Antonino Grasso
Software Engineer · M.Sc. Computer Science
- Munich, Germany
- antonino.grasso.it@gmail.com
- GitHub
Summary
Software engineer with breadth across backend, cloud infrastructure, and AI systems. Shipped a token-based licensing system to 10+ enterprise tenants in production, then took solo ownership of a physical-AI R&D project with a working multi-agent prototype running on NVIDIA Jetson. Comfortable owning problems end-to-end — from ambiguous brief through deployment — across unfamiliar domains. M.Sc. Computer Science, grade 1.2.
Experience
Physical AI Midlayer · R&D Engineer — Device Insight GmbH
For a leading robotics manufacturer's CTO Office — intent-based robotics R&D, embedded AI, multi-agent orchestration.
- Solo engineer on a physical-AI R&D platform — translating ambiguous CTO-Office briefs into working prototypes, architecture proposals, and platform-evolution decisions
- Built a working multi-agent orchestration prototype running on NVIDIA Jetson — evaluated LangGraph and Microsoft Agent Framework hands-on, picked direction, prototyped on-device inference (vLLM, quantization) and error-tolerant task execution
- Currently building ROS2-MCP interop — bridging the robotics-engineering side of the platform with the agentic orchestration layer; hands-on across MCP servers, embedded runtimes, and agent observability
- Authored an 80-page internal whitepaper that drove platform-evolution decisions — selected which components advance to next-stage research, which architectural directions the platform takes
Mosaixx · Software Engineer — Device Insight GmbH
Cloud-native SaaS — collaborative engineering platform on AWS, shipped to 10+ enterprise tenants.
- Designed and shipped the token-based licensing system end-to-end — product requirements, database schemas and Flyway migrations, observability instrumentation, and dev/stage/prod rollout. Live with 10+ enterprise tenants.
- Built the add-on management feature (S3 upload, association, lifecycle state changes, deletion) and integrated cloud-based software licensing — both demoed live at Automatica 2025 and shipped in the October 2025 release
- Owned platform-wide observability — instrumented backend services with OpenTelemetry, set up tracing and metrics, built the local observability stack used across both dev teams
- Worked across backend, AWS infrastructure (AppStream, ECS), and DevOps — generalist scope on a 3–5 engineer team, one of two delivery teams in a ~20-person product org
- Collaborated closely with PMs, POs, and Go-to-Market on prioritization and product direction; represented the product at Automatica 2025 with live customer demos
Dual Student, Software Engineering — Device Insight GmbH
Dual study programme — alternating university semesters and full-time engineering rotations across IoT projects.
- Designed an AWS Cognito-based auth/authz system for an IoT product line — shipped during the dual-study period and still running in production today
- Rotated across HVAC, access control, and green-energy IoT projects — built early breadth across production distributed systems, end-to-end lifecycle exposure (architecture → engineering → operations), and fast onboarding into unfamiliar contexts
Education
M.Sc. Computer Science (Software Engineering) — Hochschule München
- Final grade: 1.2
- Thesis: Navigating the Space Between Serverful and Serverless: Benefits, Drawbacks, Challenges and Mitigations
- Dual study (ICS model) @ Device Insight GmbH
- Student Tutor (undergraduate CS coursework), Mar 2024 – Jul 2024
B.Sc. Computer Science — Hochschule München
- Final grade: 1.4
- Thesis: Construction of a Software Solution for Detection of End-of-Support Dependencies
- Dual study (ICS model) @ Device Insight GmbH
Technical Skills
- Languages & Frameworks
- Python, Kotlin, Ktor, Java, Spring, Go
- AI & Agentic Systems
- LangGraph, Microsoft Agent Framework, MCP, vLLM, NVIDIA Jetson / TensorRT, quantization, ROS2, Ollama, llama.cpp, Edge AI
- Cloud
- Lambda, EKS, ECS/Fargate, AppRunner, SQS, SNS, API Gateway, CloudFront, Route 53, VPC, CloudWatch, AppStream 2.0, Azure Functions, Azure EventHubs
- Databases
- PostgreSQL, Aurora/RDS, DynamoDB, S3, InfluxDB
- DevOps & IaC
- Docker, Kubernetes, Terraform, Terragrunt, GitLab CI/CD, Azure DevOps
- Observability
- Grafana, OpenTelemetry, distributed tracing
- Methods
- Software Architecture, Distributed Systems, Requirements Engineering, Agile/Scrum