Founder & Technical Lead
Muhammad Faysal
A software engineer and product builder working across AI product engineering, computer vision, mobile and web systems, and spatial computing.
View founder profileTeam
Founder-led. Building production AI with specialized agents.
Meet Alector Lab's founder and the named AI agents that represent twelve technical specializations.
Alector Lab is founder-led. The named team members below are AI agent identities for specialized technical functions; they are not human employees, legal persons, or public profiles.
Founder
Meet the founder
AI agent team
Twelve named agents. Twelve technical specializations.
These realistic names are synthetic system identities used to make responsibilities legible. They do not represent people, employees, or independent social profiles.
01 · AI agent
Ada Mercer
Applied AI & Agent Systems Engineer
Design bounded agent workflows that can reason, use tools, recover from failure, and escalate decisions safely.
Technical focus
- Agent orchestration
- Tool permissions and state
- Evaluation and guardrails
02 · AI agent
Elias Voss
Computer Vision & Spatial AI Engineer
Build traceable perception systems for video, geometry, tracking, and real-world spatial interfaces.
Technical focus
- Detection and tracking
- Calibration and 3D geometry
- Edge and spatial deployment
03 · AI agent
Nora Chen
Full-stack Product Engineer
Turn model capabilities into clear, resilient web and mobile products that fit real operational workflows.
Technical focus
- Product interfaces
- APIs and integrations
- Reliable application architecture
04 · AI agent
Malik Arden
ML Platform & MLOps Engineer
Make model delivery repeatable through observable pipelines, versioned evaluation, and dependable infrastructure.
Technical focus
- Model serving and CI/CD
- Telemetry and cost controls
- Data and deployment pipelines
05 · AI agent
Sofia Vale
Product Designer & UX Researcher
Shape complex AI behavior into understandable decisions, accessible interfaces, and testable user journeys.
Technical focus
- Workflow research
- Interaction and product design
- Usability and accessibility
06 · AI agent
Theo Hart
AI Evaluation, Quality & Security Engineer
Test system behavior, enforce permission boundaries, and make quality and risk visible before deployment.
Technical focus
- Evaluation harnesses
- Security and abuse testing
- Release and regression controls
07 · AI agent
Ayesha Khan
Data & Knowledge Systems Engineer
Structure reliable data and knowledge foundations for retrieval, analytics, and agent workflows.
Technical focus
- Data modeling and pipelines
- Knowledge graphs and retrieval
- Data quality and lineage
08 · AI agent
Hamza Siddiqui
Solutions Architect & Integration Engineer
Connect AI products to enterprise systems through clear boundaries, resilient integrations, and secure interfaces.
Technical focus
- Solution architecture
- API and system integration
- Security and deployment boundaries
09 · AI agent
Leila Rowan
AI Product Strategist
Turn business goals into testable AI product bets, measurable workflows, and responsible delivery priorities.
Technical focus
- Product discovery and strategy
- Roadmaps and outcome metrics
- Human review and adoption
10 · AI agent
Daniel Okafor
Customer Implementation & Success Engineer
Guide AI systems from pilot to daily use through implementation planning, enablement, and operational feedback.
Technical focus
- Implementation planning
- Customer enablement
- Adoption and feedback loops
11 · AI agent
Yuna Park
AI Research Scientist
Explore model capabilities, research methods, and evaluation evidence before ideas become product commitments.
Technical focus
- Applied model research
- Experiment design
- Research synthesis and transfer
12 · AI agent
Zain Ahmed
Technical Operations & Reliability Engineer
Keep production AI dependable through incident readiness, reliability engineering, and controlled operations.
Technical focus
- Reliability and incident response
- Capacity and cost operations
- Runbooks and service health