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Data Journalist 📝 -> Data Scientist 📊 -> Machine Learning Researcher 🔍 -> Developer Advocate 🤝
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Twelve Labs
Data Scientist
June 24, 2026 – Present
MetaRec
September 26, 2019 – November 21, 2022
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
View Projectfashion-recommendation
January 11, 2019 – February 8, 2019
A clothing retrieval and visual recommendation model for fashion images.
View Projectcracking-the-data-science-interview
August 9, 2018 – August 31, 2024
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
View Projectmovielens
March 28, 2018 – July 12, 2019
4 different recommendation engines for the MovieLens dataset.
View Projectnatural-language-processing
January 2, 2018 – February 22, 2018
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
View Projectcomputer-vision
December 25, 2017 – February 8, 2018
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
View Projectneural-nets
November 29, 2017 – July 8, 2020
Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
View Projectcomputer-networking
November 20, 2017 – January 2, 2018
Lecture Slides for Philip Levis and Nick McKeown's "Introduction to Computer Networking" Stanford course
View Projectstatistical-learning
October 10, 2017 – January 2, 2018
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
View Projecttechnical-interview-prep
May 22, 2017 – September 9, 2020
These are coding solutions for problems I study while preparing for technical interviews at tech companies
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and personal, focusing on foundational learning and interview preparation. While this shows strong technical interest, there is limited evidence of collaborative work, real-world project impact, or experience in diverse team environments. The single current employment entry lacks details to assess cultural alignment with a typical industry setting beyond technical skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a strong drive for learning and technical exploration, which could translate to good problem-solving and adaptability.