update

Author: yang-i-hu

assets/images/sections/experiences/abama.png

@@ -55,6 +55,7 @@ enableEmoji: true
 params:
   # Background image of the landing page
   background: /images/site/background.png
+  mobileBackground: /images/site/mobile_background.png
 
   # Provide logos for your site. The inverted logo will be used in the initial
   # transparent navbar and the main logo will be used in the non-transparent navbar.

assets/images/site/mobile_background.png

@@ -25,7 +25,7 @@ I hold a **BS** from **UCSB** with a double major in **Mathematics** and **Stati
 With a foundation in mathematical and statistical modeling, my research interests lie in leveraging machine learning and deep learning models for innovative solutions. 
 I am experienced in modeling and extracting meaningful insights from complex, large-scale datasets across a diverse range of domains, including business, finance, sports, environmental science, and game industry, among others.
 <br/><br/>
-I am actively looking for 2025 summer internship opportunities in Machine Learning, Data Science, or Software Engineering roles!
+I am actively looking for 2026 New Graduate opportunities in Machine Learning, Software Engineering, or Quantitative Research roles!
 '
 
 # summary: 'I am a recent graduate from **UCSB** with a double major in **Mathematics** and **Statistics & Data Science**. With a foundation in mathematical and statistical modeling, my research interests lie in leveraging machine learning and deep learning models for innovative solutions. I am experienced in modeling and extracting meaningful insights from complex, large-scale datasets across a diverse range of domains, including business, finance, sports, and satellite imagery, among others.

config.yaml

@@ -20,10 +20,10 @@ degrees:
     logo: /images/sections/education/NYU.png
     # Can optionally show a different logo for dark theme
     darkLogo: /images/sections/education/NYU_White.png
-  # grade: #(optional)
-  #   scale: CGPA
-  #   achieved: 3.5
-  #   outOf: 4
+  grade: #(optional)
+    scale: GPA
+    achieved: 3.9
+    outOf: 4
   takenCourses: #(optional)
     # if true, the courses will be rendered as a table otherwise it will render as a list and the grades will be hidden.
     showGrades: false
@@ -35,6 +35,9 @@ degrees:
     - name: Operating Systems
     - name: Principles of Database Systems
     - name: Software Engineering
+    - name: Blockchain and Distributed Ledger Technology
+    - name: Big Data
+    - name: Network Security
 
   # publications: #(optional)
   # - title: Lorem ipsum dolor sit amet, consectetur adipiscing elit.

data/en/sections/about.yaml

@@ -10,6 +10,26 @@ section:
 
 # Your experiences
 experiences:
+- company:
+    name: Abama Private Fund Investment Management Co., Ltd.
+    location: Shanghai, China
+    logo: /images/sections/experiences/abama.png
+    # darklogo: /images/sections/experiences/
+    # company overview
+    # overview: "The world’s leading platform for creating and operating interactive, real-time 3D (RT3D) content. "
+  
+  positions:
+  - designation: Quantitative Research Intern
+    start: July. 2025
+    # don't provide end date if you are currently working there. It will be replaced by "Present"
+    end: Aug. 2025
+    # give some points about what was your responsibilities at the company.
+    responsibilities:
+    - Designed a parallelized data pipeline to transform raw event-level financial data into 300+ engineered featuresto feed high-frequency trading ML models, cutting data preparation from 8 h to 15 min.
+    - Delivered a live-updating factor store database powering large-scale model training and backtests; increased experiment throughput by ∼ 10× and enabled apples-to-apples model comparison during strategy reviews.
+    - Fine-tuned Transformers for trading signal prediction, improving annualized return by 3% in backtests.
+    - Built an automated feature-discovery framework that iteratively surfaces noise-robust, signal-strengthening factors, accelerating model iteration and reducing manual screening.
+
 - company:
     name: Unity
     url: "https://unity.com/"
@@ -20,15 +40,15 @@ experiences:
     # overview: "The world’s leading platform for creating and operating interactive, real-time 3D (RT3D) content. "
 
   positions:
-  - designation: R&D Sofeware Engineering Intern
+  - designation: R&D Software Engineering Intern
     start: May. 2024
     # don't provide end date if you are currently working there. It will be replaced by "Present"
     end: Aug. 2024
     # give some points about what was your responsibilities at the company.
     responsibilities:
-    - Scaled the RAG database for Unity’s AI assistant, Muse Chat, by developing a workflow that systematically gathers inputs from various Unity forums and enhances data quality with an LLM pipeline.
-    - Created MuseBench, a system using LLM-as-a-judge along with a benchmark dataset to evaluate the AI agents, achieving a 95% reduction in time required for assessment processes while minimizing human labor.
-    - Developed a pipeline with a locally deployed LLM to extract the key error messages from Unity Cloud Build log files that typically exceed 100k lines.
+    - Scaled the RAG knowledge base for Unity’s AI assistant via community and forum ingestion and LLM-based quality filtering; expanded answer coverage for Editor/API issues by ∼ 10×, improving first-response resolution.
+    - Built MuseBench, an evaluation platform that pairs an LLM-as-a-judge with a curated benchmark of Q&A pairs, enabling consistent scoring of RAG results across different model versions and cutting evaluation time by 95%.
+    - Deployed a local-LLM pipeline to parse 100k+-line Unity Cloud Build logs and extract root-cause signals; reduced triage from hours to minutes and accelerated time-to-fix for recurring build failures.
 
 - company:
     name: The Waves Lab at UCSB
@@ -66,15 +86,16 @@ experiences:
     overview: "Advisor: [Prof. Ding-jiang Huang](https://openreview.net/profile?id=~Dingjiang_Huang1)"
 
   positions:
-  - designation: Undergraduate Research Assistant
-    start: Aug. 2022
-    end: Jun. 2023
-    responsibilities:
-    - Trained and fine-tuned various CNN and transformer models for Image Super-Resolution
-    - Led a comprehensive ablation study to evaluate and refine the proposed architecture
-
-  - designation: Summer Intern
-    start: Jun. 2022
-    end: Aug. 2022
-    responsibilities:
-    - Conducted literature reviews on Image Super-Resolution deep learning models.
+    - designation: Undergraduate Research Assistant
+      start: Aug. 2022
+      end: Jun. 2023
+      responsibilities:
+      - "Co-authored the ACM MM '24 paper :'[Compacter: A Lightweight Transformer for Image Restoration](https://openreview.net/pdf?id=gvrDYlQXxw)', achieving state-of-the-art PSNR performance across different Image Restoration tasks with ~ 50% - 65% fewer parameters."
+      - Co-designed Compact Adaptive Self-Attention, enabling omnidirectional spatial–channel information flow through cross-modulation of global context to strengthen long-range dependencies while preserving local detail.
+      - Proposed a Dual Selective Gated Module that dynamically injects global context into each pixel for contextadaptive aggregation, amplifying informative features and suppressing noise.
+      - Built the PyTorch training/benchmarking pipeline and ran ablation experiments, enabling reproducible results and efficient comparison to baselines.
+    - designation: Summer Intern
+      start: Jun. 2022
+      end: Aug. 2022
+      responsibilities:
+      - Conducted literature reviews on Image Super-Resolution deep learning models.