
AI Systems Engineer | Bridging Deep Learning & Physical Autonomy | MEng AI @ PoliTo | Aspiring Tech Entrepreneur
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AURORA
June 28, 2026 – Present
Adaptive Unified Runtime for Operational Reasoning and Autonomous Coordination
View ProjectTALOS
June 23, 2026 – Present
Tensor Allocation Layer for Onboard Systems: Safety-aware resource arbitration and execution isolation for edge robotics. Built for environments where GPU starvation is not an option.
View ProjectSynthoSpine-DRR
June 16, 2026 – Present
Geometry-aware sparse X-ray/DRR to 3D reconstruction prototype for medical-imaging R&D.
View ProjectEdge-VLA-Micro
May 23, 2026 – Present
An asynchronous, neuro-symbolic VLA (Vision-Language-Action) orchestration stack for edge autonomy. Fuses probabilistic Qwen2-VL visual reasoning and faster-whisper ASR with deterministic PX4/MAVSDK flight-control loops and HSV color guardrails.
View ProjectWheeled-Loco-RL-Analytics
May 17, 2026 – Present
Wheeled-Loco-RL-Analytics — GitHub repository
View ProjectHumanoid-Motion-Diffusion
May 10, 2026 – Present
Official implementation of Humanoid-Motion-Diffusion, leveraging generative diffusion models to synthesize advanced motion controllers for humanoid robots and legged locomotion research.
View Projectlumina
April 27, 2026 – Present
Adaptive Memory Operating System for LLM Inference on Apple Silicon.
View Projectzurich-ai-hack-25
September 26, 2025 – November 25, 2025
AI-powered assistant for UBS wealth advisors, transforming unstructured client conversations into clear, prioritized, and growth-driving advisor actions.
View ProjectPostGenius
December 7, 2024 – June 9, 2025
AI agent capable of autonomously retrieving the most relevant daily news articles, summarizing them, and generating engaging social media posts in multiple formats, including text, images, videos, and memes, based on user-defined inputs.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards cutting-edge research and development, particularly in AI, robotics, and autonomous systems. This aligns well with a culture that values innovation, deep technical problem-solving, and hands-on development. The breadth of technologies used (Python, Rust, C++, CUDA, TypeScript) suggests a versatile and curious individual. However, the projects are predominantly personal, which, while demonstrating initiative, doesn't provide insight into collaborative work environments or experience within established organizational structures. The target role is 'Data Scientist', but many projects lean more towards AI/ML engineering, robotics, and system-level optimization rather than pure data science (e.g., statistical modeling, large-scale data analysis, A/B testing). This might indicate a slight mismatch in the core focus, though the underlying AI/ML skills are highly relevant.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong drive for innovation and problem-solving, particularly in challenging domains like edge AI and robotics. The diversity of projects indicates adaptability and a proactive approach to learning new technologies. However, without formal assessment data (English Test, Psychometric Test), it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration directly. The detailed project descriptions imply good technical communication skills.