[afsan@dev]:~$
download Let's Talk
zsh — 80×24 ~/portfolio/about.sh
AFSAN

FULL STACK & DEVOPS ENGINEER · AI PRODUCTS

>

S. Afsan Rahmatullah — Full Stack & DevOps Engineer who builds AI products and obsesses over automation — turning repetitive processes into systems that run themselves. I specialise in voice AI, customer support automation, AI SEO/AEO/GEO, and work across the full stack (Python + FastAPI, TypeScript + Fastify, React/Next.js) while owning infrastructure end to end.

Current Role

Software Engineer @ Spacesoft.co

Education

B.Sc. CS — Brac University, 2022 (3.71)

#PYTHON #TYPESCRIPT #FASTAPI #NEXT_JS #DOCKER #AWS #AI_PRODUCTS #CI_CD #AUTOMATION
S. Afsan Rahmatullah
UID: 0x8F4A

man skills

SECTION 1
FULLSTACK(1) User Manual

NAME

fullstack — end-to-end web development, frontend to API.

SYNOPSIS

Python: FastAPI · Django · Flask
TypeScript: Fastify · Node.js · tRPC · Drizzle ORM
Frontend: React · Next.js · Remix · Tailwind · Shadcn
Arch: Turborepo monorepo · Service-based · tRPC

DEVOPS(1) User Manual

NAME

devops — infrastructure, containerization & delivery pipelines.

SYNOPSIS

Containers: Docker · Docker Compose · Nginx · Traefik
Queues: BullMQ · ARQ · Redis · Temporal workflows
CI/CD: GitHub Actions · PM2 · Blue-green deploy
Infra: Server provisioning · SSL/DNS · VPC · Cloudflare

CLOUD_AWS(1) User Manual

NAME

cloud_aws — production-grade cloud infrastructure on AWS.

SYNOPSIS

Compute: EC2 · Lightsail
Storage: S3 · RDS · CloudFront
Network: Route 53 · VPC · Load Balancing
Platforms: GoHighLevel marketplace

AI_PRODUCTS(1) User Manual

NAME

ai_products — building production AI systems with LLMs.

SYNOPSIS

LLMs: OpenAI · Anthropic · Gemini · Llama
Products: Voice AI · Customer support · AI SEO · AEO · GEO
Pipelines: Embeddings · Vector search · RAG · Agents
DB: PostgreSQL · MongoDB · Redis · Qdrant · ClickHouse

Total Contributions
LOADING
Public Repos
GITHUB
Current Streak
DAYS
Experience
PROFESSIONAL

jobs --history

2 ENTRIES
[1] SOFTWARE ENGINEER @ SPACESOFT.CO
OCT 2023 → PRESENT
Product & Leadership
Own the full product lifecycle — from researching user problems and scoping solutions to breaking them into sprints and shipping to production.
Lead a team of engineers: run sprint planning, conduct PR reviews, enforce code quality standards, and unblock team members daily.
Mentor junior engineers through pair programming, code reviews, and structured feedback — lifting team output and reducing review cycles.
Engineering
Design and implement critical features personally — architecture decisions, complex integrations, and performance-sensitive paths that need senior-level ownership.
Shipped multiple AI products end to end — voice AI, customer support automation, AI SEO/AEO/GEO — integrating OpenAI, Anthropic, and open-source LLMs into production systems.
Improved API performance through async patterns and caching strategy — cut CPU usage ~80% on data-intensive endpoints in production.
Built GoHighLevel marketplace apps and a subscription & billing system handling paid usage across multiple client accounts.
DevOps & Infrastructure
Own the entire production environment — set up and maintain AWS infrastructure (EC2, S3, CloudFront, RDS, Route 53, VPC) and self-managed servers.
Designed and implemented CI/CD pipelines with GitHub Actions — zero-downtime deploys, environment promotion, and automated rollback on failure.
Containerized all services with Docker; configured Nginx/Traefik reverse proxies with automated HTTPS and service-level routing.
FastAPI Fastify Next.js tRPC Drizzle ORM Turborepo Docker Compose BullMQ Temporal Redis OpenAI · Anthropic AWS GitHub Actions PostgreSQL GoHighLevel
[2] FULL STACK ENGINEER @ MIICON SOFTWARE SOLUTIONS
SEP 2022 → OCT 2023
Built an automated trip-request system assigning drivers based on trip requirements — improved booking efficiency and satisfaction.
Developed an application-management backend tracking recruiter and applicant submissions end to end.
Cut API response time by 50% on data-intensive requests using asyncio and multithreading.
Built an API gateway for a multi-tenant system handling requests across 5 microservices — centralizing routing, auth, and authorization.
Added unit testing with Django's test framework and owned related execution tasks.
Django Python PostgreSQL Redis asyncio Microservices

cat research.md

1 PUBLICATION
auto_stories
Undergraduate Thesis · BRAC University · 2022
Deep Learning · CV

Generation of Realistic Images from Hand-Drawn Sketches Using Deep Learning

A deep learning approach to synthesising photorealistic images from hand-drawn sketch inputs using Conditional Generative Adversarial Networks (cGAN). The model learns a paired sketch-to-image mapping, enabling automated generation of realistic outputs from simple drawings — applied as part of undergraduate thesis research at BRAC University.

Conditional GAN TensorFlow 2.2 Computer Vision Image Synthesis Python
open_in_new view on DSpace BRACU

cat github_activity.log

LIVE
CONTRIBUTION_MAP.SYS REF: github/Btocode
loading contribution data...
less
more
Commits
Pull Requests
Issues

Commit Velocity

TOTAL / YEAR

Current Streak

— DAYS bolt

Core Stack

loading...
folder_open ~/projects — ls -la
ITEMS: 6
NAME STATUS

cat contributions.log

PROFESSIONAL

Products and SaaS platforms I've built features for, contributed to, or shipped as part of a team.