- Accepted the role of Tech Lead for team in mid-2022 to manage team’s work velocity and commitments in two week sprints, managing a team of anywhere between six to ten engineers at a given time- Oversaw the completion the Custom Partner ID migration; a feature implementation in a Node.js task processor that allowed AutoFi to submit loan applications on behalf of our partners, correctly associating submitted deals to partners, as well as reducing financial impact to the company- Optimized testing pipelines across managed applications and packages to improve developer experience by reducing CI time by at least 30% and false failures by 100% in Github Actions- Engineered the Chameleon utility; a Node.js drop in framework that allows a user to wire into two separate functions to run rate limited A/B tests- Extended the Process Context framework to include Service Passport, providing the ability to pass Process Context objects inside JWT tokens between AutoFi services on HTTP calls

- Implemented the CDK integration; an external API connection that would allow our dealer clients to push funded deals to their own DMS (Data Management System) to save on re-inputting deals whenever an application was submitted as a Node.js RMQ task- Designed the Marshaller, a JSON-based DSL that allows the transformation of a data object from it’s current structure to a new object, based on a provided mapping- Created a centralized logging and auditing tool that was intended to provided visibility in any workflow called Process Context- Maintained the central Decisioning application; a Node.js Express app and RMQ task processor dedicated to all activities related to loan application submission

- Managed entire software development life cycle for internal fullstack Python Flask web application designed for supervision of global financial revenue- Lead Client Master REST API development and deployment of Python Flask application onto AWS EC2 instances using Infrastructure-as-Code to communicate data to and from Salesforce instance- Optimized enterprise-grade Python applications to reduce export times to various consumers by over 80% by leveraging SQLAlchemy - Maintained Spark ETL ingestion pipelines running on AWS EMR via internally built PySpark application to convert raw vendor data into normalized models- Designed and implemented PySpark application that leveraged PostgreSQL instance on AWS to transform data into various states for export/consumption

- Constructed Node.js Express application to scrape managed Facebook, Twitter, and Instagram pages to store,monitor, and report on engagement activity- Designed a Python Flask-SocketIO application that could monitor given Facebook and Instagram posts allowingusers to "grade" the content of comments in real time- Developed a large scale Python Flask API that managed large sets of consumer data in MongoDB- Created a modular authentication layer for Node.js Express applications- Converted PhotoShop documents to HTML email creative templates for customization in Mailchimp

- Developed a Java reporting tool for employees to provide clients with accurate Excel documents reflecting email campaign statistics- Engineered monthly automated processes for data team to export large amounts of data from internal databases (MySQL and Oracle) and format them in Python to send to various clients- Maintained legacy Java code for internal ESP that managed email delivery and data transfer between Salesforce and Java application through Heroku- Designed internal Java tool in Struts for data team that would dynamically allocate customers from an Oracle database to stores using a proprietary algorithm- Constructed the design and implementation for a new internal ESP to replace legacy Java code in Python that would run on Amazon AWS- Deployed a Python-Flask application that would run the creation and management of campaigns through Celery tasks running proprietary algorithms

- Deployed over 1,000 devices (Chromebooks, Staff Laptops, Student Desktops, Wireless Access Points, Printers)- Collaborated with network engineers on network redesign in five different locations- Updated and created logon and printer scripts using Windows VBScript- Migrated the data of selected staff members from an End of Life (EOL) laptop/desktop to its replacement

• Assisted with preparation of Excel spreadsheets for monthly meetings with Metropolitan Transportation Authority (MTA)• Supported analysis for construction related data• Prepared analysis and documentation using Request for Information (RFI) data• Assisted senior management with data analysis of Microsoft Excel Spreadsheets

• Responsible for inventory of cleaning supplies and tools• Manage cleaning for multiple business accounts• Coordinate snow removal for multiple properties• Implement a system of cost reduction and managementMy time at I-M Cleaning was very valuable because it taught me how important customer satifaction is. I-M is a family owned and operated business, which allowed me to interact with my customers every day. From working in the office taking calls and controlling supply shipments, to going out with the janitorial staff to assist in the actual cleaning; the importance of customer satisfaction is always a priority.

• Assured operation and functionality of computers• Verified internet access: school website, class and teacher webpages• Maintained infrastructure between computers• Scheduled future continuous updates of school computers district-wide