Featured
17 October 2026 · 4 min
Why I keep ending up between solvers and models
Scientific machine learning, probabilistic risk, and real-time data platforms look like three unrelated fields. Working across them, they rhyme more than they differ.
Data Science & AI @ NTU
Aryan Dutt
Data Science & AI undergraduate at NTU Singapore, working across distributed infrastructure, scientific machine learning, probabilistic risk modelling, and quantitative systems.
Work locations
13 roles across three cities.
- Singapore: TikTok (Incoming), Akro (Hybrid), SMART (Hybrid), NTU SC3DP (On-site), InterSystems (On-site), NTU SC3DP (Hybrid), SEAQR (Remote), Tagit (On-site), BioMetallica (On-site), Ministry of Home Affairs (On-site), Stealth Startup (Remote)
- Cambridge, MA: MIT Julia Lab (Remote)
- London: General Learning (YC F24) (Remote)
On-site and hybridRemote
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 projectsQuant
Sep 2026 – Present
C++ Limit Order Book with Latency Instrumentation
A matching engine that treats latency as a measured quantity rather than an assumption.
- C++17
- CMake
- Market Microstructure
- Latency Analysis
Research
Jan 2026 – Mar 2026
Empirical Study of RoA Penalty Functions in NeuralLyapunov.jl
A controlled study of how region-of-attraction penalties shape stability certificates learned by physics-informed networks.
- Julia
- NeuralLyapunov.jl
- NeuralPDE.jl
- Lux.jl
- ModelingToolkit.jl
ML
Aug 2025 – Dec 2025
Federated Whisper Aggregation Pipeline
Fine-tuning a production speech model across decentralised datasets without moving any data.
- Python
- Flower
- PyTorch
- HuggingFace
- Whisper
ML
Apr 2025 – Jun 2025
MoE Compression of LLM Weights
Post-training compression of Mixture-of-Experts checkpoints, benchmarked for semantic drift rather than size alone.
- PyTorch
- Quantization
- SVD
- Model Compression
Quant
Nov 2024 – Jan 2025
Portfolio Optimization Engine
A multi-asset risk and simulation engine built to production shape, not notebook shape.
- Python
- NumPy
- Monte Carlo
- pytest
- Tkinter
02/Experience
Full timelineEngineering
TikTok
Incoming Software Engineer Intern
Joining the Global Live Transaction team as a Software Engineer Intern, on the distributed payment infrastructure that team owns.
Jan – May 2027
Engineering
Akro
Member of Technical Staff
Building probabilistic risk models for critical infrastructure, where the useful output is a calibrated distribution rather than a single number.
Oct 2026 – Present
Research
Singapore-MIT Alliance for Research and Technology
Visiting Student
Selected for a visiting research appointment at SMART, under Prof. Rajeev J. Ram of MIT EECS and the Research Laboratory of Electronics.
Oct 2026 – Present
Engineering
InterSystems
Software Engineer Intern
Built an Ansible-based automation framework for InterSystems IRIS that provisions databases, namespaces, web applications, and security settings across environments.
May – Jul 2026
Research
MIT Julia Lab
Research Intern
Worked on NeuralLyapunov.jl in the MIT Julia Lab under Dr. Chris Rackauckas, in the part of scientific machine learning where numerical solvers and learned models have to agree with each other.
Jul 2025 – Mar 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
03/Research notes
All writing04/Contact
Building something difficult?