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Li-Han Chen
Dedicated Software Engineer with a robust background in developing, deploying, and optimising complex software solutions across diverse domains. Proficient in creating efficient data collection systems and pipelines, as well as scaling features to manage high-volume requests within cloud environments.
As a Site Reliability Engineer, adept at swiftly diagnosing and resolving system issues under high-pressure conditions, enhancing system reliability and performance. Skilled in crafting innovative tools to streamline maintenance and minimize operational disruptions.
Versatile Machine Learning Engineer and Financial Researcher with a proven track record of transforming complex data analysis and model development into practical applications for both internal use and market-facing products. Committed to advancing the company's competitive edge by securing patents that protect proprietary techniques and knowledge.
Software Engineer, Quantitative Developer, Machine Learning Engineer
Taipei，Taiwan
[email protected]
TECHNICAL SKILLS
Languages: Rust (prior experience in large distributed system and ML application server), C++ (MBA dissertation), Python3 (prior work experience in computing server and MSc dissertation), Javascript (prior work experience), Go (prior experience in quant finance), R (prior work experience in statistic system), Java (MSc course projects), Haskell (constructing lambda calculus), Kotlin (Personal Project in Android)
Technologies: Kubernetes/ ArgoCD/ Github Actions/ LLM/ MLOps/ Prompt Engineering/ Tensorflow2 (MSc dissertation)/ Ubuntu Server/ CentOS Server/ MariaDB/ Clickhouse/ MongoDB/Docker/Redis/ Flask/ Nginx
Specialities: Agile methodologies (software engineering project), Deep Neural Networks/ Reinforcement Learning/ Meta-learning (MSc Dissertation)
EXPERIENCE
Hive Ventures, Sr Software Engineer[Data], Nov 2023 ~ Current Position
◆ Collect data from web3 and build applications in Rust/ Go/ Python through Google Kubernetes Engine with Cloud SQL/ Clickhouse/ PostgreSQL/ MariaDB
◆ Running data pipeline through k8s Cronjobs/ GCP Cloud Functions
◆ Developed a semantic search engine using large language models (LLMs) to enhance data collection and advanced analysis for venture capital
◆ Designed and implemented databases to host all Ethereum logs and transaction data, achieving simple aggregation query response times of under 1 second with a cost efficiency of approximately 200 USD
17LIVE Inc, Sr Software Engineer, Jan 2022 ~ Aug 2022
◆ Constructing an application server as the system kernel to coordinate various teams to deal with system crash accordingly based on statistical and machine learning models, which led to reducing 50% of the outages’ recovery time during the peak time.
◆ Build up command line tools and CI/CD flow to improve the MLOps flow in both the most time-consuming phases - deploying and training
◆ Adopting Pulumi to enhance the original IaC development flow and collecting system data through both hosted service and self-made worker – GCP Composer and Kubernetes Cronjobs
◆ Building up a brand new Slackbot system to support SRE daily tasks, routine operations, and on-call activities, which not only help SREs to develop tools easily but also upgrade the legacy system into the cutting-edge tech stacks
◆ Efficient developing pace but always with unit tests to cover/ guard the expected outcomes of those features – above 80% coverage rates
17LIVE Inc, Software Engineer, Feb 2022 ~ Dec 2021
◆ Refactor refund mechanism, which results in improving around 71.64% latency under SQL row lock constraint
◆ Through re-designing, refactoring, and implementing around 20 high loading endpoints to utilise CDN cache, which not only has the system sustain 50X amounts of the last highest requests but also be compatible with prior- and pot- versions
◆ Integrating the third-party payment method – DotMoney – with the company’s payment system
1TM PTE LTD, Backend Engineer, Jul 2020 ~ Jan 2020
◆ Constructed a crowdfunding platform, offering users to showcase their works to the potential founders and their friends, through vivid functionalities, stable APIs and automated testing and CI/CD backend system
Quantrend Technology, Backend Engineer, Apr 2020 ~ Jun 2020
◆ Constructed an asynchronous trading system, which led to utilising novel machine learning models to do high-frequency trading (HFT) in the largest cryptocurrency market, implementing low-latency trading logic, and offering well-designed logging and alert mechanism.
◆ Conducted trading model documents, offering some insights in both the design of the
reinforcement learning models and the mechanism of the financial market.
WisdomWin Quant Technology, Software Engineer, Jul 2015 ~ Jun 2018
◆ Devised statistic methods and novel quantitative models by Go, Python and R, offering unique trading indicators to our customers and compiling the advantages of our partners
◆ Conducted academic research and daily market report, convincing more Securities and Futures companies to join our platform and enhancing the platform with more potential features
◆ Managed and secured customer data by MariaDB and Unix-like operating systems, which led to discovering the potential demand from using behaviours of our users and protecting user data
◆ Crawled over 50 different data sources from the worldwide by operating customised crawling robots, offering the newest financial data and presenting distinct mathematical indicators to investors
WisdomWin Quant Technology, Software Engineer Intern, Jun 2014 ~ Jul 2015
◆ Constructed various quantitative models including the Black-Scholes-Merton model, binomial tree and derivatives models by C++, providing over 30 different pricing models to the company
◆ Solved connecting problems among different computing languages and database languages, which led to utilising C++ library in Python and building the connecting interface of C++ to MongoDB
EDUCATION
University of Bath Bath, MSc, Computer Science, 2018 ~ 2019
This programme involves studying modern artificial intelligence models. Units include reinforcement learning, intelligent control and cognitive systems, functional programming, database, cryptography. In this programme, I have built Deep Q-Network and tabular methods to solve traffic light control problems, have learned to create a game through Java under an agile framework and have created an interactive wall-following robot. In addition, I have built a CYK parser and turtle compiler through C, and Lambda-Calculus through Haskell.
Tamkang University, MBA, Banking and Finance, 2013 ~ 2015
This degree mainly focuses on financial engineering, including Stochastic calculus, Interest rate derivatives, Advanced financial engineering. The dissertation was titled ‘Frequent Trading to the Impact of Options Liquidity’. The analytical programme is written, using C++ to examine the change of microstructure in the Options market.
Li-Han Chen
Dedicated Software Engineer with a robust background in developing, deploying, and optimising complex software solutions across diverse domains. Proficient in creating efficient data collection systems and pipelines, as well as scaling features to manage high-volume requests within cloud environments.
As a Site Reliability Engineer, adept at swiftly diagnosing and resolving system issues under high-pressure conditions, enhancing system reliability and performance. Skilled in crafting innovative tools to streamline maintenance and minimize operational disruptions.
Versatile Machine Learning Engineer and Financial Researcher with a proven track record of transforming complex data analysis and model development into practical applications for both internal use and market-facing products. Committed to advancing the company's competitive edge by securing patents that protect proprietary techniques and knowledge.
Software Engineer, Quantitative Developer, Machine Learning Engineer
Taipei，Taiwan
[email protected]
TECHNICAL SKILLS
Languages: Rust (prior experience in large distributed system and ML application server), C++ (MBA dissertation), Python3 (prior work experience in computing server and MSc dissertation), Javascript (prior work experience), Go (prior experience in quant finance), R (prior work experience in statistic system), Java (MSc course projects), Haskell (constructing lambda calculus), Kotlin (Personal Project in Android)
Technologies: Kubernetes/ ArgoCD/ Github Actions/ LLM/ MLOps/ Prompt Engineering/ Tensorflow2 (MSc dissertation)/ Ubuntu Server/ CentOS Server/ MariaDB/ Clickhouse/ MongoDB/Docker/Redis/ Flask/ Nginx
Specialities: Agile methodologies (software engineering project), Deep Neural Networks/ Reinforcement Learning/ Meta-learning (MSc Dissertation)
EXPERIENCE
Hive Ventures, Sr Software Engineer[Data], Nov 2023 ~ Current Position
◆ Collect data from web3 and build applications in Rust/ Go/ Python through Google Kubernetes Engine with Cloud SQL/ Clickhouse/ PostgreSQL/ MariaDB
◆ Running data pipeline through k8s Cronjobs/ GCP Cloud Functions
◆ Developed a semantic search engine using large language models (LLMs) to enhance data collection and advanced analysis for venture capital
◆ Designed and implemented databases to host all Ethereum logs and transaction data, achieving simple aggregation query response times of under 1 second with a cost efficiency of approximately 200 USD
17LIVE Inc, Sr Software Engineer, Jan 2022 ~ Aug 2022
◆ Constructing an application server as the system kernel to coordinate various teams to deal with system crash accordingly based on statistical and machine learning models, which led to reducing 50% of the outages’ recovery time during the peak time.
◆ Build up command line tools and CI/CD flow to improve the MLOps flow in both the most time-consuming phases - deploying and training
◆ Adopting Pulumi to enhance the original IaC development flow and collecting system data through both hosted service and self-made worker – GCP Composer and Kubernetes Cronjobs
◆ Building up a brand new Slackbot system to support SRE daily tasks, routine operations, and on-call activities, which not only help SREs to develop tools easily but also upgrade the legacy system into the cutting-edge tech stacks
◆ Efficient developing pace but always with unit tests to cover/ guard the expected outcomes of those features – above 80% coverage rates
17LIVE Inc, Software Engineer, Feb 2022 ~ Dec 2021
◆ Refactor refund mechanism, which results in improving around 71.64% latency under SQL row lock constraint
◆ Through re-designing, refactoring, and implementing around 20 high loading endpoints to utilise CDN cache, which not only has the system sustain 50X amounts of the last highest requests but also be compatible with prior- and pot- versions
◆ Integrating the third-party payment method – DotMoney – with the company’s payment system
1TM PTE LTD, Backend Engineer, Jul 2020 ~ Jan 2020
◆ Constructed a crowdfunding platform, offering users to showcase their works to the potential founders and their friends, through vivid functionalities, stable APIs and automated testing and CI/CD backend system
Quantrend Technology, Backend Engineer, Apr 2020 ~ Jun 2020
◆ Constructed an asynchronous trading system, which led to utilising novel machine learning models to do high-frequency trading (HFT) in the largest cryptocurrency market, implementing low-latency trading logic, and offering well-designed logging and alert mechanism.
◆ Conducted trading model documents, offering some insights in both the design of the
reinforcement learning models and the mechanism of the financial market.
WisdomWin Quant Technology, Software Engineer, Jul 2015 ~ Jun 2018
◆ Devised statistic methods and novel quantitative models by Go, Python and R, offering unique trading indicators to our customers and compiling the advantages of our partners
◆ Conducted academic research and daily market report, convincing more Securities and Futures companies to join our platform and enhancing the platform with more potential features
◆ Managed and secured customer data by MariaDB and Unix-like operating systems, which led to discovering the potential demand from using behaviours of our users and protecting user data
◆ Crawled over 50 different data sources from the worldwide by operating customised crawling robots, offering the newest financial data and presenting distinct mathematical indicators to investors
WisdomWin Quant Technology, Software Engineer Intern, Jun 2014 ~ Jul 2015
◆ Constructed various quantitative models including the Black-Scholes-Merton model, binomial tree and derivatives models by C++, providing over 30 different pricing models to the company
◆ Solved connecting problems among different computing languages and database languages, which led to utilising C++ library in Python and building the connecting interface of C++ to MongoDB
EDUCATION
University of Bath Bath, MSc, Computer Science, 2018 ~ 2019
This programme involves studying modern artificial intelligence models. Units include reinforcement learning, intelligent control and cognitive systems, functional programming, database, cryptography. In this programme, I have built Deep Q-Network and tabular methods to solve traffic light control problems, have learned to create a game through Java under an agile framework and have created an interactive wall-following robot. In addition, I have built a CYK parser and turtle compiler through C, and Lambda-Calculus through Haskell.
Tamkang University, MBA, Banking and Finance, 2013 ~ 2015
This degree mainly focuses on financial engineering, including Stochastic calculus, Interest rate derivatives, Advanced financial engineering. The dissertation was titled ‘Frequent Trading to the Impact of Options Liquidity’. The analytical programme is written, using C++ to examine the change of microstructure in the Options market.