
AI Research Engineer @ Alphasense | Ex-MSFT | Kaggle Competitions Master
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Alphasense
AI Research Engineer
June 13, 2026 – Present
Amazon-ML-Challenge-2023-4th-Place
April 27, 2023 – July 19, 2024
4th Place Solution of Amazon ML Challenge 2023
View ProjectJigsaw-Rate-Severity-of-Toxic-Comments-84th-Place
June 22, 2022 – June 22, 2022
Jigsaw-Rate-Severity-of-Toxic-Comments-84th-Place — GitHub repository
View ProjectU.S.-Patent-Phrase-to-Phrase-Matching-96th-Place
June 22, 2022 – June 22, 2022
U.S.-Patent-Phrase-to-Phrase-Matching-96th-Place — GitHub repository
View ProjectFeedback-Prize---Evaluating-Student-Writing-14th-Place
May 2, 2022 – May 2, 2022
Feedback-Prize---Evaluating-Student-Writing-14th-Place — GitHub repository
View ProjectAmazon-ML-Challenge2021
August 7, 2021 – August 8, 2021
Scripts and Approach for Amazon ML Challenge
View ProjectTailgating-Detection
May 23, 2021 – June 6, 2021
Tailgating detection using Instance Segmentation and bounding box tracking via a fine-tuned Mask RCNN model
View ProjectChinese-MNIST-using-CNN
October 19, 2020 – October 19, 2020
3 approches for chinese mnist using cnn
View ProjectCultural Fit Analysis
The candidate's project history shows a strong focus on competitive machine learning challenges, indicating a drive for problem-solving and performance. The diversity of ML problems tackled (NLP, computer vision, general ML) suggests adaptability. However, the projects are predominantly personal and competitive, with limited insight into collaborative team environments or broader software engineering practices beyond ML scripting. The current role as an AI Research Engineer at Alphasense suggests a professional alignment with research and development in AI.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and a current role.