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engineering @sifive
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Sifive
Data Scientist
June 16, 2026 – Present
image-captioning
December 6, 2020 – December 11, 2020
Project implementing state-of-the-art deep learning models for Image Captioning - generating a descriptive caption for an image.
View ProjectN-body-simulation-using-Barnes-Hut
May 4, 2020 – May 5, 2020
N-body-simulation-using-Barnes-Hut — GitHub repository
View ProjectData-Science-and-Openshift-on-the-MOC
January 27, 2020 – October 22, 2020
Project implementing new ML model for a containerized ML Redhat app running on Openshift on the Mass Open Cloud.
View Projectmobile-machine-learning
November 26, 2019 – March 3, 2021
A project exploring modern embedded machine learning frameworks on modern mobile platforms.
View Projectminiproject2
October 15, 2019 – October 23, 2019
Mini Project 2 Repo for the course EC601, Product Design in ECE at BU.
View ProjectSteel-Defect-Challenge
September 18, 2019 – November 11, 2019
A Kaggle data science challenge submission containing my team's entry.
View ProjectWorkingTitle
September 11, 2019 – August 6, 2020
A set of python scripts to scrape Twitter for tweets containing a particular keyword and generate sentiment scores.
View Projectneural-hack
March 9, 2017 – March 10, 2017
solutions to the neural hack competition organized at Luminaire, KIIT University.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, aligning with a Data Scientist role. The diversity of projects, from Kaggle competitions to deep learning implementations and mobile ML, indicates a proactive and curious individual. However, the lack of detailed descriptions for some projects and the absence of team-based project descriptions make it difficult to fully assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.