Software Engineer Machine Learning

MARCUS AGARD

Software Engineer

Brooklyn, NY -- 347-***-**** -- **********@*****.***

https://github.com/maragard -- https://linkedin.com/in/marcus-agard Technical Skills

Programming Languages -- Python, Node.js, SQL, Typescript, Bash, Powershell, Rust, Golang, Java, C, C++ Networking -- Wireshark/TCPDump, DNS servers, socket analysis, ufw, Snort, virtual networking w/ VirtualBox & VMWare

Frameworks -- Selenium, Sk-learn, Tensorflow, PyTorch, Flask, Django, Pandas, React, Docker, GraphQL, Next.js

Tools -- Jenkins, Ansible, Kubernetes, git, Apache Airflow, Terraform, CDK, Sonarqube Operating systems -- Windows XP - 10; Windows Server 2019, 2022, 2025; Linux distributions Debian, Ubuntu, Kali, & CentOS

Work Experience

PNC Bank, Software Developer II October 2022 - Present

● Authored robust automation workflows leveraging Python, PowerShell, and Ansible, streamlining software runtime by 80%

● Spearheaded the development and delivery of 5+ fully functional automation modules, exceeding individual project goals by 20% and boosting overall bank productivity by 130%

● Eliminated 10+ vulnerabilities in team's API and React front-end by implementing strict input validation and output encoding, achieving a 99.99% security score

● Mentored and supervised 2 intern teams in developing full stack frontends for the team, resulting in the onboarding of two interns to part-time roles and 200 hours of time savings.

● Championed a data-driven approach to sprint planning, analyzing past performance metrics to identify bottlenecks and optimize resource allocation, accelerating feature delivery by two sprints per quarter

Huntington Bank, Machine Learning Operations Engineer July 2022 - September 2022

● Collaborated with vendor AWS developers to engineer new infrastructure for ML model deployment, leading to 75% faster model deployment for 200+ business teams

● Composed Terraform modules to provision and manage AWS resources through Azure DevOps pipelines, improving infrastructure deployment speed by 40% and reducing deployment failures

● Shifted team processing to AWS Lambda, reducing cost overhead by $1000s FINRA, Machine Learning Operations Engineer April 2021 - May 2022

● Expedited development support for product teams with an average ticket closure in 2 days

● Architected solutions for user need within a heavily restricted cloud environment

● Piloted a Kubernetes Proof of Concept (PoC), assessing the feasibility of integrating new technologies for container orchestration and reduced deployment times by 40% in the test environment

● Enhanced existing Python and Java applications, boosting computational efficiency by 60% and reducing cost by hundreds a month

Rubbish, Data Specialist September 2017 - August 2020

● Optimized both SQL and NoSQL databases to improve app responsiveness by 90%

● Reduced data visualization build times by 85% through web API

● Automated deployment processes through CI/CD pipelines across AWS and GCP, accelerating software release cycles by 60% and reducing deployment errors by 35%, while improving developer productivity

Technical Projects

Genestealer - Capstone Project at Fullstack Academy

● Created malware in Python to exploit EternalBlue and ShellShock vulnerabilities, & self-replicate across networks

● Automated 5/7 steps of cyber kill chain through Bash & Powershell scripts

● Architected automatic C2 pipelines utilizing Amazon CloudFormation

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