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Rafi Ahmed

Typing SVG

📍 Sichuan University · Chengdu, China

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👋 About Me

  • Final-year Software Engineering undergraduate at Sichuan University.
  • Research Intern at the Machine Intelligence Lab (MIL), working on multimodal learning for medical imaging and clinical data.
  • Experienced in deep learning, computer vision, generative models, and data-intensive software.
  • Seeking graduate research opportunities in AI and Computer Science.

🔭 Research Interests

Area Topics
Medical AI Medical Image Analysis, Chest X-ray Analysis, Medical Vision-Language Models
Multimodal Learning Cross-Modal Alignment, Unified Representations, Contrastive Learning
Deep Learning Representation Learning, Multi-Label Classification, Transfer Learning
Explainable AI Model Interpretability, Grad-CAM, Explanation Faithfulness
Computer Vision Image Translation, Object Detection, Generative Models

🎓 Education

Sichuan University · Chengdu, China
B.Eng. in Software Engineering · Sep 2023 – Jul 2027 (Expected)

  • GPA: 3.41 / 4.00
  • IELTS Academic: 7.5

🔬 Research Experience

Research Intern · Machine Intelligence Lab (MIL), Sichuan University
Sep 2026 – Present
Undergraduate thesis: Multimodal Source-of-Gain Analysis for chest X-ray findings

  • Building a missingness-aware classifier that fuses chest X-rays with ECGs and blood tests on MIMIC data.
  • Designing controls to check whether accuracy gains come from the extra modalities.
  • Completed a feasibility pilot; now finalizing the protocol before the full experiments.

FaRe-CXR Explainable Chest X-ray Classification
May 2026 – Present
International research collaboration · Türkiye

  • Ran multi-label classification experiments with DenseNet-121 and multi-scale feature extraction on NIH ChestX-ray14.
  • Evaluated five findings across 27 runs (nine configurations × three random seeds).
  • Reached a validation macro-AUROC of ~0.83–0.84 and studied explanation faithfulness.

💼 Industrial Experience

Big Data Analytics Intern · Chengdu Suncaper Data Technology Co. Ltd.
Feb 2026 – Apr 2026
Project: YelpInsight · Repo · Demo

  • Processed ~6.7 million Yelp reviews with Apache Spark, PySpark, and Hive.
  • Integrated NOAA and Census datasets to derive 50+ analytical metrics.
  • Built interactive analytics dashboards with React, TypeScript, and FastAPI.
  • Contributed to a schema-aware natural-language-to-HiveQL application powered by DeepSeek APIs.

🤖 Academic & Technical Projects

FROST - Fuzzy-Rough Structure Preservation
Generative Models · Image-to-Image Translation · Granular Computing

  • Led a three-person project integrating fuzzy-rough structure masks into CycleGAN-Turbo training.
  • Compared four mask-generation methods across two datasets and both translation directions.
  • Fuzzy masks achieved the lowest FID in all four settings, improving it by 11.2% on Horse→Zebra and 9.6% on Day→Night.

Closed-Form Concept Erasure via Double Projections
Diffusion Models · Concept Erasure · Model Editing

  • Reproduced a closed-form concept-erasure method on Stable Diffusion 1.4.
  • Cut target-concept classification accuracy from 76% to 2%, with only a 2.8% average drop on other classes.

OSD-Insight
Object Detection · Open-Set Recognition · Uncertainty Estimation

  • Led a three-person project on unknown-object rejection with a frozen Faster R-CNN ResNet-50 FPN detector.
  • Evaluated confidence, energy-based, and semantic-uncertainty scoring on Open Images V7.
  • The energy-based baseline reduced A-OSE from 190 to 93; the adaptive approach raised AP from 0.485 to 0.505.

Clairo
Android Development · AI Voice Assistant · On-Device Inference

  • Led a five-person team building an Android AI voice assistant.
  • Integrated Flutter, Kotlin, ONNX Runtime, SenseVoice, and LLM APIs, with support for user-provided API keys.

🏆 Awards & Recognition

  • 🥉 Third Prize - vivo AIGC Track, China University Computer Competition, VIVO x Nankai Univeristy (2026)
  • 🏆 Grand Prize - National University Governance Case Analysis Competition, Fudan University (2026)
  • 📜 Excellent Student Certificate - HIT Global Summer School (2026)
  • 🎖️ Finalist - Delulu Hack, PayNet Malaysia (2025)
  • 🎓 Belt and Road Scholarship - Sichuan University (2023, 2024, 2025)

🛠️ Technical Skills

Category Technologies & Tools
Languages Python, C++, Java, JavaScript, TypeScript, Dart, SQL
AI / ML PyTorch, Torchvision, Hugging Face Transformers, Diffusers, LoRA / PEFT
Computer Vision OpenCV, ONNX Runtime
Frontend & Mobile React, Flutter, Kotlin
Backend & APIs FastAPI, REST APIs, Supabase
Big Data Apache Spark, PySpark, Hadoop, HDFS, Hive
Developer Tools Git, Linux, Docker, Android Studio

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