

WebreakGlobal

Software Developer

Web application development

2019 - 2020
1 Year

Business Management System

Comprehensive business management solution with CRM and reporting features

Technologies Used & Rationale:
Node.js & Express

Selected for real-time features, excellent npm ecosystem, and non-blocking I/O perfect for handling multiple concurrent business operations.

React

Chosen for building interactive dashboards and real-time data visualization. Component architecture enabled rapid feature development.

MongoDB

Used for flexible schema design, allowing rapid iteration on business requirements. Excellent for storing varied business data structures.

Chart.js

Integrated for business analytics and reporting. Lightweight library providing beautiful, responsive charts for data visualization.

Microservices Architecture:
CRM Service

Customer relationship management with contact and interaction tracking.

Reporting Service

Separate service for generating business reports and analytics.

Data Service

MongoDB-based service for flexible business data storage.

Dashboard Service

Real-time dashboard with Chart.js for data visualization.

Microservices Benefits:

  • • Reporting service processes data asynchronously without blocking operations
  • • Dashboard service provides real-time updates independently
  • • Each service can be optimized for its specific data access patterns

Impact: Streamlined business operations with automated reporting. Reduced manual work significantly and improved decision-making speed through microservices architecture.

How Microservices Enhance Projects

Microservices Architecture

Applications built as independent services that communicate via APIs. Each service handles a specific function and can be developed, deployed, and scaled independently.

Independent

Deploy separately

Flexible

Different tech stacks

Isolated

Fault tolerance

Scalable

Scale independently

Performance Benefits

Latency Reduction Significant
Independent Scaling ✓
Resource Optimization ✓
Parallel Processing ✓

Reliability Benefits

Fault Isolation ✓
Uptime High
Graceful Degradation ✓
Independent Deployment ✓

Real-World Impact: Klikyai AI Platform

40%

Reduction in Processing Time

Through optimized microservices

Independent

Traffic Scaling

Each service scales separately

Optimized

Resource Allocation

Reduced cloud costs

Microservices Architecture Flow

Client

API Gateway

AI Service

User Service

Notification

Payment

Each microservice operates independently, communicates via APIs, and can scale based on demand

Technology Usage Analysis

Microservices Benefits Metrics

Technology Stack by Project

Explore Detailed Technical Documentation

For comprehensive technical details, architecture diagrams, and implementation strategies, explore the specialized documentation below.

Backend & AI Architecture

Comprehensive backend infrastructure and generative AI services documentation

What's Inside:

  • • Full Stack Architecture Diagrams
  • • 12+ Generative AI Services (Text-to-Image, Video, 3D, Audio)
  • • RunPod & FAL.ai Deployment Strategies
  • • Microservices Architecture
  • • Multi-Layer Security System
  • • Docker & Kubernetes Deployment
  • • API Performance & Optimization
View Backend Documentation

Frontend Architecture

Complete frontend system design and technology deep dives

What's Inside:

  • • ReactJS, NextJS, Django, Flutter Deep Dives
  • • Complete System Architecture Diagrams
  • • Component Architecture & Design Patterns
  • • State Management Strategies
  • • API Integration Approaches
  • • Performance Optimization Techniques
  • • Security & Best Practices
View Frontend Documentation

Free Open Source Projects

Production-ready, enterprise-grade starter templates for building scalable applications. All projects are open source and free to use.

FastAPI Backend

Enterprise-grade FastAPI backend with JWT auth, RBAC, PostgreSQL, Docker, and Kubernetes support

FastAPI PostgreSQL Docker
View on GitHub

Node.js Backend

Production-ready Express.js backend with JWT auth, Prisma ORM, PostgreSQL, Docker, and Kubernetes

Express.js Prisma Docker
View on GitHub

Next.js Frontend

Modern Next.js starter with App Router, TypeScript, Tailwind CSS, and API integration patterns

Next.js TypeScript Tailwind
View on GitHub

React.js Frontend

Complete React starter with Vite, TypeScript, React Router, state management, and modern tooling

React Vite TypeScript
View on GitHub

Django Backend

Full-featured Django REST framework backend with authentication, admin panel, and PostgreSQL

Django DRF PostgreSQL
View on GitHub

More Coming Soon

Additional starter templates and boilerplates are in development. Stay tuned for updates!

Coming Soon
Watch for Updates

Ready to Work Together?

I'm always open to discussing new opportunities, innovative projects, or how I can contribute to your team's success.

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