Software Engineer | AI & ML Practitioner | Full‑Stack (Python / JavaScript) | Cloud Enthusiast
I build practical AI systems and developer tooling — with a focus on clean architecture, experiment velocity, and production robustness.
Project | What It Is | Highlights |
---|---|---|
ZamAI | Modular AI platform / toolkit | Pluggable pipelines, model experimentation, config-driven workflows |
ZamAI-Zeerak | Extension / companion to ZamAI | Advanced inference utilities, observability hooks, evaluation harness |
Ask me about designing maintainable ML experimentation layers or bridging research-to-production.
- Languages: Python, JavaScript (TypeScript-ready)
- AI / ML: Modeling workflows, evaluation pipelines, prompt/tool orchestration
- Web Dev: API design (FastAPI/Express), modular frontends, integration patterns
- Cloud & Ops: Containerization, reproducible environments, deployment hygiene
- Architecture Focus: Separation of concerns, configuration ergonomics, testability
- Data & model version traceability
- Explicit contracts over "magic"
- Small, composable abstractions
- Metrics + observability first
- Automation over repetition
- Enhancing ZamAI’s extensibility surface
- Improving evaluation + feedback loops in AI-assisted apps
- Exploring lightweight agentic patterns without over-engineering
Area | Example |
---|---|
ML Platform | Unified config & experiment DSL |
Evaluation | Automated regression scoring for model updates |
Tooling | Dev-friendly SDKs for AI features |
Observability | Latency / quality dashboards for inferencing |
- GitHub: https://github.com/tasal9 (primary hub)
- (Add more: LinkedIn / X / Email if you want—just tell me and I’ll slot them in)
ZamAI
ZamAI-Zeerak
(any deployment or examples repo)
If you’d like:
- I can add shields, workflow badges, or a dynamic “recent activity” section.
- Provide a CONTRIBUTING.md template for external collaborators on ZamAI.
- Generate architecture diagrams (Mermaid) for ZamAI once you share structure.
Let me know and I’ll iterate.