Initiated and executed Growth-Line-of-Credit (GLOC) ACH automation project, achieving flawless daily imports, a 99% audit reconciliation rate for GLOC customers, and enhanced process efficiency

Collaborated closely with Risk team to resolve complex customer-centric issues, implementing comprehensive features and infrastructure improvements to enhance internal processes

Led implementation of SFTP system and standardized incoming Mailchimp webhooks, optimizing data management capabilities and setting the stage for future projects

Maintained open communication and stakeholder collaboration, contributing to improved customer experiences; played a key role in the growth transition from a team of 35 to over 100 employees

Upgraded out-of-date IPO services and interfaces for middle office advisors

Assembled real-time IPO service pipeline for deals and customer orders flowing from E*TRADE to Morgan Stanley

Composed and documented critical daily batch processes for advisor equities, mutual funds, and fees

Delineated and optimized legacy C services

Scripted bulk copy programs to facilitate management fee calculations and analysis

Produced manipulable Job Control Language code generator written in Python

Maintained version control, test suites, API & websocket framework documentation, and general application deployments

Implemented fault-tolerant and auto-scaling backend system to run API and websocket servers

Built continuous integration pipeline for staging and production, resulting in zero downtime application updates

On App Store: 'Underground Sound – UGS'

Designed plugin transforms analyzing API sourced data to visually display sensitive information on Maltego software platform

Developed client-requested dynamic display of customizable data characteristics using company API

Illustrated client-facing Python library, facilitating access to proprietary DarkOwl API

Optimized internal legacy processes with streamlined programming using Python and Java

Constructed interactive graphic portfolio interface displaying relevant financial indicators for company-held securities

Scripted autonomous Python applet that tracked and processed recent IPO's

Assisted senior technology team in full database encryption and security monitoring