AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UIUC
Backend Engineer
June 19, 2026 – Present
SSD_EfficientNet
June 28, 2019 – July 19, 2019
SSD using TensorFlow object detection API with EfficientNet backbone
View Projecttensorflow_cpp_object_detection_web_server
June 1, 2018 – June 1, 2018
This is an example how to run a TensorFlow object detection model as web server in TensorFlow C++ API.
View Projecttensorflow_retinanet
October 20, 2017 – July 19, 2019
RetinaNet with Focal Loss implemented by Tensorflow
View Projectobject_detection_papers_summary
August 19, 2017 – October 27, 2017
summary of deep learning object detection algorithms released in recent years
View ProjectDataset_to_VOC_converter
August 9, 2017 – June 12, 2021
Scripts to convert datasets (Caltech pedestrian, MS COCO, HDA) to PASCAL VOC format
View Projecthikvision-fisheye-camera-calibration
July 17, 2017 – July 17, 2017
calibrate hikvision fisheye IP camera and undistort frame
View Projecttime_seires_prediction_using_lstm
August 23, 2016 – February 8, 2017
Time series prediction using LSTM classifier
View Projectcustomer_lifetime_value_prediction
June 22, 2016 – July 1, 2016
CLV prediction with pareto-NBD model
View Projectcustomer-potential-value-prediction-
May 20, 2016 – May 20, 2016
We use python to predict a customer's potential value based on his historical transaction behaviours without survey data
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on machine learning, computer vision, and data science, which may not directly align with a general 'Backend Engineer' role without further clarification on the specific backend needs. The current experience lists 'Backend Engineer' at UIUC, but no details are provided. The project diversity is within a narrow technical domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily technical implementations without details on collaboration or problem-solving approaches.