Software Engineer

• Jun 2023 - Present

Quantitative Research Intern

• Jan 2023 - Apr 2023

• Asset price modeling via analysis of risk factor exposures • US equity research • Asset price modeling via analysis of risk factor exposures • US equity research

Software Engineer Intern

• Aug 2022 - Nov 2022

• Working on improving Risingwave Cloud FE (React, Nextjs) and BE (Golang) • Created a nexmark event generation tool for benchmarking Risingwave using Rust, Docker and Kafka • Working on improving Risingwave Cloud FE (React, Nextjs) and BE (Golang) • Created a nexmark event generation tool for benchmarking Risingwave using Rust, Docker and Kafka

Enterprise Software Engineer Intern

• May 2022 - Aug 2022

• Assigned to the Enterprise Platforms team as an Enterprise Engineer Intern • Working on migrating and improving existing access management tools using React, GraphQL/ Relay and Hack • Assigned to the Enterprise Platforms team as an Enterprise Engineer Intern • Working on migrating and improving existing access management tools using React, GraphQL/ Relay and Hack

Software Engineer Intern

• Sep 2021 - Jan 2022

• Developing internal tools and API’s for health tracking of 500+ microservices as part of an agile software development team • Constructing a signal aggregation platform for deployment across Tiktok using Reactjs, Golang, Bosun and openTSDB. This tool traces dependency chains in microservice deployments and raises alerts to microservice administrators when abnormalities are detected in upstream or downstream microservices. This platform is expected to reduce debugging times for platform engineers by up to 30% and reduce microservice downtime by 6-9 hours annually Show less

Threat Intelligence Intern (Cybersecurity)

• May 2021 - Aug 2021

• Working as part of a research team focusing on attributing Advanced Persistent Threats (APT's) to a specific APT group • Tasked with building machine learning frameworks for feature extraction from unstructured MITRE technique descriptions • Developing a proof-of-concept for training sentence transformer models on unstructured data for multi-label classification tasks • Working on integrating complex machine learning frameworks for end-to-end inference in a complex framework • Working as part of a research team focusing on attributing Advanced Persistent Threats (APT's) to a specific APT group • Tasked with building machine learning frameworks for feature extraction from unstructured MITRE technique descriptions • Developing a proof-of-concept for training sentence transformer models on unstructured data for multi-label classification tasks • Working on integrating complex machine learning frameworks for end-to-end inference in a complex framework

Product Management Intern (Data)

• Feb 2021 - Apr 2021

• Analysed query performance of data warehouses and worked with backend developers to implement improvements in internal systems • Used Figma to wireframe the website design of internal systems and worked with frontend developers and designers to create internal tools • Managed permisions for internal data tools and improved upon existing IAM and authorization processes • Analysed query performance of data warehouses and worked with backend developers to implement improvements in internal systems • Used Figma to wireframe the website design of internal systems and worked with frontend developers and designers to create internal tools • Managed permisions for internal data tools and improved upon existing IAM and authorization processes

Business Data Analyst

• Apr 2020 - Sep 2020

• Performed Structural Equation Modelling (SEM) in R to develop a framework for organisational performance • Published SEM technical manuals and guides for data analysts in Deloitte • Utilised IBM SPSS for advanced data exploration and mathematical modelling • Worked independently as a data analyst and reported directly to board members of Deloitte’s multinational clients • Worked alongside analysts from organisations like Tan Tock Seng Hospital (TTSH) • Performed Structural Equation Modelling (SEM) in R to develop a framework for organisational performance • Published SEM technical manuals and guides for data analysts in Deloitte • Utilised IBM SPSS for advanced data exploration and mathematical modelling • Worked independently as a data analyst and reported directly to board members of Deloitte’s multinational clients • Worked alongside analysts from organisations like Tan Tock Seng Hospital (TTSH)

Machine Learning Intern

• May 2020 - Aug 2020

• Applied learning NLP tools and techniques for entity extraction from complex sentences • Implemented memory network frameworks for constructing a question-answering chatbot • Researched on leading techniques in knowledge graph construction and text reduction • Applied learning NLP tools and techniques for entity extraction from complex sentences • Implemented memory network frameworks for constructing a question-answering chatbot • Researched on leading techniques in knowledge graph construction and text reduction

Data Engineer Intern

• Dec 2019 - Jan 2020

• Spearheaded a project which involves using acoustic speech recognition (ASR) to develop a speech to text NLP model • Built upon leading research conducted in ASR to reduce labelled data required for self-training an RNN end to end neural network • Modified dynamic memory networks to perform question-answering tasks on technical manuals • Performed machine learning across distributed Nvidia DGX servers and proposed a system design which integrated memory network components in the model training process Show less