Aditya Kumar Goel | AI Product Engineer

Aditya Kumar Goel.

AI Product Engineer at Go-Genie. I build language and vision systems that can be trusted in production, and the evaluation that proves it.

Currently
AI Product Engineer, Go-Genie
Previously
Responsible AI, Accenture
Graduated
M.Sc. AI, NTU Singapore
Singapore
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Responsible AI Large language models Retrieval-augmented generation Computer vision MLOps Safety evaluation NLP Generative AI Responsible AI Large language models Retrieval-augmented generation Computer vision MLOps Safety evaluation NLP Generative AI
Profile

Reliable AI, by design.

Based in Singapore. Shipping GenAI for logistics, pharma and finance.

I turn research into products teams can actually adopt, with governance and measurable impact built in from the start.

My work centres on LLM fine-tuning, retrieval-augmented generation and evaluation pipelines, with particular attention to Responsible AI in high-stakes domains.

I care about reliability as a product feature. A model is finished only once it can be explained, audited and trusted.

Aditya Kumar Goel Aditya Kumar Goel
Aditya Kumar Goel Singapore
Intelligence

Models, retrieval and the science of keeping them honest.

Responsible AI LLMs RAG Embeddings Semantic search Computer vision NLP Deep learning
Toolkit

The languages and frameworks I reach for daily.

Python PyTorch TensorFlow Hugging Face LangChain scikit-learn OpenCV FastAPI
Operations

Getting models into production, and keeping them there.

CI/CD for ML Azure ML SageMaker Bedrock Docker MLflow DVC W&B
Experience

Where I've worked.

Select a role to see what I did there.

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Work

Things I've made.

Across the stack, from product to research to real-time graphics.

Featured · WebGPU

Walking inside a DeepSDF latent space.

A real-time WebGL and WebGPU piece that travels through a learned DeepSDF latent space, morphing smoothly between 3D forms. The sculpture alongside is a live miniature of the idea.

WebGPU WebGL DeepSDF Latent space
Watch on LinkedIn ↗
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Research

Published work.

Conference paper · 2024

Factual Accuracy Checking by Validating Numerical Values in Financial Summaries

Aditya Kumar Goel et al.

Validates numerical accuracy in generated financial summaries through automated checks and transformer-based reasoning, reducing factual errors in financial reporting.

Published at
IEEE
Big Data
International Conference, 2024
Education & honours

Foundations.

NTU 2025 to 2026

M.Sc. Artificial Intelligence

Nanyang Technological University, Singapore

Graduated 2026 with a CGPA of 3.9 / 5. Advanced coursework in LLMs, trustworthy AI and applied research.

VIT 2018 to 2022

B.Tech. Information Technology

Vellore Institute of Technology

CGPA 4.1 / 5. Special Achiever's Award, 2020/21.

Honours
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Writing · Medium

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Photography · Instagram

@adigo.captures

Away from the terminal: moments, light and places, captured on camera.

View the gallery ↗
Contact

Let's build something.

Always happy to talk about trustworthy AI, products and research.

adityaku003@e.ntu.edu.sg
LinkedIn GitHub Scholar Medium Instagram +65 8846 5661