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PhD student @ UC Berkeley at @ucbrise and @NetSys, Bytedance Seed. CS @ Yale, @Yale-LILY, @Thesys-lab @ CMU. Prev. @Databricks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UC Berkeley
Data Scientist
June 28, 2026 – Present
spothedge_ae
February 7, 2025 – February 27, 2025
Code and instructions used in EuroSys 25' paper: SpotHedge: Serving AI Models on Spot Instances.
View Projectuccl
January 6, 2025 – Present
UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)
View Projectfast23-GLCache
December 17, 2022 – May 12, 2023
Repository for FAST'23 paper GL-Cache: Group-level Learning for Efficient and High-Performance Caching
View ProjectDYLE
October 14, 2021 – August 2, 2023
Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
View Projectskypilot
August 11, 2021 – Present
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
View ProjectSummerTime
March 18, 2021 – September 30, 2023
An open-source text summarization toolkit for non-experts. EMNLP'2021 Demo
View Projectyale-lily.github.io
May 9, 2017 – January 23, 2025
yale-lily.github.io — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and research-oriented, indicating a strong drive for independent technical exploration and contribution to open-source/academic communities. The breadth of technologies and problem domains (AI infrastructure, NLP, GPU optimization, caching) suggests adaptability and a willingness to tackle diverse challenges. However, the lack of team-based project descriptions or explicit collaboration details makes it difficult to fully assess cultural fit in a collaborative corporate environment.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions suggest a strong focus on technical problem-solving and research.