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I'm Bayajid Alam Juyel,
a passionate Software Engineer with expertise in

Bayajid Alam Juyel

Who I am?

Hi, I’m Bayajid Alam Joyel, a full-stack developer and cloud enthusiast with hands-on experience in Next.js, React, Node.js, NestJS, Express, PostgreSQL, MongoDB, and Redis. I’ve built scalable, cloud-native applications like VisionSync, an AWS video streaming system. I’m passionate about system design, performance optimization, and DevOps automation, and I enjoy solving complex problems while staying up-to-date with emerging technologies. I’m looking for opportunities that leverage my expertise in full-stack development, distributed systems, and cloud-driven solutions.

Bayajid Alam Juyel
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Experiences
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(March 2025 - Present)

Web Instructor

Programming Hero

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(December 2023 - January 2025)

Full Stack Developer

Pii Marketer

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August 2024 - Present

Backend Co-Lead(Volunteer)

Uddhar

Skills
Language
C

C

C++

C++

TypeScript

TypeScript

Cloud, DevOps & Testing
AWS

AWS

Docker

Docker

Kubernetes

Kubernetes

Nginx

Nginx

CI/CD

CI/CD

Pulumi

Pulumi

Ansible

Ansible

Prometheus

Prometheus

Grafana

Grafana

Backend Techs
Node JS

Node JS

Express JS

Express JS

GraphQL

GraphQL

RabbitMQ

RabbitMQ

Database And ORM
MongoDB

MongoDB

PostgreSQL

PostgreSQL

Redis

Redis

Mongoose

Mongoose

Prisma

Prisma

Frontend Techs
React

React

Next JS

Next JS

Redux

Redux

Tailwind

Tailwind

ShadcnUI

ShadcnUI

Ant Design

Ant Design

Firebase

Firebase

Others
Git

Git

Figma

Figma

VS CODE

VS CODE

Postman

Postman

Linux

Linux

PROJECTS

node-fleet - Intelligent K3s Autoscaler

name:'node-fleet - Intelligent K3s Autoscaler',
tools: ['AWS Lambda', 'K3s', 'Kubernetes', 'Prometheus', 'Python', 'Pulumi', 'AWS EC2', 'Spot Instances', 'EventBridge],
myRole:Backend & DevOps Engineer,
Description: I built a cost-optimized, serverless autoscaler for K3s clusters on AWS. It automatically adjusts cluster capacity based on real-time metrics from Prometheus, using AWS Lambda for event-driven scaling. By leveraging Spot instances, Multi-AZ support, and predictive scaling, the system reduces infrastructure costs by 40-50%, ensures <3 min response for new capacity, and eliminates manual intervention during traffic spikes. VPC isolation enhances security, and the architecture is lightweight and fully automated.,
};

Jatra – Scalable Railway Ticketing System

name:'Jatra – Scalable Railway Ticketing System',
tools: ['TypeScript', 'NestJS', 'Go (API Gateway)', 'Next.js', 'PostgreSQL', 'Redis', 'RabbitMQ', 'Kubernetes', 'Helm', 'Docker', 'Prometheus', 'Grafana', 'OpenTelemetry', 'Pulumi', 'Jenkins],
myRole:Full Stack & DevOps Engineer,
Description: Jatra is a fault‑tolerant, horizontally scalable microservices‑based ticketing platform designed to solve Bangladesh Railway’s peak traffic failures (like during Eid). Built during a BUET CSE Hackathon, it features 11 independent services (auth, booking, payment, etc.), Redis atomic seat locking for high concurrency, Kubernetes auto‑scaling, hybrid sync/async communication (API Gateway + RabbitMQ), and comprehensive monitoring with Prometheus, Grafana, and OpenTelemetry. It’s engineered for reliability, zero downtime deployments, and real‑world traffic challenges.,
};

Askly – Intelligent RAG & Web Search Agent

name:'Askly – Intelligent RAG & Web Search Agent',
tools: ['React', 'TypeScript', 'Tailwind CSS', 'shadcn/ui', 'Node.js', 'Express', 'ChromaDB', 'Google Gemini', 'Tavily API', 'Server‑Sent Events (SSE)],
myRole:Full Stack Developer,
Description: Askly is a high‑performance open‑source Retrieval‑Augmented Generation (RAG) system that lets you chat with your documents (like PDFs) and falls back to web search when it doesn’t have the answer locally. It supports real‑time AI answer streaming via SSE and rich markdown rendering for a smooth conversational experience. Built with Google Gemini, ChromaDB, and Tavily web search, Askly lets you index document content, run semantic queries, and stream detailed AI responses back to the UI. :contentReference[oaicite:0]{index=0},
};

VisionSync - Video Streaming Platform

name:'VisionSync - Video Streaming Platform',
tools: ['React', 'TypeScript', 'Tailwind CSS', 'shadcn/ui', 'Node.js', 'Express', 'MongoDB', 'Socket.IO', 'AWS S3', 'AWS ECS', 'AWS Lambda', 'AWS SQS', 'CloudFront', 'Redis', 'FFmpeg', 'Pulumi],
myRole:Full Stack Developer,
Description: I built a scalable video streaming platform with real-time processing updates. Users upload videos via pre-signed URLs directly to S3, triggering automated ECS containers that compress videos, convert to multiple resolutions (1080p, 720p, 480p), split into 10-second chunks, and generate MPEG-DASH manifests. The platform delivers content through CloudFront CDN with signed URLs for security. Real-time upload and processing status updates are handled via Socket.IO with Redis as the backplane. The entire infrastructure is provisioned with Pulumi on AWS, achieving 48% cost reduction through optimizations like S3 Intelligent Tiering, lifecycle policies, and Spot instances for ECS tasks.,
};

SimplyDone To-Do Application

name:'SimplyDone To-Do Application',
tools: ['React.js', 'Tailwind CSS', 'Shadcn UI', 'Firebase', 'Node.js', 'Express', 'TypeScript', 'Docker', 'Docker Hub', 'AWS EC2', 'AWS ALB', 'AWS Auto Scaling', 'AWS VPC', 'AWS CloudWatch', 'AWS NAT Gateway', 'MongoDB', 'Pulumi', 'Ansible', 'JWT],
myRole:Full Stack DevOps Engineer,
Description: SimplyDone is an enterprise-grade, cloud-native To-Do application built with React.js (with Tailwind CSS, Shadcn UI, Firebase authentication) and Node.js/Express backend. The application implements JWT-based authentication and uses MongoDB for data persistence. The architecture features Docker containerization with images hosted on Docker Hub, automated AWS infrastructure provisioning via Pulumi (IaC), and deployment orchestration through Ansible. The backend is deployed across multiple AWS EC2 instances within private subnets using an Auto Scaling Group (min: 1, desired: 2, max: 5) with CloudWatch-based CPU metrics triggering scale-up/down policies. An Application Load Balancer distributes traffic with health checks, while the frontend runs on a dedicated EC2 instance in a public subnet. The infrastructure includes VPC with public/private subnets across multiple AZs, NAT Gateway for outbound traffic, and a dedicated MongoDB instance in a private subnet. Security is enforced through AWS Security Groups with least-privilege access patterns.,
};
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Educations
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2021 - 2025

Bachelor in Computer Science And Engineering

CCN University of Science & Technology

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2018 - 2020

Higher Secondary Certificate

Government Shaheed Suhrawardy College

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2016 - 2018

Secondary School Certificate

Bangodda Iqra Model School

Contact

Contact with me

If you have any questions or concerns, please don't hesitate to contact me. I am open to any work opportunities that align with my skills and interests.

bayajidalam.cse@gmail.com

+8801860301407

Sadar Dokkhin, Cumilla, Bangladesh - 3500