Anmol (RID : 474kwbrsbmh)

designation   Unity Developer

location   Location : Jaipur, India

experience   Experience : 5 Year

rate   Rate: $20 / Hourly

Availability   Availability : 1 Week

Work From   Work From : Any

designation   Category : Information Technology & Services

Last Active: 30+ Days ago
Shortlisted : 0
Total Views : 17
Key Skills
C# C++ Python

 Strong problem solving and debugging skills, strong knowledge of Data Structures and Algorithms.

 Winner in C debugging competition held at JAI HIND COLLEGE.

 Winner in XPLORE (Computer Science exhibition ) held at JAI HIND COLLEGE, developed an AR /VR game with Unity3D.

 Certified Microsoft Technology Associate (ETHICAL HACKING).

 Fairly Skilled in C#, C++ and Python.

 Strong verbal and presentation skills

Game Programmer

 Worked in partnership with Kwalee games (UK) in developing features for their app Cricket Star Pro.

 Helped develop key gameplay features for the all-star games app on the Play Store


 Helped the company into India’s top 500 companies awards through excellent work in the

Medical field using Virtual reality using Unity3d.

 Developed a VR app in Unity3D using Oculus Quest for a neurosurgeon clinic to treat

patients with Alzheimer's disease incorporating a Machine learning algorithm to make recommendations to the doctor.

 Created a companion report generating software in python for the client to ease the

workflow for the users of the aforementioned application.

 Created a full-stack healthcare application made in Unity3d called Mindmint, which got nominated for the 2020 Korean Mobile awards for excellence in healthcare applications. It has been published on the Play store and certified by medical professionals that use various tests and games to relieve the users of stress and track their data

 Created an asynchronous immersive game in Unity3d with a team that incorporates

strategic gameplay mechanics using Photon Networking in Unity.

 Created an automatic obstacle avoidance disinfectant robot using Raspberry Pi and OpenCV with python that used deep learning algorithms to help in the medical field.

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