YASH RAJ · SINGAPORE

I build systems
that think and ship.

Computer Science student at NTU exploring useful software, AI systems, robotics, and the developer tools behind them.

SCROLL TO EXPLORE01-06

01 / SELECTED WORK

Built with curiosity.
Kept honest by details.

Projects where I get to work through the interesting parts: model behaviour, systems boundaries, interfaces, and the awkward bits in between.

01
inputdensepolicy

Open-source ML library

Godot AI Kit

A native GDScript toolkit for learning agents inside Godot-built from the algorithms up, without external ML libraries.

Neural networks, CNNs, Q-learning, DQN, Minimax, evolutionary algorithms, ADAM / AMSGrad, experience replay, and target-network synchronisation.

GDScriptGodot 4Reinforcement learning
02
queryagentssafe

Multi-agent career platform

AI Ascent

A safety-conscious backend for onboarding, mentorship, feedback, and career development workflows.

Specialised LangChain agents use semantic retrieval and guardrails for PII redaction, prompt-injection detection, and bias filtering-exposed through containerised REST APIs.

DjangoLangChainpgvectorAzure
03
rnamodelsignal

BioHackathon · 3rd place

CerviNet

A machine-learning model for predicting cervical cancer from human RNA gene-expression data.

Built around a classification pipeline focused on a medically meaningful input space, with reported 96% accuracy and 94.5% recall in the project evaluation.

PythonMachine learningBioinformatics
04
poseloraframes

HackOSS · Technical Director

Stickmanify

A pose-conditioned video-generation pipeline for stable, stylised stickman animation.

Leading model training and serving: curated normalised data, custom style and temporal LoRAs, a ComfyUI inference path, serverless GPU infrastructure, and cloud deployment.

ComfyUILoRARunpodReact
02

ABOUT / WORKING NOTES

I like the point where an idea becomes a working thing.

I'm Yash, a CS student at Nanyang Technological University. I'm drawn to technical work with both a conceptual and practical edge: teaching a game engine to learn, making agent workflows safer, serving models, or shaping a small tool until it feels right.

Right now, I'm especially interested in local AI, machine learning systems, robotics, backend architecture, and open-source developer tools.

More experiments on GitHub
Yash RajYR / 2026

03 / EXPERIENCE

Learning by building in teams.

2025 - Present

Technical Director · HackOSS, NTU Open Source Society

Leading a seven-person team on Stickmanify's end-to-end video-generation system, from model training through GPU serving and cloud deployment.

2024 - 2025

Software Engineer Intern · Cyber Square AI & Robotics

Built a biometric authentication system and Django/PostgreSQL backend with role-aware workflows, scheduling logic, and REST API integration.

04 / TOOLBOX

A few things I reach for.

Languages

PythonJavaGDScriptTypeScript

AI & ML

PyTorchLangChainHugging FaceOpenCVLLMs

Backend

DjangoFastAPIREST APIsPostgreSQLSupabase

Systems & shipping

DockerAzureLinuxGit / GitHubGodot Engine

05 / A FEW MILESTONES

1st place · SheBuilds Datathon2nd runner-up · SAP x NTU Hackathon3rd place · NTU BioHackathon

06 / CONTACT

Have a technical problem
worth thinking about?

yash020@e.ntu.edu.sg