About Abdulrahman
Recent work:
What I usually handle:
- Voice AI architecture (Pipecat, LiveKit, Daily, Twilio, Telnyx, WebRTC)
- Multi-agent orchestration (LangGraph, LangChain, Firebase Genkit, Pydantic-AI)
- RAG pipelines: pgvector, BM25 hybrid retrieval, cross-encoder reranking, semantic caching
- The full production stack around AI: FastAPI, Next.js, Supabase, GCP, Kubernetes
English
Native or bilingual
Arabic
Native or bilingual
Experience
- Addis CareSenior AI/ML Engineer & Full-Stack ArchitectTECHFebruary 2025 - Today (1 year and 4 months)California City, United States• • Engineered HIPAA-compliant application architecture with secure authentication and data handling across all services and AI modules.• • Designed a multi-agent conversational AI system in Firebase Genkit with an orchestrator coordinating task delegation across specialist agents.• • Built a HIPAA-compliant clinical decision support agent using RAG over resident notes, delivering real-time ADL/IADL summaries to care staff.• • Developed a real-time LiveKit voice agent and a Gmail-integrated RAG system for natural voice and email-based queries, backed by a Next.js/React full-stack implementation.
- Hams.AIAI/Software EngineerTECHJanuary 2026 - March 2026 (2 months)Riyadh, Saudi Arabia• • Architected production backend for a real-time voice AI platform with FastAPI, SQLAlchemy, PostgreSQL, Redis caching, and Alembic migrations.• • Built streaming STT-LLM-TTS voice servers on Pipecat + WebRTC (Daily) with multi-provider support across OpenAI, Groq, ElevenLabs, Deepgram, and AWS Transcribe/Polly.• • Designed a multi-node conversational flow engine with conditional branching, variable extraction, and agent transfer, validated through Pydantic 2.x schemas.• • Delivered multi-agent orchestration with squad-based handoff, integrated with Twilio, Telnyx, and Daily for concurrent production call handling.
- PSHubFull-Stack Architect & AI EngineerTECHJuly 2025 - Today (11 months)Saudi Arabia• • Architected a Next.js 16 / React 19 / Supabase B2B marketplace (68K+ LoC monorepo) connecting Gulf event organizers with suppliers.• • Engineered "Hubby," a LangGraph v1 multi-agent system (Supervisor + Planner + 5 workers, 26+ tools) with risk-classified HITL approvals and streaming chat over OpenRouter with model fallback.• • Implemented a 3-tier AI memory system combining BM25 + pgvector hybrid search, Redis semantic response caching, and auto-embedding pipelines for supplier-project matching.• • Designed a PostgreSQL schema with 64 tables, 350+ RLS policies, 45+ functions, 38+ triggers, 200+ indexes, and pgmq async queuing; deployed on Google Cloud Run with Cloud Build CI/CD.
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Education
- B.S. in Artificial IntelligenceMenofia University2026B.S. in Artificial Intelligence