AI & Machine Learning
Production model integration, perception pipelines, and LLM-driven workflow design.
Backend · Robotics · AI systems · Full-stack
I design, ship, and harden software where model behavior, APIs, infrastructure, and product UX all have to work together in the real world.
Nass Systems Console
/workspace/live-systems/status
Sellavie.ai
prod-readyAI social sales and commerce automation
Webhook Relay Inspector
observabilityverified ingest, replay, bounded retries
Robot Path Planner
simulationA* / Dijkstra / RRT simulation
Document QA Agent
retrievalRAG with chunk-level citations
Realtime Vision Dashboard
computer visionWebSocket stream with backpressure
Signal map
Model to Production
Visible modules
06
Primary stack
AI / API / ROS
Current state
Open to roles
Production systems
SaaS, AI workflows, backend tools, and robotics demos with runnable surfaces.
Hardened paths
Auth, abuse controls, validation, fallbacks, and observable service boundaries.
Abuja / remote
AI systems engineer building from Nigeria for real-world product constraints.
Built for
Engineering Focus
Multi-disciplinary stack — modern AI, production backends, robotics, and full-stack web. Picked for shipping, not for the resume.
Production model integration, perception pipelines, and LLM-driven workflow design.
Multi-tenant services, payment-grade reliability, and clean state-machine routing.
MSc-trained robotics engineering — perception to autonomous behavior.
Production storefronts, marketing sites, and dashboards — fast, accessible, on-brand.
Pragmatic shipping infrastructure — automated checks, observable deploys.
Deployed Modules
Live products, AI services, robotics simulations, and backend tools presented as operational modules.

Multi-tenant AI sales platform with a production backend, dashboard, and mobile app — automating customer conversations and connecting them to order, invoice, and payment workflows.
Tenancy
Business-scoped access
Channels
Social inbox automation

RAG-based document Q&A app — upload PDFs/text, ask questions, get answers with chunk-level citations. Runs in mock mode without paid LLM keys.
Pattern
Retrieve · Cite · Generate
Run mode
Mock or OpenAI-backed

Webcam / demo-feed object-detection dashboard with FastAPI WebSocket streaming, YOLO-ready detector abstraction, canvas bounding-box overlays, and live throughput / latency / confidence stats.
Stream
WebSocket + backpressure loop
Detector
Mock or YOLOv8 adapter

Event ingestion + live inspector: receive provider callbacks, browse payloads in real time, replay captured events, and forward matches with bounded retries.
Pattern
Ingest · Inspect · Replay · Forward
Reliability
Verified ingest + retries

Interactive 2D path-planning sandbox — paint obstacles, drop start/goal, and compare A*, Dijkstra, and an RRT-style planner with visited-cell visualization and live stats.
Planners
A* · Dijkstra · RRT-style
Stats
Cost · Visited · Runtime · Success

ROS-based quadruped guidance system using YOLO perception and audio feedback to support visually impaired users in navigation tasks.
Platform
Unitree Go1 + Gazebo
Perception
real-time YOLO pipeline
Selected Partner Builds
Summaries of recent partner work. Client-sensitive implementation details, internal tooling, private metrics, and operational access stay redacted.
Contract engineering via DZND.studio
Built production web surfaces for releases, merch, event listings, ticket checkout, delivery messaging, and door operations.
Contract product engineering via DZND.studio
Shaped buyer, seller, support, and operational flows around controlled transaction states and launch-readiness constraints.
Contract frontend delivery via DZND.studio
Delivered a public launch surface with token education, market context, tokenomics presentation, and user action paths.
Experience
nassamn.dev
Building production AI systems, backend services, and full-stack web products across SaaS, automation, and applied AI — including Sellavie AI and portfolio-grade engineering systems.
Smart Future Labs
Built ROS-based perception and autonomous navigation modules, integrated AI decision logic, and supported simulation-to-real deployment.
Lzyutes Brand
Developed AR-enabled web experiences and API-integrated front-end workflows focused on engagement and performance.
Heriot-Watt University
Robotics middleware, AI for robotics, autonomous systems, and applied ROS deployments.
Afe Babalola University
Software engineering, systems fundamentals, and applied computing for intelligent systems.
Lab Notes
Repo-backed notes on AI architecture, backend reliability, robotics demos, and how I talk about partner work without crossing client boundaries.
Field note 01
Field notes from a closed-source escrow build: retries, idempotency, scheduler locks, mobile money paths, and the gap between feature-complete and launch-ready.
Field note 02
A security and launch pass across the Sellavie backend, dashboard, mobile app, CI, logging, and generated artifact hygiene.
Field note 03
Building trial feedback collection and launch incentives — what looks like a simple feature once you trace it through billing, email, dashboard state, and admin settings.
Contact
Open to remote roles in AI Engineering, Backend Development, and Robotics Software — plus selective freelance and product collaborations.