Multi-Agent Orchestration Systems
Demo On RequestMulti-agent operations platform with planner, executor, and reviewer agents coordinating long-running enterprise workflows with human approvals.
AI Engineer
Muhammad Qasim
I build AI products that ship: multi-agent systems, automation workflows, and computer vision pipelines designed for production reliability.
Current focus: agent orchestration, n8n automations, and practical AI systems.
Experience
Production Work
Roles where I owned reliability, performance, and delivery across data-heavy systems and real-world machine learning deployments.
Software Engineer
Motive
Sep 2025 – Present
9 mos · Remote
Fleet telemetry quality and scale constraints made it hard to deliver reliable real-time insights globally.
Architecture
Event-driven ingestion and validation pipeline feeding observability-first services deployed on AWS and Kubernetes.
Machine Learning Engineer
Cowlar Design Studio
Oct 2024 – Sep 2025
1 yr · On-site
On-device inference demanded low latency and stable performance on constrained hardware across varied use cases.
Architecture
Edge-first CV systems with model optimization, CI/CD-managed deployment, and monitored feedback loops.
AI Research Intern
TUKL-NUST R&D Center
Jun 2023 – Sep 2023
4 mos · On-site
Needed to quickly bridge research fundamentals and applied automation for real interaction sequences.
Architecture
Transformer fine-tuning workflow on domain-specific sequence datasets for interaction automation.
Services
What I Can Build For You
Each offering below is mapped to a real case-study style implementation, so you can see both capability and delivery quality.
n8n Automation Delivery
Demo On RequestAutomation backbone built in n8n for CRM sync, lead enrichment, inbound routing, and AI-assisted support triage across sales and ops.
Voice Agents For Restaurants
Live DemoMarketing landing page plus live browser voice demo for a restaurant AI call assistant that handles reservations, takeout, and promo outreach 24/7.
Computer Vision Quality Systems
Demo On RequestProduction computer vision inspection system for defect detection with explainable review traces for quality teams.
Agent Reliability & Observability
Demo On RequestObservability and diagnostics console for tracing agent runs, tool execution chains, retries, and failure classes across orchestration systems.
Case Studies
Proof Of Delivery
Service-level outcomes, architecture decisions, and measurable benchmarks for each engagement type.
Lead AI Engineer
AgentForge Ops
Multi-agent operations platform with planner, executor, and reviewer agents coordinating long-running enterprise workflows with human approvals.
Challenge
Operations teams were stuck in slow, manual workflows with inconsistent handoffs between systems.
Architecture
Event-driven orchestration with queue-backed agent steps, tool routing policies, eval checkpoints, and rollback-safe approval gates.
Results
- ›Agentic automation programs commonly target 30-50% reduction in repetitive knowledge workflow time.
- ›Structured approval gates improve reliability for high-impact operational actions.
- ›Queue-backed orchestration keeps long-running tasks resilient and auditable.
Next.jsPythonMulti-agentRedis QueueLLM Evals
Automation Architect
n8n Automation Fabric
Automation backbone built in n8n for CRM sync, lead enrichment, inbound routing, and AI-assisted support triage across sales and ops.
Challenge
Revenue and support teams lost time to manual routing, duplicate entries, and brittle handoff processes.
Architecture
Modular n8n workflow graph with idempotent webhooks, typed payload contracts, retry-safe branches, and failure alerts to ops channels.
Results
- ›Workflow automation programs commonly produce double-digit productivity gains.
- ›Idempotent webhook design reduces duplicate-processing incidents in production.
- ›Alert-backed retry flows reduce silent failure risk across critical automations.
n8nWebhook APIsPostgresOpenAISlack Integrations
Frontend + Voice AI Integration Engineer
Vector Voices
Marketing landing page plus live browser voice demo for a restaurant AI call assistant that handles reservations, takeout, and promo outreach 24/7.
Challenge
Restaurant operators need always-on call handling without sacrificing booking quality or caller experience.
Architecture
React 19 + TypeScript + Vite frontend, lazy-loaded Vapi WebRTC demo, real-time transcript event stream, accessibility-first interaction states.
Results
- ›Restaurant voice agents in this category are typically optimized for 85-95% reservation conversion.
- ›Operational targets emphasize sub-2 second response handling during peak call windows.
- ›Live demo availability improves qualification by letting prospects test the assistant before contact.
React 19TypeScriptViteTailwind v4Framer Motion@vapi-ai/web
Computer Vision Engineer
Vision Inspector
Production computer vision inspection system for defect detection with explainable review traces for quality teams.
Challenge
Quality teams needed higher defect detection accuracy without slowing production throughput.
Architecture
Two-stage pipeline: fast candidate proposal + precision validator model, with threshold tuning and human-in-the-loop feedback retraining.
Results
- ›Comparable production CV deployments often target ~98-99% defect detection performance.
- ›Human-in-the-loop threshold tuning helps keep false reject rates controlled.
- ›Automated inspection systems reduce manual QA burden while preserving auditability.
PythonOpenCVPyTorchEdge InferenceMLOps
Full-stack AI Engineer
Agent Observability Console
Observability and diagnostics console for tracing agent runs, tool execution chains, retries, and failure classes across orchestration systems.
Challenge
Teams adopting agents struggled to debug failures and trust production runs without deep trace visibility.
Architecture
Telemetry ingestion pipeline + timeline replay UI with run-level traceability, latency profiling, and structured failure classification.
Results
- ›Trace-level visibility improves incident triage and reduces MTTR in agent workflows.
- ›Run replay and failure categorization accelerate root-cause analysis.
- ›Operational telemetry improves confidence before scaling autonomous behaviors.
TypeScriptNext.jsTelemetryOpenTelemetryLLM Tracing
Side Quest
A quick chess break
I also play a lot of chess and solve puzzles like this one everyday.
Contact
Request A Demo
Share your use case and I will respond with a proposed solution scope and next steps.