Nicholas Arciero, Distributed Systems Developer in Boulder, CO, United States
Nicholas Arciero

Distributed Systems Developer in Boulder, CO, United States

Member since August 5, 2019
Nicholas worked in fintech for the past three years at a quant trading firm where he built full-stack applications related to headline/news trading, signal generation, and data analysis. He works on things like a large scale web scraper and low-latency data feeds. He routinely builds server apps, APIs, web UIs, and everything in between (databases, messaging, etc.).
Nicholas is now available for hire

Portfolio

  • Freelance
    React, Typescript, Node.js, Next.js, GraphQL, Postgres, Elasticsearch, AWS...
  • Susquehanna International Group
    C#, .NET Core, Python, TypeScript, React, MongoDB, Elasticsearch, GraphQL...
  • PRISE, LLC
    AWS Lambda, AWS API Gateway, AWS DynamoDB, iOS, Flutter, Firebase, Swift...

Experience

Location

Boulder, CO, United States

Availability

Part-time

Preferred Environment

macOS, Visual Studio, Code, JupyterLab, Git

The most amazing...

...project I've worked on is a mobile jukebox app that lets users play music on a jukebox I built running on Raspberry Pi connected to a university's PA system.

Employment

  • Full-Stack Developer

    2019 - PRESENT
    Freelance
    • Developed a full-stack application for luxury/private chef services including a frontend where customers can browse and book chef experiences (like Airbnb) along with a dashboard for admins and chefs to manage their bookings and current offerings.
    • Developed a full-stack application for a large soccer academy for managing their programs/camps and tracking player statistics, including an admin dashboard and a customer portal for parents to view their child's progress and register for new camps.
    • Developed a curated book search engine built on Elasticsearch along with a UI where users can search for new book recommendations.
    Technologies: React, Typescript, Node.js, Next.js, GraphQL, Postgres, Elasticsearch, AWS, GCP, Stripe
  • Software Engineer

    2016 - 2019
    Susquehanna International Group
    • Contributed as part of the strategic options trading tech team focused on news-related trading software. Worked on numerous full-stack applications used by research analysts and traders as well as low-latency “headless” trading-related apps.
    • Served as the lead developer/designer of distributed, realtime web scraper performing over 2 million scrapes/day. I also developed a front-end admin UI (website) for managing and monitoring thousands of scrapes.
    • Designed and developed next-gen low-latency software used to parse news and produce trading signals.
    • Developed a framework and application for research analysts and traders to create custom trading signals based on breaking news stories. I also created a frontend UI providing the ability to discover new signals (using Elasticsearch), backtest potential signals, and view/edit live signals.
    • Developed a real-time monitoring/alerting system using data analysis tools to detect abnormalities in automated trading activity.
    Technologies: C#, .NET Core, Python, TypeScript, React, MongoDB, Elasticsearch, GraphQL, Pandas/NumPy, C++
  • Full-stack Software Engineer

    2015 - 2019
    PRISE, LLC
    • Designed and developed multiple iterations of an iOS health and fitness app.
    • Developed and deployed various APIs on AWS Lambda supporting an API subscription key system for different access tiers.
    • Created a custom back-end API for mobile apps using ASP.NET running on AWS EC2 instances backed by DynamoDB.
    • Built a custom login/registration web app using the IdentityServer framework that integrated with Stripe payments to allow users to enroll in a subscription-based mobile app.
    • Created a cross-platform health and fitness mobile app using the Flutter framework integrating with Firebase.
    Technologies: AWS Lambda, AWS API Gateway, AWS DynamoDB, iOS, Flutter, Firebase, Swift, JavaScript, Python, C#
  • Software Developer

    2014 - 2015
    Fiserv, Inc
    • Worked on web-based auto-lending software using C#, ASP.NET, HTML, JavaScript, CSS, and SQL Server.
    • Developed web UI for viewing, managing, and testing Microsoft Service Bus message queues.
    • Built an Excel add-in (C#) used for generating various business reports.
    • Prototyped a business reporting dashboard using Kendo UI.
    Technologies: C#, JavaScript, HTML, CSS, SQL Server, Service Bus, Kendo UI

Experience

  • Jukebox App (Development)

    For my senior project in college, I developed a “social jukebox” music app for iOS. The idea was to allow users in the same geographical location (ex. Student Center) to connect to a virtual jukebox and add songs to a queue. Users could then upvote/downvote songs to re-prioritize the queue, adding a fun social aspect to the traditional jukebox.

    The jukebox was a custom music streaming server I built running on Raspberry Pi. The Raspberry Pi would be connected to a sound system (since that's where the music plays from) and users would just have to be on the same WiFi network in order to see/connect to the jukebox (just like a Chromecast). The jukebox server was connected to Spotify's API allowing full access to their catalog of music.

    I ended up testing a pilot for my university's student center.

  • PRISE Life (Development)
    https://apps.apple.com/us/app/prise-life/id1459589958

    PRISE Life is a health/fitness app running on iOS and Android that allows users to receive a customized meal plan based on the Protein Pacing diet. It also provides access to a catalog of exercise videos and routines that can be streamed anytime.

    I designed and developed the entire app using Flutter, Firebase, and AWS Lambda + API Gateway. Currently, there are ~500 users on the platform.

  • DFS Data Scraper (Development)

    A friend and I are developing a model for generating optimal entries into Daily Fantasy Sports (DFS) contests in order to maximize profits based on available sports data.

    In order to collect and aggregate data for the model, I developed a web scraper using Puppeteer (headless browser) to scrape numerous historical datasets from popular sports data sources. Most sites do not have APIs so I had to write custom Puppeteer scripts that could deal with things like logging in, filling out forms, and clicking buttons. I was able to successfully scrape data for 4 major sports across 3 different sites.

Skills

  • Languages

    C#, Python, TypeScript, GraphQL, HTML, HTML5, SQL, JavaScript, HTML/CSS, CSS, C++, Swift, Dart, Ruby
  • Frameworks

    .NET Core, ASP.NET Core, ASP.NET MVC, ASP.NET Web API, .NET, Material-UI, Next.js, Flask, Express.js, Flutter, ASP.NET, Tailwind CSS
  • Libraries/APIs

    React, Puppeteer, Node.js, REST APIs, Pandas, NumPy
  • Tools

    JSX, Git, GitHub, Prisma, React Apollo, Auth0, Nginx
  • Paradigms

    REST, Agile Software Development, Clean Architecture, Database Design
  • Other

    Back-end, Web Scraping, Data Scraping, Front-end, UI, UX, Serverless, Distributed Systems, Data Analysis, Trading Applications, Low-latency Software, APIs, Apollo, Apollo Server, Material Design, AWS, Options Trading
  • Platforms

    iOS, Linux, Docker, Firebase, Amazon Web Services (AWS), AWS Lambda, Google Cloud Platform (GCP), Azure, Android, Apache Kafka, Kubernetes, Heroku, AWS EC2
  • Storage

    Elasticsearch, MongoDB, SQLite, PostgreSQL, NoSQL, AWS DynamoDB, Microsoft SQL Server, MySQL, Redis
  • Industry Expertise

    Fintech

Education

  • Bachelor of Science degree in Computer Science
    2012 - 2016
    Villanova University - Pennsylvania

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