I'm a 5th year PhD student at the ORFE department at Princeton researching optimization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
learn_accel_steps_robust
March 21, 2025 – August 12, 2025
learn_accel_steps_robust — GitHub repository
View Projectlearning_algorithm_hyperparameters
April 27, 2024 – November 26, 2024
learning_algorithm_hyperparameters — GitHub repository
View Projectdata_driven_optimizer_guarantees
April 23, 2024 – September 11, 2024
data_driven_optimizer_guarantees — GitHub repository
View Projectrajivsambharya.github.io
December 24, 2020 – Present
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
View ProjectEE106-Final-Project
December 5, 2016 – December 19, 2016
EE106-Final-Project — GitHub repository
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards research and development in optimization and data-driven algorithms, aligning well with roles requiring innovation and problem-solving. The diversity of projects, while all technical, shows a breadth of application within the optimization domain. The focus on personal projects suggests a self-starter mentality. The lack of formal experience or team-based projects makes it difficult to fully assess collaboration and cultural integration.
Soft Skills & Operational Fit
The candidate's project descriptions are concise, indicating a direct communication style. The sheer number of personal projects suggests strong initiative and a passion for the field. However, without formal work experience or psychometric test results, it is difficult to assess other soft skills like teamwork, stress handling, or adaptability.