Skip to content

Aryan Dutt / SINGAPORE

Available for research and engineering opportunities

Data Science & AI @ NTU

Aryan Dutt

Data Science & AI undergraduate at NTU Singapore, working across low-latency infrastructure, scientific machine learning, LLM safety, and quantitative systems.

Work locations

10 roles across three cities.

  • Singapore: NTU (On-site), InterSystems (On-site), NTU CCDS (On-site), NTU SC3DP (Hybrid), SEAQR / SeaSwarm (On-site), Tagit (On-site), BioMetallica (On-site), Ministry of Home Affairs (On-site)
  • Cambridge, MA: MIT Julia Lab (Remote and on-site)
  • London: General Learning (YC F24) (Remote)
On-site and hybridRemote

Affiliations

  • NTU
  • MIT Julia Lab
  • InterSystems
  • YC F24
  • Citadel Securities Discover

Profile at a glance

Focus
Systems / ML / Quant
Base
Singapore
Languages
Python, C++, Julia, TypeScript
Current interests
Market microstructure, evaluation harness design, and systems where tail latency is the metric that matters
Status
Building and researching, open to 2027 roles and collaborations

01/Selected work

All projects

02/Experience

Full timeline
  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

03/Research notes

All writing

04/Contact

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.