Dae Choi, Developer in Livingston, NJ, United States
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Dae Choi

Verified Expert  in Engineering

Bio

Dae has over 20 years of hands-on experience in the areas of capital markets, trading, alternative asset management, health care, and transportation sectors that span a full lifecycle, from hardware infrastructure to application development across multiple platforms.

Portfolio

Domanic, LLC
Go, SCADA, Solaris, Linux, Windows, PostgreSQL, MongoDB, JavaScript...
Crystal Corp.
Go, SQL, PostgreSQL, SQL Stored Procedures, Rust, Kubernetes...
Sifchain Finance
MongoDB, Python, PostgreSQL, Amazon Web Services (AWS), Kubernetes, Go...

Experience

  • SQL - 20 years
  • Python - 10 years
  • PostgreSQL - 8 years
  • ETL - 6 years
  • Data Pipelines - 6 years
  • AWS Cloud Architecture - 5 years
  • Rust - 4 years
  • MongoDB - 4 years

Availability

Part-time

Preferred Environment

Vim Text Editor, Linux, Windows, React, Cosmos, Python 3, GraphQL, Go, Apache Kafka, Hadoop

The most amazing...

...project I've designed and implemented from scratch to support full trade lifecycle is a trading platform of multi-asset securities for a large hedge fund.

Work Experience

Principal

2016 - PRESENT
Domanic, LLC
  • Provided infrastructure and system architecture reviews and security operations monitoring to improve response time and reduce technology expenditures for MTA across major agencies such as MetroNorth, NYC Transit, Bridges and Tunnels, and LIRR.
  • Implemented SOC-type2 controls with proactive monitors, alerts, and audit trails based on severity using CloudWatch, CloudTrails, and GuardDuty along with AWS SNS/lambda triggers. Set up AWS X-ray to monitor data flows and business exceptions.
  • Removed underperforming bottlenecks on Django to AWS Lambda functions and API Gateway. Refactored user identity management in Django to leverage AWS Cognosys. Migrated an idling EC2 to Fargate to slash costs while improving availability.
Technologies: Go, SCADA, Solaris, Linux, Windows, PostgreSQL, MongoDB, JavaScript, SQL Stored Procedures, AWS Cloud Architecture, CI/CD Pipelines, SQL, Git, ETL, Docker, Data Engineering, Architecture, Stakeholder Management, Tableau, Microsoft Power BI, Amazon Web Services (AWS), Back-end, Swagger, Technical Leadership, People Management, REST APIs, Full-stack, Mobile, Web Development, Data Build Tool (dbt), Data Modeling, Star Schema, Data Transformation, Algorithms, Scraping, Web Scraping, HTTP, JSON, AWS Lambda, Amazon EKS, Amazon Elastic Container Service (ECS), Amazon S3 (AWS S3), Amazon Simple Notification Service (SNS), Amazon Simple Queue Service (SQS), Grafana, Relational Database Services (RDS), Data Analysis, Data Strategy, Data Analytics, Data Management, MDM

Lead Engineer (via Toptal)

2022 - 2024
Crystal Corp.
  • Architected and implemented a cloud native PostgreSQL orchestrator to instantiate and scale up and out based on client demand.
  • Participated in product evangelization, proofs of concept, customer interactions, and daily management of the engineering team.
  • Developed scalable and efficient solutions across the AWS ecosystem using Go, Rust, SQL, and Kubernetes.
Technologies: Go, SQL, PostgreSQL, SQL Stored Procedures, Rust, Kubernetes, Amazon Web Services (AWS), Python, Git, ETL, Timescale, C++, Data Pipelines, AWS Cloud Architecture, Docker, Data Engineering, Data Architecture, Big Data Architecture, Architecture, Back-end, Swagger, Technical Leadership, Product Management, People Management, REST APIs, Full-stack, Mobile, Web Development, Flutter, Data Modeling, Star Schema, Data Transformation, Prometheus, Apache Spark, Amazon SageMaker, API Observability, Observability Tools, SDKs, Algorithms, Scraping, Web Scraping, Concise Binary Object Representation (CBOR), HTTP, JSON, AWS Lambda, Amazon EKS, Amazon Elastic Container Service (ECS), Amazon S3 (AWS S3), Amazon Simple Notification Service (SNS), Amazon Simple Queue Service (SQS), Identity & Access Management (IAM), Data Visualization, Grafana, Web Crawlers, Microservices, Distributed Systems, Large-scale Distributed Systems, Relational Database Services (RDS), Data Analysis, Data Strategy

Head of Data Services (via Toptal)

2020 - 2022
Sifchain Finance
  • Led the Data Services Group, enabling seamless data processing across back end, front end, external partners, and market data services.
  • Designed and built a real-time data and trade processing engine with low latency and high throughput using Kafka, TimescaleDB, Rust, and Go.
  • Developed crypto-economic programs, including trading competition, margin, liquidity mining, and token rewards.
Technologies: MongoDB, Python, PostgreSQL, Amazon Web Services (AWS), Kubernetes, Go, Apache Kafka, Timescale, SQL, Git, ETL, Rust, Data Pipelines, AWS Cloud Architecture, Docker, Data Engineering, Data Architecture, Big Data Architecture, Architecture, Business Requirements, Back-end, Swagger, Technical Leadership, Product Management, People Management, Elasticsearch, REST APIs, Mobile, Web Development, Flutter, Data Build Tool (dbt), Data Modeling, Snowflake, Star Schema, Data Transformation, Databricks, PySpark, Apache Spark, Amazon SageMaker, API Observability, Observability Tools, SDKs, Algorithms, Scraping, Selenium, Web Scraping, Concise Binary Object Representation (CBOR), HTTP, JSON, AWS Lambda, Amazon EKS, Amazon Elastic Container Service (ECS), Amazon S3 (AWS S3), Amazon Simple Notification Service (SNS), Amazon Simple Queue Service (SQS), Identity & Access Management (IAM), Crypto, Data Visualization, Grafana, Blockchain, Web3, Trading, Algorithmic Trading, Trading Systems, Cryptocurrency, Microservices, Distributed Systems, Large-scale Distributed Systems, Relational Database Services (RDS), Data Analysis, Data Strategy, Data Analytics

Software Consultant

2017 - 2022
Standard General, LP
  • Developed a position and trade reconciliation system for Geneva and BMS.
  • Created and supported various reports for trades and historical returns.
  • Built an investor database and provided support for multiple funds.
Technologies: Microsoft Excel, Advent Geneva, SQL, VB, C#, SQL Stored Procedures, Python, Git, ETL, Kubernetes, AWS Cloud Architecture, Docker, Data Architecture, Architecture, Business Requirements, Microsoft Power BI, Amazon Web Services (AWS), Back-end, Swagger, Technical Leadership, People Management, Full-stack, Mobile, Web Development, Data Modeling, Star Schema, Data Transformation, Databricks, PySpark, Apache Spark, Observability Tools, SDKs, Workflow Automation & System Integration, Algorithms, Scraping, Web Scraping, HTTP, JSON, AWS Lambda, Amazon EKS, Amazon Elastic Container Service (ECS), Amazon S3 (AWS S3), Amazon Simple Notification Service (SNS), Amazon Simple Queue Service (SQS), Azure, Identity & Access Management (IAM), Data Visualization, Grafana, Blockchain, Microservices, Distributed Systems, Relational Database Services (RDS), Data Analysis, Data Strategy, Data Analytics

VP of Engineer

2019 - 2021
Nexhealth
  • Ingested and orchestrated healthcare records from various dental providers into a centralized data warehouse, enabling real-time, unified patient care across the U.S.
  • Developed Sync Agents to integrate and manage data across various EMRs, including CareCoud, Curve, Dentrix, Denticon, Dr.Chrono, eClinicalWorks, EagleSoft, Medical Manager, MdLand, OpenDental, Orthotracs, Tops, DentalVision and Dolphin.
  • Optimized processing of over 8 million patient records from a few hours to under a few seconds. Introduced DevOps practice and led efforts to automate scaling and provisioning of cloud resources based on demand.
  • Managed and trained CSMs and engineers to handle complex customer inquiries.
Technologies: Python, SQL, ETL, Amazon, Node.js, Ruby on Rails 6

VP of Engineering

2018 - 2019
LoanStreet
  • Improved operational efficiency, scalability, and reliability. Presented DevOps with CloudFormation and refactored Makefile and Git Hooks to trigger testing and continuous deployment using a Travis build script to improve automation and productivity.
  • Devised Lambda/S3 triggers to scan for virus or malware on incoming client transaction files to quarantine data and alert the support staff.
  • Led the front and back-end development with coding best practices and guidelines. Actively reviewed code changes in Git pull requests throughout the day to ensure high code quality and best practices.
  • Created a high-performance culture by building a collaborative team. Inherited a team with no discernible work process and instilled the Agile software development methodology.
Technologies: AWS CloudFormation, Python, React, PostgreSQL, JavaScript, ETL, SQL Stored Procedures, Unix Shell Scripting, SQL, Git, Kubernetes, Data Pipelines, AWS Cloud Architecture, Docker, Data Engineering, Data Architecture, Big Data Architecture, Architecture, Business Requirements, Amazon Web Services (AWS), Back-end, Swagger, Technical Leadership, Product Management, Flask, People Management, Apache Kafka, Elasticsearch, REST APIs, Full-stack, Web Development, Data Build Tool (dbt), Data Modeling, Snowflake, Dimensional Modeling, Star Schema, Data Transformation, Observability Tools, SDKs, Workflow Automation & System Integration, HTTP, JSON, AWS Lambda, Amazon EKS, Amazon S3 (AWS S3), Amazon Simple Notification Service (SNS), Amazon Simple Queue Service (SQS), TypeScript, Identity & Access Management (IAM), Web Crawlers, Microservices, Distributed Systems, Relational Database Services (RDS), Data Analysis, Data Strategy, Data Analytics

Software Consultant

2016 - 2017
Reservoir Capital, LP
  • Developed a solution to pull live information out of multiple QuickBooks files and generate Excel reports real-time.
Technologies: Intuit QuickBooks, Microsoft SQL Server, Node.js, Go, JavaScript, ETL, SQL, Git, Kubernetes, Hedge Funds, Data Pipelines, Docker, Architecture, Business Analysis, Business Requirements, Stakeholder Management, Tableau, Microsoft Power BI, Amazon Web Services (AWS), Back-end, Technical Leadership, Flask, People Management, Elasticsearch, REST APIs, Data Build Tool (dbt), Data Modeling, Snowflake, Data Analytics, Dimensional Modeling, Star Schema, Data Transformation, SDKs, Automation, Workflow Automation & System Integration, Excel VBA, Selenium, HTTP, JSON, AWS Lambda, Amazon Simple Queue Service (SQS), TypeScript, Algorithmic Trading, Trading Systems, Microservices, Distributed Systems, Relational Database Services (RDS), Data Analysis, Data Strategy

Chief Technology Officer

2003 - 2014
King Street Capital Management
  • Designed the technology roadmap and budgeting, reviewing designs, and defining standards. Led implementations and collaborated with stakeholders to increase the adoption of best practices and avoid redundancies.
  • Identified revenue opportunities through the development of a standardized information infrastructure to support the full-trade lifecycle for multiple asset types through team collaboration across the organization.
  • Formed and maintained a staffing plan with an eye towards minimizing the firm’s cost and dependencies on contractors and vendors while maximizing ROI and service levels.
  • Conceptualized and built out a scalable private and secure cloud infrastructure to provide resiliency and high-performance computing, as well as a network platform to support and collaborate across global operations.
  • Created email alerts to filter out the noise and trigger notifications and workflows based on market events and complex scenarios with a proprietary complex event processing engine and an exception-driven model.
Technologies: Apache Kafka, Bloomberg API, SQL, Java, C#, PostgreSQL, JavaScript, ETL, Git, Kubernetes, Hedge Funds, Data Pipelines, Docker, Data Governance, Architecture, Business Analysis, Business Requirements, Stakeholder Management, Tableau, Microsoft Power BI, Technical Leadership, Product Management, People Management, REST APIs, Full-stack, Mobile, Data Build Tool (dbt), Data Modeling, Data Warehousing, Data Analytics, Dimensional Modeling, Star Schema, Data Transformation, SDKs, Automation, Workflow Automation & System Integration, Excel VBA, Visual Basic for Applications (VBA), HTTP, JSON, Microsoft SQL Server, Azure, Trading, Algorithmic Trading, Trading Systems, Options Trading, Distributed Systems, Large-scale Distributed Systems, Data Analysis, Data Strategy, Data Management, MDM

Principal

2002 - 2003
Liberty Street Partners, LLC
  • Provided the analysis, design, and implementation of a web-based portfolio analytics program for the research group at a $2.5 billion fund of the hedge funds investment manager.
  • Implemented a back-office integration framework for a proprietary trading firm with 200 traders and seven different clearing firms. Automated the workflow to receive and match transactions from each firm to post changes to the firm's general ledger.
  • Implemented a software and hardware pilot solution for Microsoft Global Summit (commissioned by USAID and Dell) to enable two manufacturing companies and freight forwarders to trade overseas using an electronical document exchange based on XML.
Technologies: SQL, C#, BizTalk, ETL, Git, Docker, Architecture, Business Analysis, Business Requirements, Stakeholder Management, Microsoft Power BI, Technical Leadership, People Management, Data Modeling, Dimensional Modeling, Data Transformation, SDKs, Visual Basic for Applications (VBA), HTTP, Data Strategy, Data Management, MDM

Architect

2000 - 2002
Sapient, Inc.
  • Implemented a subscription-based web portal for Moody's Investor Service to enable institutional clients to access Asset-Backed and Residential Mortgage Backed performance data from 1980’s to the present. Responsible for overall site design and architecture.
  • Extracted business requirements and process flows for Morgan Stanley to redesign and consolidate Individual Investors' web portal ("public site") and rich-client based account management tool ("ClientServ") into a single web-based platform. Responsible for producing new interface processes, front-end screen flows, use cases, scope matrix, and functional specifications (Online Trade, Statement Link, Client Profile Management, and Research).
  • Defined architecture, established layering of components, naming convention, deployment strategy, and other elements of application's infrastructure, incorporating company security requirements and considerations for simultaneous development by several developers for Bessemer Trust.
  • Developed enterprise web application for secure document delivery and processing using iManage and Tumbleweed. Devised an overall strategy for the centralized framework and application management, database synchronization schedules and updates for Goldman Sachs.
  • Developed programmatic SDK API for Bear Stearns' institutional clients to interface with Bear Stearns' security transactions and clearance infrastructure. Responsible for defining the technical architecture to interface with the firm's Entitlement Systems to extend existing Single Sign On infrastructure with EJB for Bear Stearns.
Technologies: IIS, Active Server Pages (ASP), Visual Basic, SQL, Java, C++, ETL, Python, Git, Docker, Data Architecture, Architecture, Business Analysis, Business Requirements, Stakeholder Management, Technical Leadership, People Management, Data Modeling, Dimensional Modeling, Visual Basic for Applications (VBA), HTTP, Data Strategy

Architect

1996 - 1997
Intelisys, Inc.
  • Developed a fault-tolerant network security design and system administration for the electronic commerce message exchange.
Technologies: Cisco, IIS, C++, SQL, Docker, Architecture, Stakeholder Management, Data Modeling, Visual Basic for Applications (VBA), HTTP

Experience

Impacting Lives

Entrepreneur and initiator and problem-solver using resourcefulness, agility, and creativity to break down and overcome organizational barriers and drive quick tactical executions that have a big profound strategic impact.

Most recently I founded a technology start-up to help secure and protect from cyber threats to critical infrastructures in the nation's largest transportation sector. Spanning across multiple agencies, I helped identify infrastructure and application vulnerabilities, improve security operations monitoring, and formulate escalation and mitigation strategy to help safeguard the lives of 8.6 million average daily commuters.

Impacting Finance

I started technology department to deliver and maintain competitive advantage and play the critical role in growing from a $2 billion single-strategy, one office hedge fund firm into a $20 billion multi-strategy, multi-office global hedge fund firm.

eyeMark

I authored a real-time scanning and trend reporting application to conduct a vulnerability analysis of both known and unknown devices connected to the outside internet from the internal corporate environment in order to assess enterprise footprint and exposure to outside threat actors.

Education

1989 - 1993

Bachelor's Degree in Mathematics

Polytechnic University - Brooklyn, NY, USA

Certifications

FEBRUARY 2000 - FEBRUARY 2004

MCSE

Microsoft

JANUARY 2000 - JANUARY 2002

MCSD

Microsoft

Skills

Libraries/APIs

React, REST APIs, Node.js, X (formerly Twitter) API, Bloomberg API, PySpark

Tools

Mongoose, Amazon EKS, Amazon Simple Queue Service (SQS), Git, AWS CloudFormation, Tableau, Microsoft Power BI, Amazon SageMaker, Observability Tools, Amazon Elastic Container Service (ECS), Amazon Simple Notification Service (SNS), Grafana, Vim Text Editor, Advent Geneva, Microsoft Excel

Languages

Java, Python, Go, JavaScript, C#, SQL, Excel VBA, Rust, Visual Basic for Applications (VBA), TypeScript, VB, C++, Visual Basic, Active Server Pages (ASP), Objective-C, Python 3, GraphQL, Snowflake

Frameworks

Swagger, Angular, .NET, Flask, Flutter, Apache Spark, Selenium, Hadoop, Ruby on Rails 6

Paradigms

ETL, Microservices, Agile, Dimensional Modeling, API Observability, Automation

Platforms

Apache Kafka, Amazon Web Services (AWS), Windows, Docker, Linux, Kubernetes, Mobile, Databricks, AWS Lambda, Azure, Blockchain, Solaris, Visual Studio Code (VS Code), Amazon

Storage

Microsoft SQL Server, MongoDB, PostgreSQL, Data Pipelines, SQL Stored Procedures, Elasticsearch, JSON, Amazon S3 (AWS S3), MySQL

Industry Expertise

Cybersecurity, Trading Systems

Other

Hedge Funds, Data Engineering, Data Architecture, Big Data Architecture, Architecture, Business Analysis, Business Requirements, Stakeholder Management, Back-end, Technical Leadership, Product Management, People Management, Full-stack, Data Modeling, Data Analytics, Data Transformation, SDKs, HTTP, Data Visualization, Trading, Algorithmic Trading, Distributed Systems, Large-scale Distributed Systems, Relational Database Services (RDS), Data Analysis, Data Strategy, Data Management, MDM, Business Continuity & Disaster Recovery (BCDR), Unix Shell Scripting, AWS Cloud Architecture, Data Governance, Data Build Tool (dbt), Data Warehousing, Star Schema, Prometheus, Workflow Automation & System Integration, Algorithms, Scraping, Web Scraping, Identity & Access Management (IAM), Crypto, Web Crawlers, Web3, Cryptocurrency, Options Trading, SCADA, IIS, Cisco, Intuit QuickBooks, BizTalk, Cosmos, CI/CD Pipelines, Timescale, Web Development, Mathematics, Concise Binary Object Representation (CBOR)

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