
ML @Paytm, PhD @NUSComputing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
nusmoneysample
June 10, 2021 – November 26, 2021
Sample NUSmoney app featuring HTML-CSS-Javascript frontend, Node.js backend and MySQL database
View ProjectNavigation-DQN
March 31, 2019 – August 10, 2020
A Deep Q-Network trained to safely guide the autonomous car to cross a 4-way intersection in a complex traffic environment.
View Projectasync-dqn
August 15, 2018 – April 13, 2020
Asynchronous implementation of DQN algorithm in PyTorch
View Projectrrt-star-in-dynamic-environment
November 18, 2017 – November 24, 2017
Implementing RRT and RRT* for car like robot in dynamic environment and comparing their performances
View Projectfast-rrt-star
November 18, 2017 – December 10, 2017
Vanilla implementation of Rapidly Exploring Random Tree (RRT), Rapidly Exploring Random Graph (RRG) and Rapidly Exploring Random Tree* (RRT*)
View Projectintersection-navigation-using-rrt
October 24, 2017 – October 24, 2017
Implementation of Rapidly Exploring Random Tree (RRT) algorithm for robot under dynamic environment
View Projectnumpy-neural-network
September 15, 2017 – March 13, 2018
Implementation of Neural Network in numpy.
View Projectscalable-task-scheduler
July 13, 2017 – August 3, 2021
STASH - A scalable task scheduler based on Kafka
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration, particularly in robotics and AI. The 'group4' project indicates an interest in blockchain development, which aligns with the target role. However, the overall project diversity is heavily skewed towards Python-based AI/robotics, with limited professional experience or diverse team projects to fully assess cultural fit for a collaborative blockchain development environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview data provided.