Featured
14 August 2026 · 3 min
Why I keep ending up between solvers and models
Scientific machine learning, LLM safety, and low-latency databases look like three unrelated fields. Working across them, they rhyme more than they differ.
Aryan Dutt / SINGAPORE
Available for research and engineering opportunities
Data Science & AI @ NTU
Data Science & AI undergraduate at NTU Singapore, working across low-latency infrastructure, scientific machine learning, LLM safety, and quantitative systems.
10 roles across three cities.
Quant
Sep 2026 – Present
A matching engine that treats latency as a measured quantity rather than an assumption.
Research
Jan 2026 – Mar 2026
A controlled study of how region-of-attraction penalties shape stability certificates learned by physics-informed networks.
ML
Aug 2025 – Dec 2025
Fine-tuning a production speech model across decentralised datasets without moving any data.
ML
Apr 2025 – Jun 2025
Post-training compression of Mixture-of-Experts checkpoints, benchmarked for semantic drift rather than size alone.
Quant
Nov 2024 – Jan 2025
A multi-asset risk and simulation engine built to production shape, not notebook shape.
Research
MIT Julia Lab
Research Intern
Researched scientific machine learning in the Julia Lab under Dr. Chris Rackauckas, working where numerical solvers and learned models have to agree with each other.
Jul 2025 – Mar 2026
Engineering
InterSystems
Software Engineer Intern
Engineered low-latency platform work behind real-time database workloads, building across the ObjectScript stack with CMake and Ansible so environments stayed reproducible.
May – Jul 2026
Research
NTU CCDS
Research Intern
Co-authored a paper on LLM safety alignment, building the evaluation harness that grouped failures into prompt families so the results said something the headline refusal rate could not.
Aug 2025 – May 2026
Engineering
Tagit
Software Engineer
Architected a modular transaction anomaly detection system for digital banking, modelling outliers with per-user Isolation Forests and shipping the dashboard that let analysts act on what it flagged.
Jan – Mar 2025
Engineering
General Learning (YC F24)
Intern
Built the Node.js scraping and taxonomy infrastructure behind A Level and GMAT curriculum data, normalising scraped syllabi into a hierarchy the backend could actually query.
Aug – Oct 2024
Service
Ministry of Home Affairs, Singapore
National Service, ProCom
Served two years under the Protective Security Command on critical infrastructure protection, in an environment where operational discipline was the whole job.
Nov 2022 – Oct 2024
Featured
14 August 2026 · 3 min
Scientific machine learning, LLM safety, and low-latency databases look like three unrelated fields. Working across them, they rhyme more than they differ.
2 June 2026
Building something difficult?
I'm interested in research, systems, and quantitative engineering problems where correctness and performance both matter, and where the answer has to hold up under load rather than only in the notebook.