I’m Faiz. I build AI‑orchestrated backends that ship.

Three years putting AI systems into production: agentic orchestration, backend architecture, and pipelines used by thousands of users.

Now on the Core Team at Ember AI/Remotebase, building enterprise‑grade agentic SaaS products.

I like the whole path: model, API, infrastructure, and the audit trail that proves it’s safe.

Hand-drawn illustration of Faiz waving

Selected work

OPEN SOURCE

Deylee

A local-first time tracker for macOS. Every write lands in SQLite first, so the timer keeps running with no network at all. Only hours ever sync, never how the work was done.

LIVE

AI Portfolio Assistant

A retrieval assistant built on my own background. Ask it about my work by text or voice, and it answers from the real material, not a canned FAQ.

OPEN SOURCE

mcp-clients

A Python SDK that makes Model Context Protocol clients trivial to wire up: automatic tool discovery, interactive chat, customisable async workflows.

Experience

Nov 2025 — Present

Software Engineer II

Remotebase

Designing agentic, multi‑step orchestration so AI agents complete tasks autonomously across backend systems, and building the Python and NestJS APIs and AWS infrastructure beneath them. Also helped the company reach SOC 2 and HIPAA readiness by remediating gaps and tightening security protocols across the stack.

Dec 2024 — Nov 2025

AI Engineer

SkyElectric

Took SkyChat, a role‑based LLM assistant for internal teams, customers, and the public, from concept to running beta as the sole engineer. Built real‑time WhatsApp and LINE pipelines, and cut hallucinations with tool‑argument validation and tighter context windows.

“Faiz is innovative, detail-oriented, and consistently delivers reliable, high-quality code that addresses complex challenges.”

Abdul — Backend Architect, worked with Faiz at SkyElectric
Nov 2023 — Dec 2024

Associate Consultant AI

Dataropes.ai

Delivered AI solutions across multiple client engagements. Built a fully autonomous order‑management system wired to internal tools, so users create, track, and update orders in natural language while the agent handles execution, and designed the agentic evaluation loop that scored and improved its responses. Also shipped RAG pipelines over client documents and data formatting with AI.

Certifications and endorsements on LinkedIn ↗

Tools I reach for

AI & backend•Python•NestJS•FastAPI•REST API•GraphQL•OAuth•LangGraph•LangChain•CrewAI•AG2•MCP•RAG•LangSmith•TensorFlow•Scikit-learn•XGBoost•AI & backend•Python•NestJS•FastAPI•REST API•GraphQL•OAuth•LangGraph•LangChain•CrewAI•AG2•MCP•RAG•LangSmith•TensorFlow•Scikit-learn•XGBoost•
Data & infra•PostgreSQL•Redis•Elasticsearch•MongoDB•Pinecone•ChromaDB•Docker•AWS•GCP•Webhooks•WhatsApp API•LINE API•Stripe API•Pandas•NumPy•Matplotlib•Seaborn•Data & infra•PostgreSQL•Redis•Elasticsearch•MongoDB•Pinecone•ChromaDB•Docker•AWS•GCP•Webhooks•WhatsApp API•LINE API•Stripe API•Pandas•NumPy•Matplotlib•Seaborn•

Building something ambitious with AI?

I’m open to interesting problems, especially with early‑stage teams turning an AI idea into something real.