Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm a performance-focused engineer with experience spanning DevOps, backend systems, and quantitative research. I enjoy improving reliability, reducing latency, and building robust software at scale. Winner of Jane Street's Electronic Trading Challenge (ETC) '22.…

Nigel Tan

Web Developer, Programmer





I'm a performance-focused engineer with experience spanning DevOps, backend systems, and quantitative research. I enjoy improving reliability, reducing latency, and building robust software at scale. Winner of Jane Street's Electronic Trading Challenge (ETC) '22.…

Available to hire

Singapore, Singapore

I’m a performance-focused engineer with experience spanning DevOps, backend systems, and quantitative research.

I enjoy improving reliability, reducing latency, and building robust software at scale. Winner of Jane Street’s Electronic Trading Challenge (ETC) '22.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

DevOps Engineer at Murex

December 1, 2024 - Present

Reduced a critical SQL query from 35 minutes to 30 seconds by rewriting a CASE WHEN NOT IN (subquery) pattern to enable subquery unnesting, allowing the optimizer to generate an efficient execution plan. Improved reliability and performance of internal compute workflows across AWS, Linux, and Bash environments.

Backend Engineer at Sprinklr

July 1, 2023 - November 1, 2024

Enhanced the company’s custom fork of Elasticsearch, adding instrumentation to count aggregation buckets across all nodes for every query, improving cluster-level observability. Upgraded 80% of Elasticsearch clusters from v7 to v8, handling rollout sequencing and zero-downtime migration strategies.

Quant Developer at AlphaLab Capital

August 1, 2022 - December 1, 2022

Re-implemented Uniswap V3’s core AMM logic in Python3, translating the Solidity reference implementation to enable precise historical simulation and strategy backtesting. Engineered a custom segment-tree data structure that cut simulation memory usage from ~256 GB to 3 GB, unlocking large-scale liquidity-provision experiments on standard hardware.

Summer Analyst at JP Morgan Chase & Co.

June 1, 2022 - July 1, 2022

Engineered a high-performance browser-side search system that preloads and indexes 300k+ financial instrument strings, achieving <10 ms substring autocompletion for internal users.