Harsh Siloiya

Business Analyst

Tokyo, Japan3 yrs 5 mos experience

Highly Stable

Key Highlights

Expertise in machine learning and deep learning.
Experience in developing AI-based solutions.
Proficient in Android development and application optimization.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI solutions in the Education and Gaming sectors.

Contact

Skills

Core Skills

Machine LearningDeep LearningFull-stack DevelopmentAndroid DevelopmentUnity3d

Other Skills

PythonCUDAC++BashComputer VisionPostgreSQLPyTorchPHPJavaC#Node.jsAmazon Web Services (AWS)Microsoft OfficeMicrosoft AzureDigital Image Processing

About

Interested in the fields of machine learning, deep learning, computer vision/digital image processing (including medical image processing) and reinforcement learning

Experience

3 yrs 5 mos

Total Experience

3 yrs 5 mos

Average Tenure

Current Experience

Nablas

Research Engineer

Sep 2025 – Present · 9 mos · Tokyo, Japan

Woven by toyota

Machine Learning Engineer

Feb 2025 – May 2025 · 3 mos · Tokyo, Japan · Hybrid

Awl, inc.

2 roles

AI Engineer

Promoted

Aug 2021 – Jan 2025 · 3 yrs 5 mos · Sapporo, Hokkaido, Japan

R&D in fields of deep learning and computer vision to provide AI-based solutions for customers

Machine LearningPythonCUDAC++Deep LearningBash+4

AI Engineer

Oct 2020 – Jul 2021 · 9 mos · Sapporo, Hokkaido, Japan

PHPBashFull-Stack Development

Maq software

Software Engineering Intern

May 2019 – Jul 2019 · 2 mos · Mumbai Area, India · On-site

Automated Application Localization and Optimization
● Worked on the localization of Pehla Class which is based on Onecourse, an award-winning educational Android application.
● Developed Python scripts to automate application localization for supporting Hindi, Bengali and Urdu languages.
● Optimized the application by integrating Android's native text-to-speech functionality, which reduced the size of the app by 10%.

PythonJavaAndroid Development

Student alumni relations cell

Intern

Dec 2018 – Feb 2019 · 2 mos · Mumbai Area, India · Remote

Grammar Correction Tool
● Created a sequence-to-sequence model for an education-based startup using Tensorflow to correct grammatical errors in a sentence
● Implemented the concept of neural machine translation to translate a grammatically incorrect sentence to grammatically correct one
● Used an attention-based model for optimizing the results.

Machine LearningPythonDeep LearningBashPyTorch

Ubisoft india studios

Programming Intern

May 2018 – Jul 2018 · 2 mos · Pune Area, India · On-site

Prototype Designing
● Designed a centralized networking system for a prototype racing game handling multiple users
● Created an HTTP server to handle incoming client-connection requests and broadcast client data
● Developed a client-side interface in Unity game engine using Socket.IO in C# which initiates a connection with the client and instantiates a game object corresponding to the user as well as the opponents on client-side.
Audio Library Porting
● Updated the FMOD library, which provides audio rendering within a program, of an unannounced Nintendo Switch game to the latest version using C++.
● Designed a sample application which plays background audio over a pre-rendered image pattern on Nintendo Switch using Nintendo SDK to test the functioning of FMOD API on Switch.

C#Node.jsC++Unity3D