Taking time off at the moment. Exes, esp the recent one: do NOT try me. You were ex'ed for good reason and I WILL pursue legal action. -- I am a software engineer at FDM Group, a leading global IT services provider, where I work on various projects for clients across different industries.

Experience

2022 — 2024FDM GroupSoftware Developer

2022 — 2024

Upskilled in various tech frameworks as required by market demand from finance clients.

2023 — 2023Boost Payment SolutionsSoftware Developer

2023 — 2023

Worked in Agile/Scrum-based engineering team, collaborated cross-functionally with client management, operations. Responsibilities ranged from business analyst, data analyst, to engineering tasks

Worked with users to capture requirements for system, implemented with Jira, ensured business logic was correctly reflected in system, investigated current system, and performed updates as necessary

Cooperated with Operations team to let them know when to escalate to external organizations as necessary

· Implemented hotfixes to ensure correct functioning of legacy codebase, implemented with MSSQL, trained users to interact with programs

Documented patterns in program functioning to report to upper management, advised upper management on feasibility of AI/ML usage for email parsing

2019 — 2019The Corcoran GroupSoftware Engineering Intern

2019 — 2019

Greater New York City Area

Refactored, fixed bugs, wrote tests for The Corcoran Group website redesign

Worked in Agile/Scrum based team on company's public website

Fixed bugs in and refactored for website's larger features

Wrote unit tests in Jest and Enzyme for website's React components

Integrated linter as pre-commit hooks for correct code conventions, integrated analytics libraries like FullStory and Google Analytics, integrated Lighthouse for evaluating performance score on local machines

2018 — 2018Curbell MedicalStudent Software Team Member - Intramural Project

2018 — 2018

Buffalo/Niagara, New York Area

Built a convolutional neural network to determine if machine learning is feasible for Curbell Medical’s product ideas, collaborated with electrical engineers and business leaders to validate product ideas

Designed and developed convolutional neural network in Python for human activity classification based on accelerometer time series data with 97% accuracy

Collaborated with development and business teams to create product ideation deliverables for wearable fall detection device for hospital patients

2017 — 2017The National "I Have A Dream" FoundationData Analyst Intern

2017 — 2017

Greater New York City Area

Performed statistical analysis on the effectiveness of I Have a Dream Foundation's services for low-income students nationwide, made recommendations on how to better manage/lead locations across different US territories

Wrote Python programs to evaluate and compare the effectiveness of I Have a Dream Foundation's various services for low income students nationwide using large datasets

Insights from the data informed high level benchmarking and budgeting decisions concerning services provided across nationwide locations