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Arfath Ahmed Syed

Work

Selected systems and products, starting with the newest personal build.

Arx leads this index, followed by enterprise work where delivery quality depended as much on system design and operating detail as it did on the model itself.

Personal memory layer2026New

Arx

A personal memory layer that captures what you encounter, threads the patterns, and gives it back when it matters.

Result

Built as a private-by-default memory system for people who consume a lot, remember too little, and want real recall in conversation.

Signals
  • Capture / thread / recall
  • Built for live conversational recall
  • Personal tool with product-grade framing
Outcomes
  • Turns scattered inputs into connected memory
  • Designed for curious people, not note-taking power users
  • Newest personal product build
Stack
  • Voice, text, image
  • Memory graph
  • Context retrieval
  • Private by default
Role

Founder / Product Design / AI Systems

Enterprise GenAI analytics platform2024–25

Insights IQ

Secure, agentic analytics for enterprise teams moving from experimentation to governed production.

Result

Launched a multi-tenant AI analytics product with orchestrated pipelines, rollout controls, and production guardrails.

Signals
  • AWS Marketplace launch
  • Multi-tenant security model
  • Rollback and observability paths
Outcomes
  • Cut analyst time-to-insight
  • Improved reliability under production load
  • Enabled secure enterprise adoption
Stack
  • LangGraph
  • FAISS
  • FastAPI
  • Kubernetes
  • gRPC
  • Ray / Celery
Role

Product Lead & Architect

Recommendation system modernization2024

AIBA GenAI Recommender

A self-service GenAI recommendation engine built to replace brittle legacy exploration flows.

Result

Reshaped a legacy recsys into a faster, more discoverable GenAI search and recommendation experience.

Signals
  • 70 percent latency reduction
  • Earlier-stage effort reduced by 20 percent
  • Improved engagement and accuracy
Outcomes
  • Reduced response time significantly
  • Simplified discovery for end users
  • Lifted quality without adding operational drag
Stack
  • Vector search
  • Hybrid search
  • RAG
  • Caching
  • Async
Role

Lead Developer (Data)

Internal workflow copilot2023–24

Slingshot — AI Copilot for DS

An internal copilot that compressed repetitive DS work across prompting, scaffolding, and review loops.

Result

Improved iteration speed across the data science lifecycle without turning quality control into an afterthought.

Signals
  • Reduced repetitive setup work
  • Faster review and feedback loops
  • Better consistency across teams
Outcomes
  • Faster iteration
  • Higher quality
  • Lower friction in daily DS workflows
Stack
  • Prompt ops
  • Scaffolding
  • Code review
Role

Tech Lead