A.B. Computer Science; Secondary in Neuroscience. May 2027.
Coursework includes computing at scale, reinforcement learning, AI safety, biological and artificial intelligence, operating systems, algorithms, machine learning, probability, data science, computing hardware, and computational neuroscience.
Forward Deployed Engineer, 2026.
Building the runtime security layer for production AI agents: least-privilege tool access, sandboxed execution, permission boundaries, approval gates, and auditable control over agent actions.
AI Engineer & Technology Advisor, 2026.
Designed and built government AI systems spanning internal knowledge, legislation, public records, retrieval, and agentic workflows, while advising on sovereign AI architecture, compute infrastructure, and national technology strategy.
Software Engineer Intern, 2025.
Built evaluation, fine-tuning, and continual-learning systems for an AI analytics agent, including a closed-loop pipeline from verified answers into training data.
Software Engineer Intern, 2024.
Built ad infrastructure and early AI systems for generating and ranking high-converting landing pages.
A machine-readable national data layer across 27 government sources and 1M+ raw records, with MCP tools for source-grounded access to legislation, companies, procurement, courts, finance, and public records. technical note →
Training open models for government use across BCMS language, legislation, and public-sector knowledge.
A people-intelligence system for finding the right people across the Balkans and its global diaspora. talas.app ↗
A voice interface for querying Montenegro’s legislation and public records naturally.
Software team lead for an autonomous rover combining perception, SLAM, planning, and navigation.
Research engineering at Harvard SEAS: autonomous hypothesis generation and evaluation, and connectomics graph queries reduced from hours to minutes.
