Software Engineer
& Cloud Architect

3+ years of experience

10+ Github projects

Results-driven engineer who thrives on tackling complex technical challenges and transforming business requirements into scalable, user-focused solutions.

My technical expertise spans backend development with Go and Python, API design across REST, gRPC, GraphQL, and WebSockets, plus database management with PostgreSQL, MongoDB, and Redis. I leverage modern DevOps practices including Docker/Kubernetes containerization, CI/CD pipelines, cloud platforms (AWS/GCP), and comprehensive monitoring solutions to build and maintain scalable, production-ready systems.

Let's work together!

logeshwaran082@gmail.com

Latest articles

Custom DTO validators in NestJS using class-validator

Learn how DTO validation works & how to create custom validators in NestJS with class-validator.

Prisma + NestJS: Error Handling Made Easy

Learn how to cleanly handle native Prisma errors in NestJS applications.

SSR, SSG, ISR and API routes in Next.js — The Ultimate Guide

Learn how to use server-side rendering, static site generation, and API routes in Next.js 14 to build fast and scalable web applications.

Symbols in JavaScript — What, Why, and How

Learn what symbols are in JavaScript, why they are useful, and how to use them in your code.

Area of Expertise

Software Development

As a Software Engineer, I build scalable backend systems using Go and microservices architecture, with expertise in PostgreSQL database design and optimization. I specialize in container orchestration and deployment automation using Kubernetes for enterprise-scale applications.

Cloud

As a Cloud Architect specializing in AWS, I design and implement scalable cloud infrastructure using services like EC2, EKS, RDS, and Lambda for enterprise applications. I architect resilient, cost-optimized solutions leveraging AWS best practices for security, monitoring, and automated deployment pipelines.

Gen AI

As a Generative AI Enthusiast, I develop and deploy LLM-powered applications using AWS Bedrock, implementing RAG architectures and MCP protocols for intelligent document processing and conversational AI systems. I specialize in fine-tuning large language models and building scalable AI infrastructure that integrates seamlessly with enterprise workflows.