Cloud & DevOps Engineer · AI/ML Enthusiast · Full Stack Developer
I build scalable systems, automate everything, and ship intelligent apps.
- 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
- Cloud & DevOps: AWS, Kubernetes, Docker, Terraform, GitHub Actions
- Languages: Java, Python, JavaScript, Bash
- Platforms/Tools: Linux, Apache Tomcat
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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
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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)
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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
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AI web‑series pipeline
- Concept → script → storyboard → shot list → asset generation → voiceover → edit → publish
- Episode scheduling, prompt/version management, reuse of characters/worlds
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Chatbots & RAG
- Domain chatbots with retrieval over PDFs, websites, and code
- Vector search: Pinecone, Qdrant, pgvector/FAISS; eval, guardrails, analytics dashboards
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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
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Models & providers
- Open-source: Llama, Mistral, SDXL/Flux, Whisper
- Managed APIs: OpenAI, Anthropic, Google, Cohere, Stability AI, Luma (as available)
- 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
- 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)
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EKS Microservices Platform
https://github.com/AZMATH-DOT/https-github.com-AZMATH-DOT-eks-microservices-platform
Kubernetes-focused microservices playground on AWS EKS with containerized services. -
Tomcat Docker Example
https://github.com/AZMATH-DOT/tomcat-docker-example
Containerized Java/Tomcat app showcasing a simple Dockerized deployment. -
Docker Project
https://github.com/AZMATH-DOT/Docker-project
Assorted Docker experiments and examples.
- 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.