ML Engineer/Data Scientist. MS in Data Science from KTH, Sweden & TU Eindhoven, Netherlands
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Salesforce
Data Scientist
June 16, 2026 – Present
resilient_nlp
March 8, 2022 – May 25, 2022
MockingBERT: Making Transformer Models Resilient to Adversarial Misspellings
View Projectcoursera_ds_competitions
June 22, 2018 – July 10, 2018
coursera_ds_competitions — GitHub repository
View Projectname_matching
June 11, 2018 – June 13, 2018
Name matching using Approximate Nearest Neigbours
View Projectkaggle_mercedes_benz
July 11, 2017 – June 22, 2019
Code for Kaggle Mercedes Greener Manufacturing Challenge
View Projectlstm_anomaly_thesis
May 1, 2017 – October 5, 2021
Anomaly detection for temporal data using LSTMs
View Projectakash13singh.github.io
January 26, 2017 – April 20, 2017
akash13singh.github.io — GitHub repository
View ProjectSpectral-Graph-Partitioning
December 16, 2016 – January 8, 2017
Spectral Graph Partitioning based on http://ai.stanford.edu/~ang/papers/nips01-spectral.pdf
View Projectmxnet-for-cdl
November 1, 2016 – March 4, 2017
Collaborative Deep Learning for Recommender Systems.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in machine learning and data science, aligning well with a Data Scientist role. The diversity of projects (NLP, time series, recommender systems, graph partitioning) suggests a broad intellectual curiosity. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and cultural fit comprehensively.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.