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AZMATH-DOT/README.md

Hi, I'm Azmath Ahmed (he/him) 👋

Cloud & DevOps Engineer · AI/ML Enthusiast · Full Stack Developer
I build scalable systems, automate everything, and ship intelligent apps.

Followers Stars LinkedIn


🚀 What I’m about

  • Designing scalable, cloud-native platforms and reliable CI/CD pipelines
  • Containerization, orchestration, and DevOps automation
  • Exploring AI/ML to bring intelligence into apps
  • Open to collaborating on Cloud, DevOps, and full‑stack projects

📬 Reach me: [email protected] · LinkedIn


🛠️ Tech I like working with

  • Cloud & DevOps: AWS, Kubernetes, Docker, Terraform, GitHub Actions
  • Languages: Java, Python, JavaScript, Bash
  • Platforms/Tools: Linux, Apache Tomcat


🤖 AI, Automation, and Generative Media

  • Agent creation & automation

    • Tool-using and multi-agent systems (LangChain/LangGraph, AutoGen, CrewAI) with function calling/tools
    • Workflow automation with n8n/Zapier; schedulers, scrapers (Playwright), enrichment, notifications
    • DevOps/SRE agents: runbook automation for AWS/Kubernetes/Terraform, alert triage, on-call helpers
    • Integrations: Slack, Discord, GitHub, JIRA, Gmail, Notion, Google Drive, REST/GraphQL APIs
  • Image creation

    • SDXL/Flux pipelines (ComfyUI/Invoke): text-to-image, in/outpainting, ControlNet, IP-Adapter, style transfer
    • Upscaling/cleanup (Real-ESRGAN), background removal, batch asset packs (thumbnails, icons, mockups)
  • Video generation

    • Text-to-video / image-to-video with Pika, Runway, Luma Dream Machine, Stable Video Diffusion (where available)
    • Animation/motion: AnimateDiff, Deforum; scene stitching, captions/subtitles
    • Avatars & lip-sync (Wav2Lip, SadTalker) + voiceover (ElevenLabs, XTTS)
    • Auto-editing and packaging with ffmpeg/Auto-Editor
  • AI web‑series pipeline

    • Concept → script → storyboard → shot list → asset generation → voiceover → edit → publish
    • Episode scheduling, prompt/version management, reuse of characters/worlds
  • Chatbots & RAG

    • Domain chatbots with retrieval over PDFs, websites, and code
    • Vector search: Pinecone, Qdrant, pgvector/FAISS; eval, guardrails, analytics dashboards
  • Data/ML Ops

    • Fine-tuning/LoRA for LLMs and diffusion models; experiment tracking (W&B/MLflow)
    • Serving/inference: FastAPI, Docker, KServe; monitoring: Prometheus/Grafana
    • Pipelines: Airflow/Prefect; labeling: Label Studio; transcription: Whisper
  • Models & providers

    • Open-source: Llama, Mistral, SDXL/Flux, Whisper
    • Managed APIs: OpenAI, Anthropic, Google, Cohere, Stability AI, Luma (as available)

💻 Full‑Stack Development

  • Frontend: React, Next.js, TypeScript, Tailwind CSS
  • Backend: Node.js (Express/NestJS), Python (FastAPI/Flask), Java (Spring Boot)
  • APIs & auth: REST/GraphQL, WebSockets, OAuth2/OIDC, JWT, RBAC
  • Databases: PostgreSQL, MySQL, MongoDB; ORM: Prisma/SQLAlchemy/Hibernate
  • Caching/queues: Redis, Kafka/RabbitMQ; file/object storage: S3
  • Testing & quality: Jest, Pytest, Playwright; clean architecture & best practices

☁️ Cloud & DevOps (for productionizing all the above)

  • AWS: EKS/ECS, Lambda, S3, RDS, CloudFront; IaC: Terraform
  • Containers & K8s: Docker, Helm, Argo CD; CI/CD: GitHub Actions
  • Observability & security: OpenTelemetry, ELK, Grafana; IAM, secrets (SSM/Vault), image scanning (Trivy)

📌 Featured projects


📊 GitHub stats


🔎 Roles I’m open to

  • AI Engineer / Agentic AI / Automation Engineer
  • Generative Media (image/video) Engineer
  • Full‑Stack Developer
  • Cloud & DevOps Engineer

💡 Fun fact: If it can be automated, I probably will.

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