Upwork

Profile URL

https://talent.gravityer.com/anirban-ghosh

Anirban Ghosh

Upwork

Kolkata, india

Since August 11, 2025

Skills

Unity DevelopersC# DevelopersStartup DevelopersStartup FundingMobile App DevelopersAndroid DevelopmentWebRTC DevelopersSoftware DevelopersVideo Game TestersFlutter DevelopersNode.jsTeam Collaboration

Experience

Upwork

Freelancer Web3.0, AI Programmer

February 1, 2022 – Present

Cognizant Technology Solution

Project Manager, Interactive Application

April 6, 2020 – February 23, 2022

Cyient Ltd

Associate Project Manager

April 30, 2018 – April 2, 2020

Hyderabad, India

Capital Numbers Infotech Pvt Ltd

Tech Lead, Gaming

June 15, 2015 – December 15, 2017

Kolkata, India

Reliance JumpGames

Lead Game Engineer

October 1, 2009 – November 1, 2010

Pune, India

Walt Disney UTV Indiagames

Senior Software Engineer

February 1, 2007 – September 1, 2009

Mumbai, India

Key Strengths

The candidate's profile presents a significant mismatch with the target role of 'Principal Frontend Engineer'. While the candidate possesses extensive experience in game development, AR/VR, and Web3.0, these areas do not directly align with the core competencies typically required for a Principal Frontend Engineer focusing on modern web technologies.
Key Strengths (based on resume, not necessarily role-aligned):
Over 20 years of experience in Simulation and Gaming domain, ARVR application development.
Hands-on experience with Unity3D and Unreal Engine (7+ years), C++, C#, Python.
Expertise in multiplayer game development (PUN2, SmartFox, Socket.io, Playfab, Firebase).
Recent experience as a Freelancer in Web3.0 and AI programming, including Blockchain/NFT technologies (Solidity, Rust, Haskell).
Demonstrated leadership roles (Tech Lead, Project Manager) and project lifecycle management experience.
Recognized for technical achievements (e.g., 'best programmer,' 'Employee of the Month').

Skill Analysis

Data Science & Artificial Intelligence

★★★★★

The candidate scored 0% on the Data Scientist — Artificial Intelligence test, indicating a complete lack of proficiency in the evaluated skills.

Data Science FundamentalsArtificial Intelligence ConceptsMachine LearningStatistical Analysis

Limitations

Demonstrated no understanding of core data science principles.
Unable to apply AI concepts to practical problems.
Lack of foundational knowledge in data analysis and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 49% (245/500) indicates a moderate fit, with potential areas for improvement in aspects like logical reasoning, work attitude, stress handling, and team collaboration. Further assessment would be required to fully understand the implications for cultural alignment.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

The candidate's profile presents a significant mismatch with the target role of 'Principal Frontend Engineer'. While the candidate possesses extensive experience in game development, AR/VR, and Web3.0, these areas do not directly align with the core competencies typically required for a Principal Frontend Engineer focusing on modern web technologies.
Key Strengths (based on resume, not necessarily role-aligned):
Over 20 years of experience in Simulation and Gaming domain, ARVR application development.
Hands-on experience with Unity3D and Unreal Engine (7+ years), C++, C#, Python.
Expertise in multiplayer game development (PUN2, SmartFox, Socket.io, Playfab, Firebase).
Recent experience as a Freelancer in Web3.0 and AI programming, including Blockchain/NFT technologies (Solidity, Rust, Haskell).
Demonstrated leadership roles (Tech Lead, Project Manager) and project lifecycle management experience.
Recognized for technical achievements (e.g., 'best programmer,' 'Employee of the Month').

Skill Analysis

Data Science & Artificial Intelligence

★★★★★

The candidate scored 0% on the Data Scientist — Artificial Intelligence test, indicating a complete lack of proficiency in the evaluated skills.

Data Science FundamentalsArtificial Intelligence ConceptsMachine LearningStatistical Analysis

Limitations

Demonstrated no understanding of core data science principles.
Unable to apply AI concepts to practical problems.
Lack of foundational knowledge in data analysis and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit