David SUzuki

Full Stack Engineer | Python | Rust | Java | Javascript

Vancouver, United States

Summary

David Suzuki is a Full Stack developer whose extensive knowledge and experience in Python, Java, Rust, Javascript and web development are simply remarkable.
Through his expertise, David has developed several widely used applications and built beautiful modern websites has numerous active users. David is passionate about algorithms and advanced mathematics, which has earned him recognition, including winning medals in ACM-ICPC and Advanced Mathematics Competition.

When David is not immersed in coding, he finds adventure in traveling the world. From skydiving, skiing, diving, hot air ballooning, to helicopters, David is an extreme sports enthusiast who is always eager to try new things.

His thirst for knowledge is insatiable, and he never stops learning from his experiences. David currently works as a Software Maintenance Engineer at Aperture Finance.
He continues to break barriers and push the limits of what's possible with his incredible skills and enthusiasm for coding.

Languages:

Chinese, English, Japanese, Spanish

Favorite Python Packages:

Requests, Pandas, NumPy, Django, Flask, SQLAlchemy, Clery, Pytest, scikit-learn, PyTorch, Selenium, Beautiful Soup

Experience

Quantitative Algo Developer - Smart Contract (DeFi 2.0) Feb 2021 – Present

Aperture Finance

May 2022 – Present  Mountain View, California, United States

• Led Solana Projects as a Tech Owner, designed and implemented Pseudo-Delta Neutral Hedging Strategy which uses Leveraged LP farming protocols in Solana, using Francium, Tulip.
• Extracting risk factors conditioned on solana volatile asset characteristics with an autoencoder at daily frequency and create synthetic training data using GANs, using historical data for the past 5 years.
• Denoise dataset using wavelets and the Kalman filter and combine e Zipline offline and on Quantopian to test individual and multiple alpha factors using NumPy, pandas, and TA-Lib. Utilized Python libraries backtrader and Zipline to conduct backtesting on ML-driven strategies in historical market environments, reducing the probability of putting financial resources at risk when deploying candidate smart contracts in real-time markets by 30%.
• Developed smart contracts using Rust, which employ Alpha factors-generated signals to dynamically adjust long and short positions for optimizing portfolios, accumulated a net income of $2 million in one month on the Solana chain.

Senior Back End Engineer ｜Senior Research And Development Engineer

Forte Group

Apr 2019 – May 2021  Boca Raton, Florida, United States

• Participated in Tmall Double Eleven online shopping promotion for 2 consecutive years; Led team consisting of 5 engineers.
• Designed and implemented a ads targeting system, which utilizes user ’s historical purchase records and recent search history to recommend promotional deals based on customer profiling behavior data, dynamically adjusting the intensity of discounts in deals based on users' recent engagement levels data, resulting in an annual revenue growth exceeding 48% and an overall purchase rate improvement of 8%, helped company create a new transaction record of 20 million USD a day in 2019.
• Optimized on-line and off-line recommendation model for advertisements, improved advertisement push, banners, and SMS performance by 25%; Wrote HiveQL and SQL to gather original data, preprocessed data set by data cleaning, categorical feature transformation and normalization; Enriched user-profile features and optimized user-profile update strategies to provide reliable features for machine learning models; Trained XGboost and LR model, increased AUC from 0.59 to 0.77. Did data resampling and undersampleing for imbalanced data, imputed missing values, evaluated model by recall and precision.
• Taco ecosystem successfully handles 1100 million+ push notifications per day, with delivery rate above 97% and delivery time of 0.72-1.2 seconds; daily peak value can reach 750k online connections with 30k-50k QPS.

Infrastructure Engineer | Full Stack Developer

Zapproved

Nov 2018 – Apr 2019  Portland, Oregon, United States

• Designed and implemented the 1QB Wallet recommendation system, matching clients and products based on the keywords of previously searched items to boost sales, using RPC and HTTP framework in Java, improving the accuracy by 30%.
• Building new Code Review platform from scratch; developed Java package deployment and remote backup distribution platform, including Jenkins integrated static code scanning on daily basis and CI/CD pipeline, increasing efficiency by 5 times..
• Developed a trading system in Go, leveraging the Kafka Messaging System, to enable users' participation in flash deal ordering events, enabling millions of users to engage in millisecond-level promotional activities. In the first year since the release and launch of this system, it has contributed an incremental revenue of 100 Million USD in GMV to the company.
• Refactored the task queue and task manager using Celery, RabbitMQ and MySQL to support larger-scale, distributed tasks; Queue latency reduced by 20%, Consume rate increased by 4x and Memory used decreased by 40%.

Software Engineer

 

KMS Technology

Jun 2017 – Nov 2018  Atlanta, Georgia, United States

• Designed and implemented firm's first Cluster Observability Platform from scratch. Built a log service based on logstash, reformat, and transfer logs from grouping system to Kibana log platform, handing million logs per day with very high stability and availability which annual availability rate reaches 99.999%; Created Grafana dashboards to report the counters of logs.
• Designed and implemented CI/CD pipelines with YAML and deployed Docker containers to AWS, making them automatically build, pack, and deploy the log service to production, serving an average of 200 integrations per day.
• Designed and implemented an alert service for error logs, which can report the errors and create fix tickets for DevOps engineers automatically, reducing fix waiting time by 80%.

Skills

Artificial Intelligence, Backend Development, Django, FastAPI, Flask, JavaScript, Machine Learning, ReactJS, Vue.js, Web Development, Web Scraping