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Engineer @microsoft
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microsoft
Data Scientist
June 20, 2026 – Present
firefox-ternary-parse-recursion
April 24, 2026 – Present
Minimal reproduction: Firefox SpiderMonkey parser throws InternalError: too much recursion on deep ternary chains
View ProjectPI-AQM
March 10, 2019 – March 17, 2019
The aim is to understand the PI AQM, how it is different from PIE and implement it in the Linux Kernel
View Projectbt-sparse
November 23, 2018 – December 1, 2018
Parallelizing the Graph Betweenness Centrality Calculation
View Projectparallel-aes
October 26, 2018 – November 13, 2018
Parallel implementation of the Advanced Encryption Standard.
View Projectopen-qas
September 14, 2018 – March 24, 2019
Building a question answering system using Wikipedia data and Natural Language Processing
View Projectgeneric-genetic
May 18, 2018 – November 25, 2018
A python framework for training Keras models using neuroevolution
View ProjectMachine-Learning-in-HealthCare
January 15, 2018 – March 15, 2018
IEEE Envision project to improvise the health care sector with the help of Machine Learning . This includes prediction of diseases, adjusting insurance premiums and classfying X-ray scans and images.
View ProjectReinforcement-Learning
November 2, 2017 – March 23, 2018
Repository for code pertaining to the Reinforcement Learning IEEE project.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal exploration and open-source contributions, which can be a positive indicator for a culture that values initiative and continuous learning. However, the projects are diverse in technology and domain, some not directly aligning with a Data Scientist role (e.g., C++ and CUDA for parallel computing, Android launcher, Firefox recursion bug). This breadth, while showing versatility, might indicate a lack of focused depth in core data science areas for a senior role. The target role is 'Data Scientist' but the only listed experience is a future role starting in 2026, making current role alignment difficult to assess.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.