SJTU-> USC @ FORTIS Lab LLM Reasoning | Agentic System | World Model
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Telegrambot
March 4, 2026 – Present
⚽ A viral Telegram football roast bot for the 2026 World Cup. Generate savage roast images, fake betting slips, and absurd VAR decisions using AI.
View ProjectSovereign-OS
March 4, 2026 – Present
Constitution-first AI orchestration: one Charter (YAML) defines mission, budget & rules. CEO plans → CFO approves → Ledger tracks every cent & token → Auditor scores. 16 workers, Stripe, MCP. Think. Audit. Execute.
View ProjectAegis
March 4, 2026 – Present
Runtime policy enforcement for AI agents. Cryptographic audit trail, human-in-the-loop approvals, kill switch. Zero code changes.
View ProjectLithos.AI
January 24, 2026 – Present
A modern SaaS platform for renewable material construction management. Features AI-powered blueprint generation, real-time factory monitoring, construction progress tracking, and environmental impact analysis. Built with React 19, TypeScript, and Tailwind CSS.
View ProjectEasylearningsniper
September 8, 2025 – September 10, 2025
Easylearningsniper — repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, innovative, and often ambitious projects, including several related to AI/ML and system orchestration. This suggests a proactive and self-driven individual. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative corporate environment. The projects are diverse in technology but consistently lean towards AI/ML and system building, which aligns with a Data Scientist role, especially one involving deployment or MLOps aspects. The absence of traditional data science projects (e.g., statistical modeling, advanced analytics, specific machine learning algorithms beyond general AI concepts) might indicate a broader interest in AI engineering rather than pure data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an interest in complex problem-solving and innovation, but there is no information on collaboration, communication, or work attitude.