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MOE-VFFF
January 13, 2025 – January 23, 2025
Original code for the paper "Multi-Objective Evolutionary Optimization of Virtualized Fast Feedforward Networks", accepted at EvoStar 2025
View ProjectFast-Inf-FFF
August 5, 2024 – November 6, 2024
Original code for the paper "Fast-Inf: Ultra-Fast Embedded Intelligence on the Batteryless Edge", accepted at SenSys 2024
View Projectbcresnet-urbanclass
November 23, 2021 – December 13, 2021
bcresnet-urbanclass — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and research-oriented, focusing on academic contributions and niche technical areas like TinyML and embedded AI. While demonstrating strong technical depth, there is insufficient information to assess cultural fit within a typical corporate data science team, especially regarding collaboration, stakeholder communication, or business-driven project execution. The project diversity is good within the academic/research domain, but less so in terms of diverse industry applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on teamwork, communication style, or problem-solving approaches in a collaborative setting.