Dixant Mittal

Blockchain Developer

https://talent.gravityer.com/dixant-mittal

ML @Paytm, PhD @NUSComputing

IndiaMember since June 18, 2026

Key Strengths

Demonstrated interest in robotics and path planning algorithms (RRT, RRT*) through multiple personal projects.
Experience with Python for machine learning and deep learning implementations (DQN, MCTSnet, Neural Network in NumPy).
Exposure to blockchain technology through a personal project involving Solidity, JavaScript, HTML, and CSS.

Cultural & Operational Fit

Cultural 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.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

group4

July 4, 2021 – September 6, 2021

aggregator

View Project

nusmoneysample

June 10, 2021 – November 26, 2021

Sample NUSmoney app featuring HTML-CSS-Javascript frontend, Node.js backend and MySQL database

View Project

mctsnet

December 5, 2019 – October 29, 2021

An implementation of MCTSnet in PyTorch.

View Project

Navigation-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 Project

async-dqn

August 15, 2018 – April 13, 2020

Asynchronous implementation of DQN algorithm in PyTorch

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rrt-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

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fast-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*)

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intersection-navigation-using-rrt

October 24, 2017 – October 24, 2017

Implementation of Rapidly Exploring Random Tree (RRT) algorithm for robot under dynamic environment

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numpy-neural-network

September 15, 2017 – March 13, 2018

Implementation of Neural Network in numpy.

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scalable-task-scheduler

July 13, 2017 – August 3, 2021

STASH - A scalable task scheduler based on Kafka

View Project

Key Strengths

Demonstrated interest in robotics and path planning algorithms (RRT, RRT*) through multiple personal projects.
Experience with Python for machine learning and deep learning implementations (DQN, MCTSnet, Neural Network in NumPy).
Exposure to blockchain technology through a personal project involving Solidity, JavaScript, HTML, and CSS.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview data provided.

Dixant Mittal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit